Add Activepieces integration for workflow automation
- Add Activepieces fork with SmoothSchedule custom piece - Create integrations app with Activepieces service layer - Add embed token endpoint for iframe integration - Create Automations page with embedded workflow builder - Add sidebar visibility fix for embed mode - Add list inactive customers endpoint to Public API - Include SmoothSchedule triggers: event created/updated/cancelled - Include SmoothSchedule actions: create/update/cancel events, list resources/services/customers 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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{
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"AI-powered visual recognition": "AI-gestützte visuelle Erkennung",
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"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFolgen Sie diesen Anweisungen, um Ihren Clarifai (Persönliches Zugangs-Token) PAT-Schlüssel zu erhalten:\n1. Gehe zum [Sicherheits-Tab](https://clarifai.com/settings/security) in deinem Clarifai Account und erstelle einen neuen PAT Token.\n2. Kopieren Sie das PAT-Token und fügen Sie es in das PAT-Schlüsselfeld ein.\n",
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"Ask LLM": "LLM fragen",
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"Ask IGM": "IGM fragen",
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"Classify Images or Videos": "Bilder oder Videos klassifizieren",
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"Classify Text": "Text klassifizieren",
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"Image to Text": "Bild zu Text",
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"Text to Text": "Text zu Text",
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"Audio to Text": "Audio zu Text",
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"Add Inputs": "Eingaben hinzufügen",
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"Run Workflow": "Workflow ausführen",
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"Custom API Call": "Eigener API-Aufruf",
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"Send a prompt to any large language models (LLM) supported by clarifai.": "Senden Sie einen Prompt an alle großen Sprachmodelle (LLM), die von clearfai.",
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"Generate an image using the Image generating models supported by clarifai.": "Generieren Sie ein Bild mit den Bild-Generierungsmodellen, die von clarifai.",
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"Call an visual classifier AI model to recognize concepts": "KI-Modell für visuelle Klassifizierung aufrufen, um Konzepte zu erkennen",
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"Call a text classifier AI model to recognize concepts": "KI-Modell für Text-Klassifizierung aufrufen, um Konzepte zu erkennen",
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"Call an image to text AI model": "Bild zum Text-KI-Modell aufrufen",
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"Call a text to text AI model": "Text zum Text des KI-Modells aufrufen",
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"Call a audio to text AI model": "Audio zum Text-KI-Modell aufrufen",
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"Add inputs to your clarifai app": "Eingaben zu Ihrer Klarstellen-App hinzufügen",
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"Call a Clarifai workflow": "Clarifai Workflow aufrufen",
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"Make a custom API call to a specific endpoint": "Einen benutzerdefinierten API-Aufruf an einen bestimmten Endpunkt machen",
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"Model Id": "Modell-Id",
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"Prompt": "Prompt",
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"Model URL": "Modell-URL",
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"Input URL or bytes": "Input URL or bytes",
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"Input Text": "Input Text",
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"User ID": "Benutzer-ID",
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"App ID": "App-ID",
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"Workflow URL": "Workflow-URL",
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"Method": "Methode",
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"Headers": "Kopfzeilen",
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"Query Parameters": "Abfrageparameter",
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"Body": "Körper",
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"Response is Binary ?": "Antwort ist binär?",
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"No Error on Failure": "Kein Fehler bei Fehler",
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"Timeout (in seconds)": "Timeout (in Sekunden)",
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"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "Das Modell, das die Antwort generiert. Wenn das Modell nicht aufgelistet ist, erhalten Sie die Modell-ID von der clarifai Website. Beispiel : 'GPT-4' du kannst die Model ID von hier [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4) erhalten",
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"The prompt to send to the model.": "Die Eingabeaufforderung, die an das Modell gesendet wird.",
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"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL des Clarifai-Modells. Zum Beispiel https://clarifai.com/clarifai/main/models/general-image-recognition ODER eine bestimmte Version wie https://clarifai.com/main/models/general-image-recognition/versions/a7f35c01e0642fda5cf400f543e7c40. Weitere Modelle finden Sie unter https://clarifai.com/explore/models",
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"URL or base64 bytes of the image or video to classify": "URL oder Base64 Bytes des Bildes oder Videos zur Klassifizierung",
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"Text to classify": "Zu klassifizierender Text",
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"URL or base64 bytes of the image to classify": "URL oder Base64 Bytes des zu klassifizierenden Bildes",
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"URL or base64 bytes of the audio to classify": "URL oder Base64 Bytes des zu klassifizierenden Audios",
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"User ID to associate with the input": "Benutzer-ID zur Verknüpfung mit der Eingabe",
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"App ID (project) to associate with the input": "App-ID (Projekt), die mit der Eingabe verknüpft werden soll",
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"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL des Clarifai-Workflows. Zum Beispiel https://clarifai.com/clarifai/main/workflows/Demographics. Weitere Workflows finden Sie unter https://clarifai.com/explore/workflows",
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"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL oder Base64 Bytes des eingehenden Bilds/Video/Text/Audio, um den Workflow zu durchlaufen. Hinweis: must be appropriate first step of the workflow to handle that data typ.",
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"Authorization headers are injected automatically from your connection.": "Autorisierungs-Header werden automatisch von Ihrer Verbindung injiziert.",
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"Enable for files like PDFs, images, etc..": "Aktivieren für Dateien wie PDFs, Bilder, etc..",
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"GET": "ERHALTEN",
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"POST": "POST",
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"PATCH": "PATCH",
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"PUT": "PUT",
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"DELETE": "LÖSCHEN",
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"HEAD": "HEAD"
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}
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{
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"AI-powered visual recognition": "Reconocimiento visual impulsado por AIs",
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"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nSigue estas instrucciones para obtener tu clave PAT Clarifai (token de acceso personal) de Clarifai:\n1. Ve a la [pestaña de seguridad](https://clarifai.com/settings/security) en tu cuenta de Clarifai y genera un nuevo token PAT.\n2. Copia el token PAT y pégalo en el campo Clave PAT.\n",
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"Ask LLM": "Preguntar LLM",
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"Ask IGM": "Preguntar IGM",
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"Classify Images or Videos": "Clasificar imágenes o vídeos",
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"Classify Text": "Clasificar texto",
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"Image to Text": "Imagen a texto",
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"Text to Text": "Texto a texto",
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"Audio to Text": "Audio a texto",
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"Add Inputs": "Añadir entradas",
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"Run Workflow": "Ejecutar workkflow",
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"Custom API Call": "Llamada API personalizada",
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"Send a prompt to any large language models (LLM) supported by clarifai.": "Envíe un mensaje a cualquier modelo de idioma de gran tamaño (LLM) apoyado por aclarai.",
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"Generate an image using the Image generating models supported by clarifai.": "Generar una imagen usando los modelos de generación de imágenes soportados por aclarai.",
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"Call an visual classifier AI model to recognize concepts": "Llamar a un modelo de IA clasificador visual para reconocer conceptos",
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"Call a text classifier AI model to recognize concepts": "Llamar a un modelo de IA clasificador de texto para reconocer conceptos",
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"Call an image to text AI model": "Llamar a una imagen al modelo AI de texto",
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"Call a text to text AI model": "Llamar a un texto al modelo de IA texto",
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"Call a audio to text AI model": "Llamar a un audio al modelo de IA de texto",
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"Add inputs to your clarifai app": "Añadir entradas a tu aplicación clarifai",
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"Call a Clarifai workflow": "Llamar a un flujo de trabajo Clarifai",
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"Make a custom API call to a specific endpoint": "Hacer una llamada API personalizada a un extremo específico",
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"Model Id": "Id del Modelo",
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"Prompt": "Petición",
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"Model URL": "URL del modelo",
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"Input URL or bytes": "Input URL or bytes",
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"Input Text": "Input Text",
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"User ID": "ID Usuario",
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"App ID": "ID App",
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"Workflow URL": "URL de flujo de trabajo",
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"Method": "Método",
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"Headers": "Encabezados",
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"Query Parameters": "Parámetros de consulta",
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"Body": "Cuerpo",
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"Response is Binary ?": "¿Respuesta es binaria?",
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"No Error on Failure": "No hay ningún error en fallo",
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"Timeout (in seconds)": "Tiempo de espera (en segundos)",
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"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "El modelo que generará la respuesta. Si el modelo no aparece en la lista, obtenga el id del modelo del sitio web clarifai. Ejemplo: 'GPT-4' puedes obtener el id del modelo desde aquí [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
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"The prompt to send to the model.": "El prompt para enviar al modelo.",
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"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL del modelo Clarifai. Por ejemplo https://clarifai.com/clarifai/main/models/general-image-recognition O una versión específica como https://clarifai.com/clarifai/main/models/general-image-cometion/versions/aa7f35c01e0642fda5cf400f543e7c40. Encuentra más modelos en https://clarifai.com/explore/models",
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"URL or base64 bytes of the image or video to classify": "URL o bytes base64 de la imagen o vídeo a clasificar",
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"Text to classify": "Texto a clasificar",
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"URL or base64 bytes of the image to classify": "URL o bytes base64 de la imagen a clasificar",
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"URL or base64 bytes of the audio to classify": "URL o bytes base64 del audio a clasificar",
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"User ID to associate with the input": "ID de usuario para asociar con la entrada",
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"App ID (project) to associate with the input": "ID de la aplicación (proyecto) para asociar con la entrada",
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"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL del flujo de trabajo Clarifai. Por ejemplo https://clarifai.com/clarifai/main/workflows/Demographics. Encuentre más flujos de trabajo en https://clarifai.com/explore/workflows",
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"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL o bytes base64 de la imagen/video/texto/audio entrante para correr a través del flujo de trabajo. Nota: debe ser el primer paso apropiado del flujo de trabajo para manejar ese tipo de datos.",
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"Authorization headers are injected automatically from your connection.": "Las cabeceras de autorización se inyectan automáticamente desde tu conexión.",
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"Enable for files like PDFs, images, etc..": "Activar para archivos como PDFs, imágenes, etc.",
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"GET": "RECOGER",
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"POST": "POST",
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"PATCH": "PATCH",
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"PUT": "PUT",
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"DELETE": "BORRAR",
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"HEAD": "LIMPIO"
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}
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{
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"AI-powered visual recognition": "Reconnaissance visuelle par IA",
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"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
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"Ask LLM": "Demander à LLM",
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"Ask IGM": "Demander IGM",
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"Classify Images or Videos": "Classer Images ou Vidéos",
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"Classify Text": "Classer le texte",
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"Image to Text": "Image au texte",
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"Text to Text": "Texte au texte",
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"Audio to Text": "Audio au texte",
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"Add Inputs": "Ajouter des entrées",
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"Run Workflow": "Exécuter le flux de travail",
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"Custom API Call": "Appel API personnalisé",
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"Send a prompt to any large language models (LLM) supported by clarifai.": "Envoyez une invite à tous les grands modèles de langue (LLM) supportés par clarifai.",
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"Generate an image using the Image generating models supported by clarifai.": "Générer une image en utilisant les modèles de génération d'image pris en charge par clarifai.",
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"Call an visual classifier AI model to recognize concepts": "Appeler un modèle IA de classeur visuel pour reconnaître les concepts",
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"Call a text classifier AI model to recognize concepts": "Appeler un modèle IA de classificateur de texte pour reconnaître les concepts",
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"Call an image to text AI model": "Appeler une image au modèle de l'IA",
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"Call a text to text AI model": "Appeler un texte vers le modèle de l'IA",
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"Call a audio to text AI model": "Appeler un fichier audio vers le modèle de l'IA",
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"Add inputs to your clarifai app": "Ajouter des entrées à votre application clarifai",
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"Call a Clarifai workflow": "Appeler un workflow Clarifai",
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"Make a custom API call to a specific endpoint": "Passez un appel API personnalisé à un point de terminaison spécifique",
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"Model Id": "Identifiant du modèle",
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"Prompt": "Prompt",
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"Model URL": "URL du modèle",
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"Input URL or bytes": "Input URL or bytes",
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"Input Text": "Input Text",
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"User ID": "Identifiant de l'utilisateur",
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"App ID": "ID de l'application",
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"Workflow URL": "URL du workflow",
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"Method": "Méthode",
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"Headers": "En-têtes",
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"Query Parameters": "Paramètres de requête",
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"Body": "Corps",
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"Response is Binary ?": "La réponse est Binaire ?",
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"No Error on Failure": "Aucune erreur en cas d'échec",
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"Timeout (in seconds)": "Délai d'attente (en secondes)",
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"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "Le modèle qui va générer la réponse. Si le modèle n'est pas listé, obtenir l'id du modèle à partir du site Web de clarifai. Exemple : 'GPT-4' vous pouvez obtenir l'id du modèle ici [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
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"The prompt to send to the model.": "L'invite à envoyer au modèle.",
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"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL du modèle Clarifai. Par exemple https://clarifai.com/clarifai/main/models/general-image-recognition OU une version spécifique telle que https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Trouver d'autres modèles sur https://clarifai.com/explore/models",
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"URL or base64 bytes of the image or video to classify": "URL ou octets base64 de l'image ou de la vidéo à classer",
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"Text to classify": "Texte à classer",
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"URL or base64 bytes of the image to classify": "URL ou octets base64 de l'image à classer",
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"URL or base64 bytes of the audio to classify": "URL ou octets base64 de l'audio à classer",
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"User ID to associate with the input": "ID de l'utilisateur à associer avec l'entrée",
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"App ID (project) to associate with the input": "ID de l'application (projet) à associer à l'entrée",
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"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL du flux de travail Clarifai. Par exemple https://clarifai.com/clarifai/main/workflows/Demographics. Trouvez plus de workflows sur https://clarifai.com/explore/workflows",
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"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL ou base64 octets de l'image entrante/vidéo/texte/audio à exécuter à travers le workflow. Note: doit être la première étape appropriée du workflow pour gérer ce type de données.",
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"Authorization headers are injected automatically from your connection.": "Les en-têtes d'autorisation sont injectés automatiquement à partir de votre connexion.",
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"Enable for files like PDFs, images, etc..": "Activer pour les fichiers comme les PDFs, les images, etc.",
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"GET": "OBTENIR",
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"POST": "POSTER",
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"PATCH": "PATCH",
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"PUT": "EFFACER",
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"DELETE": "SUPPRIMER",
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"HEAD": "TÊTE"
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}
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{
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"AI-powered visual recognition": "AIを搭載した視覚認識",
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"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
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"Ask LLM": "LLMに聞く",
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"Ask IGM": "IGMに聞く",
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"Classify Images or Videos": "画像や動画を分類",
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"Classify Text": "テキストを分類",
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"Image to Text": "画像からテキストへ",
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"Text to Text": "テキストからテキストへ",
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"Audio to Text": "音声からテキストへ",
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"Add Inputs": "入力を追加",
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"Run Workflow": "ワークフローを実行",
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"Custom API Call": "カスタムAPI通話",
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"Send a prompt to any large language models (LLM) supported by clarifai.": "クラライファイでサポートされている任意の大きな言語モデル (LLM) にプロンプトを送信します。",
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"Generate an image using the Image generating models supported by clarifai.": "明確化によってサポートされている画像生成モデルを使用して画像を生成します。",
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"Call an visual classifier AI model to recognize concepts": "コンセプトを認識するためにビジュアル分類器AIモデルを呼び出します。",
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"Call a text classifier AI model to recognize concepts": "概念を認識するためにテキスト分類器AIモデルを呼び出します。",
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"Call an image to text AI model": "テキストAIモデルに画像を呼び出す",
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"Call a text to text AI model": "テキストAIモデルにテキストを呼び出す",
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"Call a audio to text AI model": "テキストAIモデルにオーディオを呼び出す",
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"Add inputs to your clarifai app": "クラリファイアプリに入力を追加",
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"Call a Clarifai workflow": "クラリファイのワークフローを呼び出す",
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"Make a custom API call to a specific endpoint": "特定のエンドポイントへのカスタム API コールを実行します。",
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"Model Id": "モデル ID",
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"Prompt": "Prompt",
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"Model URL": "モデル URL",
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"Input URL or bytes": "Input URL or bytes",
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"Input Text": "Input Text",
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"User ID": "ユーザー ID",
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"App ID": "アプリ ID",
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"Workflow URL": "ワークフロー URL",
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"Method": "方法",
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"Headers": "ヘッダー",
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"Query Parameters": "クエリパラメータ",
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"Body": "本文",
|
||||
"Response is Binary ?": "応答はバイナリですか?",
|
||||
"No Error on Failure": "失敗時にエラーはありません",
|
||||
"Timeout (in seconds)": "タイムアウト（秒）",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "レスポンスを生成するモデル。モデルが表示されていない場合は、Clarfaiのウェブサイトからモデル ID を取得します。 例 : 'GPT-4' ここからモデル ID を取得できます [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clearfai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "モデルに送信するプロンプト。",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "ClarifaiモデルのURL。例えば、https://clearfai.com/clearfai/main/models/general-image-recognition または https://clearfai.com/clearfai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. https://clearfai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URLまたは画像またはビデオのbase64バイトを分類する",
|
||||
"Text to classify": "分類するテキスト",
|
||||
"URL or base64 bytes of the image to classify": "URLまたは画像のbase64バイトを分類する",
|
||||
"URL or base64 bytes of the audio to classify": "URLまたはオーディオのbase64バイトを分類する",
|
||||
"User ID to associate with the input": "入力に関連付けるユーザー ID",
|
||||
"App ID (project) to associate with the input": "入力に関連付けるアプリ ID (プロジェクト)",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "ClarifaiワークフローのURL。例えば https://clearfai.com/clearfai/main/workflows/Demographics。詳細はhttps://clearfai.com/explore/workflowsをご覧ください。",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "ワークフローを通して実行する画像/ビデオ/オーディオのURLまたはbase64バイト。 注: そのデータ型を処理するためには、ワークフローの適切な最初のステップである必要があります。",
|
||||
"Authorization headers are injected automatically from your connection.": "認証ヘッダは接続から自動的に注入されます。",
|
||||
"Enable for files like PDFs, images, etc..": "PDF、画像などのファイルを有効にします。",
|
||||
"GET": "取得",
|
||||
"POST": "POST",
|
||||
"PATCH": "PATCH",
|
||||
"PUT": "PUT",
|
||||
"DELETE": "削除",
|
||||
"HEAD": "頭"
|
||||
}
|
||||
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"AI-powered visual recognition": "Visuele herkenning op AI-aangedreven",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nVolg deze instructies om je Clarifai (Personale Toegang Token) PAT Key:\n1 te krijgen. Ga naar het [security tab](https://clarifai.com/settings/security) in je Clarifai account en genereer een nieuwe PAT token.\n2. Kopieer de PAT token en plak het in het PAT Key veld.\n",
|
||||
"Ask LLM": "Vraag LLLM",
|
||||
"Ask IGM": "IGM vragen",
|
||||
"Classify Images or Videos": "Afbeeldingen of video's indelen",
|
||||
"Classify Text": "Tekst indelen",
|
||||
"Image to Text": "Afbeelding naar tekst",
|
||||
"Text to Text": "Tekst naar tekst",
|
||||
"Audio to Text": "Audio naar tekst",
|
||||
"Add Inputs": "Invoer toevoegen",
|
||||
"Run Workflow": "Workflow uitvoeren",
|
||||
"Custom API Call": "Custom API Call",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Stuur een vraag naar een groot taalmodel (LLM), ondersteund door clarifaire.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Genereer een afbeelding met behulp van de afbeelding genereren modellen ondersteund door clarifai.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Roep een visuele classifier AI model aan om concepten te herkennen",
|
||||
"Call a text classifier AI model to recognize concepts": "Bel een tekstclassifier AI model aan om concepten te herkennen",
|
||||
"Call an image to text AI model": "Bel een afbeelding aan naar tekst AI model",
|
||||
"Call a text to text AI model": "Bel een tekst naar tekst AI model",
|
||||
"Call a audio to text AI model": "Bel een audio naar tekst AI model",
|
||||
"Add inputs to your clarifai app": "Voeg inputs toe aan je clarifai app",
|
||||
"Call a Clarifai workflow": "Bel een Clarifai workflow",
|
||||
"Make a custom API call to a specific endpoint": "Maak een aangepaste API call naar een specifiek eindpunt",
|
||||
"Model Id": "Model ID",
|
||||
"Prompt": "Prompt",
|
||||
"Model URL": "Model URL",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "Gebruiker ID",
|
||||
"App ID": "App ID",
|
||||
"Workflow URL": "Workflow URL",
|
||||
"Method": "Methode",
|
||||
"Headers": "Kopteksten",
|
||||
"Query Parameters": "Query parameters",
|
||||
"Body": "Lichaam",
|
||||
"Response is Binary ?": "Antwoord is binair?",
|
||||
"No Error on Failure": "Geen fout bij fout",
|
||||
"Timeout (in seconds)": "Time-out (in seconden)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "Het model dat het antwoord zal genereren. Als het model niet wordt weergegeven, krijg het model-id van de clarifai website. Voorbeeld : 'GPT-4' waar je het model-id van hier kunt krijgen [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "De prompt om naar het model te sturen.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL van het Clarifai model. Bijvoorbeeld https://clarifai.com/clarifai/main/models/general-image-herkenning OR een specifieke versie zoals https://clarifai.com/clarifai/main/models/general-image-herkenntion/versions/aa7f35c0642fda5cf400f543e7c40. Vind meer modellen op https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL of base64 bytes van de afbeelding of video om te classificeren",
|
||||
"Text to classify": "Tekst om te classificeren",
|
||||
"URL or base64 bytes of the image to classify": "URL of base64 bytes van de afbeelding om te classificeren",
|
||||
"URL or base64 bytes of the audio to classify": "URL of base64 bytes van de audio te classificeren",
|
||||
"User ID to associate with the input": "Gebruikers-ID om te koppelen aan de invoer",
|
||||
"App ID (project) to associate with the input": "App ID (project) om te koppelen aan de invoer",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL van de Clarifai workflow. Bijvoorbeeld https://clarifai.com/clarifai/main/workflows/Demographics. Vind meer workflows op https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL of base64 bytes van de inkomende afbeelding/video/text/audio uitvoeren door de workflow. Opmerking: moet de juiste eerste stap van de workflow zijn om dat gegevenstype te verwerken.",
|
||||
"Authorization headers are injected automatically from your connection.": "Autorisatie headers worden automatisch geïnjecteerd vanuit uw verbinding.",
|
||||
"Enable for files like PDFs, images, etc..": "Inschakelen voor bestanden zoals PDF's, afbeeldingen etc..",
|
||||
"GET": "KRIJG",
|
||||
"POST": "POSTE",
|
||||
"PATCH": "BEKIJK",
|
||||
"PUT": "PUT",
|
||||
"DELETE": "VERWIJDEREN",
|
||||
"HEAD": "HOOFD"
|
||||
}
|
||||
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"AI-powered visual recognition": "Reconhecimento visual fortalecido com IA",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nSiga estas instruções para obter sua Chave PAT do Clarifai (Token de Acesso Pessoal:\n1. Vá para a [aba de segurança](https://clarifai.com/settings/security) na sua conta Clarifai e gere um novo token PAT.\n2. Copie o token PAT e cole-o no campo Chave do PAT.\n",
|
||||
"Ask LLM": "Perguntar LLM",
|
||||
"Ask IGM": "Pergunte ao IGM",
|
||||
"Classify Images or Videos": "Classificar Imagens ou Vídeos",
|
||||
"Classify Text": "Classificar Texto",
|
||||
"Image to Text": "Imagem para texto",
|
||||
"Text to Text": "Texto para texto",
|
||||
"Audio to Text": "Áudio para texto",
|
||||
"Add Inputs": "Adicionar entradas",
|
||||
"Run Workflow": "Executar Workflow",
|
||||
"Custom API Call": "Chamada de API personalizada",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Envie um prompt para quaisquer modelos de idioma grandes (LLM) suportados por clarificação.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Gerar uma imagem usando a imagem gerando modelos suportados pela clarificação.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Chame um modelo de IA visual para reconhecer conceitos",
|
||||
"Call a text classifier AI model to recognize concepts": "Chame um modelo classificador de texto de IA para reconhecer conceitos",
|
||||
"Call an image to text AI model": "Chamar uma imagem ao modelo de IA de texto",
|
||||
"Call a text to text AI model": "Chame um texto para o modelo de IA de texto",
|
||||
"Call a audio to text AI model": "Ligue um áudio para o modelo de IA de texto",
|
||||
"Add inputs to your clarifai app": "Adicione entradas ao seu aplicativo clarificado",
|
||||
"Call a Clarifai workflow": "Chamar um fluxo de trabalho do Clarifai",
|
||||
"Make a custom API call to a specific endpoint": "Faça uma chamada de API personalizada para um ponto de extremidade específico",
|
||||
"Model Id": "Id do Modelo",
|
||||
"Prompt": "Aviso",
|
||||
"Model URL": "URL do modelo",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "ID de usuário",
|
||||
"App ID": "ID do aplicativo",
|
||||
"Workflow URL": "URL do workflow",
|
||||
"Method": "Método",
|
||||
"Headers": "Cabeçalhos",
|
||||
"Query Parameters": "Parâmetros da consulta",
|
||||
"Body": "Conteúdo",
|
||||
"Response is Binary ?": "A resposta é binária ?",
|
||||
"No Error on Failure": "Nenhum erro no Failure",
|
||||
"Timeout (in seconds)": "Tempo limite (em segundos)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "O modelo que irá gerar a resposta. Se o modelo não estiver listado, obtenha o ID do modelo no site clarifado. Exemplo: 'GPT-4' você pode obter o modelo de ajuda a partir daqui [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "O prompt para enviar para o modelo.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL do modelo Clarifai. Por exemplo, https://clarifai.com/clarifai/main/models/general-image-recognition OU uma versão específica como https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Encontre mais modelos em https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL ou bytes base64 da imagem ou vídeo para classificar",
|
||||
"Text to classify": "Texto para classificar",
|
||||
"URL or base64 bytes of the image to classify": "URL ou bytes base64 da imagem a classificar",
|
||||
"URL or base64 bytes of the audio to classify": "URL ou bytes base64 do áudio para classificar",
|
||||
"User ID to associate with the input": "ID do usuário para associar com a entrada",
|
||||
"App ID (project) to associate with the input": "App ID (projeto) para associar com a entrada",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL do fluxo de trabalho do Clarifai. Por exemplo, https://clarifai.com/clarifai/main/workflows/Demographics. Encontre mais fluxos de trabalho em https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL ou base64 bytes de entrada imagem/vídeo/text/áudio para executar o fluxo de trabalho. Nota: deve ser a primeira etapa apropriada do fluxo de trabalho para lidar com esse tipo de dados.",
|
||||
"Authorization headers are injected automatically from your connection.": "Os cabeçalhos de autorização são inseridos automaticamente a partir da sua conexão.",
|
||||
"Enable for files like PDFs, images, etc..": "Habilitar para arquivos como PDFs, imagens, etc..",
|
||||
"GET": "OBTER",
|
||||
"POST": "POSTAR",
|
||||
"PATCH": "COMPRAR",
|
||||
"PUT": "COLOCAR",
|
||||
"DELETE": "EXCLUIR",
|
||||
"HEAD": "CABEÇA"
|
||||
}
|
||||
@@ -0,0 +1,57 @@
|
||||
{
|
||||
"Clarifai": "Clarifai",
|
||||
"AI-powered visual recognition": "Визуальное распознавание на основе AI",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
|
||||
"Ask LLM": "Спросить LLM",
|
||||
"Ask IGM": "Спросить IGM",
|
||||
"Classify Images or Videos": "Классифицировать изображения или видео",
|
||||
"Classify Text": "Классифицировать текст",
|
||||
"Image to Text": "Изображение к тексту",
|
||||
"Text to Text": "Текст в текст",
|
||||
"Audio to Text": "Аудио в текст",
|
||||
"Add Inputs": "Добавить входы",
|
||||
"Run Workflow": "Запуск рабочего процесса",
|
||||
"Custom API Call": "Пользовательский вызов API",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Отправить запрос на любые большие языковые модели (LLM), поддерживаемые разъяснениями.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Генерировать изображение с помощью моделей генерации изображений, поддерживаемых ясными свойствами.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Призвать визуальную классификатор AI модель, чтобы распознать концепции",
|
||||
"Call a text classifier AI model to recognize concepts": "Вызвать модель AI классификатора текстов для распознавания концепций",
|
||||
"Call an image to text AI model": "Вызвать изображение в текстовую модель ИИ",
|
||||
"Call a text to text AI model": "Вызов текста для модели ИИ",
|
||||
"Call a audio to text AI model": "Вызвать аудио для текстовой модели ИИ",
|
||||
"Add inputs to your clarifai app": "Добавить информацию в ваше приложение для уточнения",
|
||||
"Call a Clarifai workflow": "Вызвать рабочий процесс Clarifai",
|
||||
"Make a custom API call to a specific endpoint": "Сделать пользовательский API вызов к определенной конечной точке",
|
||||
"Model Id": "ID модели",
|
||||
"Prompt": "Prompt",
|
||||
"Model URL": "URL модели",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "ID пользователя",
|
||||
"App ID": "ID приложения",
|
||||
"Workflow URL": "URL рабочего процесса",
|
||||
"Method": "Метод",
|
||||
"Headers": "Заголовки",
|
||||
"Query Parameters": "Параметры запроса",
|
||||
"Body": "Тело",
|
||||
"No Error on Failure": "Нет ошибок при ошибке",
|
||||
"Timeout (in seconds)": "Таймаут (в секундах)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "Модель, которая будет генерировать ответ. Если модель не указана, получить идентификатор модели с сайта уточнения. Пример: 'GPT-4' вы можете получить идентификатор модели отсюда [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "Запрос на отправку модели.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL модели Clarifai. Например, https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Найдите больше моделей на https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL или base64 байт изображения или видео для классификации",
|
||||
"Text to classify": "Текст для классификации",
|
||||
"URL or base64 bytes of the image to classify": "URL или base64 байт изображения для классификации",
|
||||
"URL or base64 bytes of the audio to classify": "URL или base64 байт аудио для классификации",
|
||||
"User ID to associate with the input": "ID пользователя для привязки к вводу",
|
||||
"App ID (project) to associate with the input": "App ID (проект), связанный с вводом",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL рабочего процесса Clarifai. Например https://clarifai.com/clarifai/main/workflows/Demographics. Найти больше рабочих потоков на https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL или base64 байт входящего image/video/text/audio для запуска через рабочий процесс. Примечание: для обработки этого типа данных должен быть надлежащим первым шагом рабочего процесса.",
|
||||
"Authorization headers are injected automatically from your connection.": "Заголовки авторизации включаются автоматически из вашего соединения.",
|
||||
"GET": "ПОЛУЧИТЬ",
|
||||
"POST": "ПОСТ",
|
||||
"PATCH": "ПАТЧ",
|
||||
"PUT": "ПОКУПИТЬ",
|
||||
"DELETE": "УДАЛИТЬ",
|
||||
"HEAD": "HEAD"
|
||||
}
|
||||
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"AI-powered visual recognition": "AI-powered visual recognition",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
|
||||
"Ask LLM": "Ask LLM",
|
||||
"Ask IGM": "Ask IGM",
|
||||
"Classify Images or Videos": "Classify Images or Videos",
|
||||
"Classify Text": "Classify Text",
|
||||
"Image to Text": "Image to Text",
|
||||
"Text to Text": "Text to Text",
|
||||
"Audio to Text": "Audio to Text",
|
||||
"Add Inputs": "Add Inputs",
|
||||
"Run Workflow": "Run Workflow",
|
||||
"Custom API Call": "Custom API Call",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Send a prompt to any large language models (LLM) supported by clarifai.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Generate an image using the Image generating models supported by clarifai.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Call an visual classifier AI model to recognize concepts",
|
||||
"Call a text classifier AI model to recognize concepts": "Call a text classifier AI model to recognize concepts",
|
||||
"Call an image to text AI model": "Call an image to text AI model",
|
||||
"Call a text to text AI model": "Call a text to text AI model",
|
||||
"Call a audio to text AI model": "Call a audio to text AI model",
|
||||
"Add inputs to your clarifai app": "Add inputs to your clarifai app",
|
||||
"Call a Clarifai workflow": "Call a Clarifai workflow",
|
||||
"Make a custom API call to a specific endpoint": "Make a custom API call to a specific endpoint",
|
||||
"Model Id": "Model Id",
|
||||
"Prompt": "Prompt",
|
||||
"Model URL": "Model URL",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "User ID",
|
||||
"App ID": "App ID",
|
||||
"Workflow URL": "Workflow URL",
|
||||
"Method": "Method",
|
||||
"Headers": "Headers",
|
||||
"Query Parameters": "Query Parameters",
|
||||
"Body": "Body",
|
||||
"Response is Binary ?": "Response is Binary ?",
|
||||
"No Error on Failure": "No Error on Failure",
|
||||
"Timeout (in seconds)": "Timeout (in seconds)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "The prompt to send to the model.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL or base64 bytes of the image or video to classify",
|
||||
"Text to classify": "Text to classify",
|
||||
"URL or base64 bytes of the image to classify": "URL or base64 bytes of the image to classify",
|
||||
"URL or base64 bytes of the audio to classify": "URL or base64 bytes of the audio to classify",
|
||||
"User ID to associate with the input": "User ID to associate with the input",
|
||||
"App ID (project) to associate with the input": "App ID (project) to associate with the input",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.",
|
||||
"Authorization headers are injected automatically from your connection.": "Authorization headers are injected automatically from your connection.",
|
||||
"Enable for files like PDFs, images, etc..": "Enable for files like PDFs, images, etc..",
|
||||
"GET": "GET",
|
||||
"POST": "POST",
|
||||
"PATCH": "PATCH",
|
||||
"PUT": "PUT",
|
||||
"DELETE": "DELETE",
|
||||
"HEAD": "HEAD"
|
||||
}
|
||||
@@ -0,0 +1,57 @@
|
||||
{
|
||||
"Clarifai": "Clarifai",
|
||||
"AI-powered visual recognition": "AI-powered visual recognition",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
|
||||
"Ask LLM": "Ask LLM",
|
||||
"Ask IGM": "Ask IGM",
|
||||
"Classify Images or Videos": "Classify Images or Videos",
|
||||
"Classify Text": "Classify Text",
|
||||
"Image to Text": "Image to Text",
|
||||
"Text to Text": "Text to Text",
|
||||
"Audio to Text": "Audio to Text",
|
||||
"Add Inputs": "Add Inputs",
|
||||
"Run Workflow": "Run Workflow",
|
||||
"Custom API Call": "Custom API Call",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Send a prompt to any large language models (LLM) supported by clarifai.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Generate an image using the Image generating models supported by clarifai.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Call an visual classifier AI model to recognize concepts",
|
||||
"Call a text classifier AI model to recognize concepts": "Call a text classifier AI model to recognize concepts",
|
||||
"Call an image to text AI model": "Call an image to text AI model",
|
||||
"Call a text to text AI model": "Call a text to text AI model",
|
||||
"Call a audio to text AI model": "Call a audio to text AI model",
|
||||
"Add inputs to your clarifai app": "Add inputs to your clarifai app",
|
||||
"Call a Clarifai workflow": "Call a Clarifai workflow",
|
||||
"Make a custom API call to a specific endpoint": "Make a custom API call to a specific endpoint",
|
||||
"Model Id": "Model Id",
|
||||
"Prompt": "Prompt",
|
||||
"Model URL": "Model URL",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "User ID",
|
||||
"App ID": "App ID",
|
||||
"Workflow URL": "Workflow URL",
|
||||
"Method": "Method",
|
||||
"Headers": "Headers",
|
||||
"Query Parameters": "Query Parameters",
|
||||
"Body": "Body",
|
||||
"No Error on Failure": "No Error on Failure",
|
||||
"Timeout (in seconds)": "Timeout (in seconds)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "The prompt to send to the model.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL or base64 bytes of the image or video to classify",
|
||||
"Text to classify": "Text to classify",
|
||||
"URL or base64 bytes of the image to classify": "URL or base64 bytes of the image to classify",
|
||||
"URL or base64 bytes of the audio to classify": "URL or base64 bytes of the audio to classify",
|
||||
"User ID to associate with the input": "User ID to associate with the input",
|
||||
"App ID (project) to associate with the input": "App ID (project) to associate with the input",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.",
|
||||
"Authorization headers are injected automatically from your connection.": "Authorization headers are injected automatically from your connection.",
|
||||
"GET": "GET",
|
||||
"POST": "POST",
|
||||
"PATCH": "PATCH",
|
||||
"PUT": "PUT",
|
||||
"DELETE": "DELETE",
|
||||
"HEAD": "HEAD"
|
||||
}
|
||||
@@ -0,0 +1,58 @@
|
||||
{
|
||||
"AI-powered visual recognition": "AI-powered visual recognition",
|
||||
"\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n": "\nFollow these instructions to get your Clarifai (Personal Access Token) PAT Key:\n1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.\n2. Copy the PAT token and paste it in the PAT Key field.\n",
|
||||
"Ask LLM": "Ask LLM",
|
||||
"Ask IGM": "Ask IGM",
|
||||
"Classify Images or Videos": "Classify Images or Videos",
|
||||
"Classify Text": "Classify Text",
|
||||
"Image to Text": "Image to Text",
|
||||
"Text to Text": "Text to Text",
|
||||
"Audio to Text": "Audio to Text",
|
||||
"Add Inputs": "Add Inputs",
|
||||
"Run Workflow": "Run Workflow",
|
||||
"Custom API Call": "自定义 API 呼叫",
|
||||
"Send a prompt to any large language models (LLM) supported by clarifai.": "Send a prompt to any large language models (LLM) supported by clarifai.",
|
||||
"Generate an image using the Image generating models supported by clarifai.": "Generate an image using the Image generating models supported by clarifai.",
|
||||
"Call an visual classifier AI model to recognize concepts": "Call an visual classifier AI model to recognize concepts",
|
||||
"Call a text classifier AI model to recognize concepts": "Call a text classifier AI model to recognize concepts",
|
||||
"Call an image to text AI model": "Call an image to text AI model",
|
||||
"Call a text to text AI model": "Call a text to text AI model",
|
||||
"Call a audio to text AI model": "Call a audio to text AI model",
|
||||
"Add inputs to your clarifai app": "Add inputs to your clarifai app",
|
||||
"Call a Clarifai workflow": "Call a Clarifai workflow",
|
||||
"Make a custom API call to a specific endpoint": "将一个自定义 API 调用到一个特定的终点",
|
||||
"Model Id": "Model Id",
|
||||
"Prompt": "Prompt",
|
||||
"Model URL": "Model URL",
|
||||
"Input URL or bytes": "Input URL or bytes",
|
||||
"Input Text": "Input Text",
|
||||
"User ID": "User ID",
|
||||
"App ID": "App ID",
|
||||
"Workflow URL": "Workflow URL",
|
||||
"Method": "方法",
|
||||
"Headers": "信头",
|
||||
"Query Parameters": "查询参数",
|
||||
"Body": "正文内容",
|
||||
"Response is Binary ?": "Response is Binary ?",
|
||||
"No Error on Failure": "失败时没有错误",
|
||||
"Timeout (in seconds)": "超时(秒)",
|
||||
"The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)": "The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)",
|
||||
"The prompt to send to the model.": "The prompt to send to the model.",
|
||||
"URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models": "URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models",
|
||||
"URL or base64 bytes of the image or video to classify": "URL or base64 bytes of the image or video to classify",
|
||||
"Text to classify": "Text to classify",
|
||||
"URL or base64 bytes of the image to classify": "URL or base64 bytes of the image to classify",
|
||||
"URL or base64 bytes of the audio to classify": "URL or base64 bytes of the audio to classify",
|
||||
"User ID to associate with the input": "User ID to associate with the input",
|
||||
"App ID (project) to associate with the input": "App ID (project) to associate with the input",
|
||||
"URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows": "URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows",
|
||||
"URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.": "URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.",
|
||||
"Authorization headers are injected automatically from your connection.": "授权头自动从您的连接中注入。",
|
||||
"Enable for files like PDFs, images, etc..": "Enable for files like PDFs, images, etc..",
|
||||
"GET": "获取",
|
||||
"POST": "帖子",
|
||||
"PATCH": "PATCH",
|
||||
"PUT": "弹出",
|
||||
"DELETE": "删除",
|
||||
"HEAD": "黑色"
|
||||
}
|
||||
@@ -0,0 +1,79 @@
|
||||
import {
|
||||
HttpMethod,
|
||||
createCustomApiCallAction,
|
||||
httpClient,
|
||||
} from '@activepieces/pieces-common';
|
||||
import { PieceAuth, createPiece } from '@activepieces/pieces-framework';
|
||||
import { PieceCategory } from '@activepieces/shared';
|
||||
import { clarifaiAskLLM } from './lib/actions/ask-llm';
|
||||
import { audioToTextModelPredictAction } from './lib/actions/call-audio-model';
|
||||
import {
|
||||
imageToTextModelPredictAction,
|
||||
visualClassifierModelPredictAction,
|
||||
} from './lib/actions/call-image-model';
|
||||
import { postInputsAction } from './lib/actions/call-post-inputs';
|
||||
import {
|
||||
textClassifierModelPredictAction,
|
||||
textToTextModelPredictAction,
|
||||
} from './lib/actions/call-text-model';
|
||||
import { workflowPredictAction } from './lib/actions/call-workflow';
|
||||
import { clarifaiGenerateIGM } from './lib/actions/generate-igm';
|
||||
|
||||
const markdownDescription = `
|
||||
Follow these instructions to get your Clarifai (Personal Access Token) PAT Key:
|
||||
1. Go to the [security tab](https://clarifai.com/settings/security) in your Clarifai account and generate a new PAT token.
|
||||
2. Copy the PAT token and paste it in the PAT Key field.
|
||||
`;
|
||||
export const clarifaiAuth = PieceAuth.SecretText({
|
||||
displayName: 'PAT Key',
|
||||
description: markdownDescription,
|
||||
required: true,
|
||||
validate: async ({ auth }) => {
|
||||
try {
|
||||
await httpClient.sendRequest({
|
||||
method: HttpMethod.GET,
|
||||
url: 'https://api.clarifai.com/v2/models',
|
||||
headers: {
|
||||
Authorization: 'Key ' + auth,
|
||||
},
|
||||
});
|
||||
return {
|
||||
valid: true,
|
||||
};
|
||||
} catch (e) {
|
||||
return {
|
||||
valid: false,
|
||||
error: `Invalid PAT token\nerror:\n${e}`,
|
||||
};
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
export const clarifai = createPiece({
|
||||
displayName: 'Clarifai',
|
||||
description: 'AI-powered visual recognition',
|
||||
minimumSupportedRelease: '0.30.0',
|
||||
logoUrl: 'https://cdn.activepieces.com/pieces/clarifai.png',
|
||||
categories: [PieceCategory.ARTIFICIAL_INTELLIGENCE],
|
||||
authors: ["akatechis","zeiler","Salem-Alaa","kishanprmr","MoShizzle","abuaboud"],
|
||||
auth: clarifaiAuth,
|
||||
actions: [
|
||||
clarifaiAskLLM,
|
||||
clarifaiGenerateIGM,
|
||||
visualClassifierModelPredictAction,
|
||||
textClassifierModelPredictAction,
|
||||
imageToTextModelPredictAction,
|
||||
textToTextModelPredictAction,
|
||||
audioToTextModelPredictAction,
|
||||
postInputsAction,
|
||||
workflowPredictAction,
|
||||
createCustomApiCallAction({
|
||||
baseUrl: () => 'https://api.clarifai.com/v2', // Replace with the actual base URL
|
||||
auth: clarifaiAuth,
|
||||
authMapping: async (auth) => ({
|
||||
Authorization: `Key ${auth.secret_text}`,
|
||||
}),
|
||||
}),
|
||||
],
|
||||
triggers: [],
|
||||
});
|
||||
@@ -0,0 +1,131 @@
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import { clarifaiAuth } from '../..';
|
||||
import {
|
||||
HttpMethod,
|
||||
HttpRequest,
|
||||
httpClient,
|
||||
} from '@activepieces/pieces-common';
|
||||
|
||||
export const clarifaiAskLLM = createAction({
|
||||
name: 'ask-llm',
|
||||
displayName: 'Ask LLM',
|
||||
description:
|
||||
'Send a prompt to any large language models (LLM) supported by clarifai.',
|
||||
auth: clarifaiAuth,
|
||||
props: {
|
||||
models: Property.Dropdown({
|
||||
auth: clarifaiAuth,
|
||||
displayName: 'Model Id',
|
||||
description: `The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)`,
|
||||
refreshers: ['auth'],
|
||||
required: true,
|
||||
options: async ({ auth }) => {
|
||||
if (!auth) {
|
||||
return {
|
||||
disabled: true,
|
||||
options: [],
|
||||
placeholder: 'Please add an PAT key',
|
||||
};
|
||||
}
|
||||
const request: HttpRequest = {
|
||||
method: HttpMethod.GET,
|
||||
url: 'https://api.clarifai.com/v2/models?sort_by_star_count=true&use_cases=llm&filter_by_user_id=true&additional_fields=stars&per_page=24&page=1',
|
||||
headers: {
|
||||
Authorization: ('Key ' + auth.secret_text) as string,
|
||||
},
|
||||
};
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
models: {
|
||||
id: string;
|
||||
name: string;
|
||||
}[];
|
||||
}>(request);
|
||||
|
||||
return {
|
||||
options: response.body.models.map((model) => {
|
||||
return {
|
||||
label: model.name,
|
||||
value: model.id,
|
||||
};
|
||||
}),
|
||||
disabled: false,
|
||||
};
|
||||
} catch (error) {
|
||||
return {
|
||||
options: [],
|
||||
disabled: true,
|
||||
placeholder: `Couldn't Load Models:\n${error}`,
|
||||
};
|
||||
}
|
||||
},
|
||||
defaultValue: 'GPT-4',
|
||||
}),
|
||||
prompt: Property.LongText({
|
||||
displayName: 'Prompt',
|
||||
description: 'The prompt to send to the model.',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(context) {
|
||||
const mId = context.propsValue.models as string;
|
||||
|
||||
const findModel: HttpRequest = {
|
||||
method: HttpMethod.GET,
|
||||
url: `https://api.clarifai.com/v2/models?name=${mId}&use_cases=llm`,
|
||||
headers: {
|
||||
Authorization: ('Key ' + context.auth.secret_text) as string,
|
||||
},
|
||||
};
|
||||
let model;
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
models: {
|
||||
id: string;
|
||||
name: string;
|
||||
model_version: {
|
||||
id: string;
|
||||
app_id: string;
|
||||
user_id: string;
|
||||
};
|
||||
}[];
|
||||
}>(findModel);
|
||||
model = response.body.models[0];
|
||||
} catch (error) {
|
||||
throw new Error(`Couldn't find model ${mId}\n${error}`);
|
||||
}
|
||||
const prompt = context.propsValue.prompt as string;
|
||||
const sendPrompt: HttpRequest = {
|
||||
method: HttpMethod.POST,
|
||||
url: `https://api.clarifai.com/v2/users/${model.model_version.user_id}/apps/${model.model_version.app_id}/models/${model.id}/versions/${model.model_version.id}/outputs`,
|
||||
headers: {
|
||||
Authorization: ('Key ' + context.auth.secret_text) as string,
|
||||
},
|
||||
body: {
|
||||
inputs: [
|
||||
{
|
||||
data: {
|
||||
text: {
|
||||
raw: prompt,
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
};
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
outputs: {
|
||||
data: {
|
||||
text: {
|
||||
raw: string;
|
||||
};
|
||||
};
|
||||
}[];
|
||||
}>(sendPrompt);
|
||||
return { result: response.body.outputs[0].data.text.raw };
|
||||
} catch (error) {
|
||||
throw new Error(`Couldn't send prompt to model ${mId}\n${error}`);
|
||||
}
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,37 @@
|
||||
import { clarifaiAuth } from '../../';
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import {
|
||||
CommonClarifaiProps,
|
||||
callClarifaiModel,
|
||||
cleanMultiOutputResponse,
|
||||
fileToInput,
|
||||
} from '../common';
|
||||
import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
|
||||
export const audioToTextModelPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'audio_text_model',
|
||||
description: 'Call a audio to text AI model',
|
||||
displayName: 'Audio to Text',
|
||||
props: {
|
||||
modelUrl: CommonClarifaiProps.modelUrl,
|
||||
file: Property.File({
|
||||
description: 'URL or base64 bytes of the audio to classify',
|
||||
displayName: 'Input URL or bytes',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { modelUrl, file } = ctx.propsValue;
|
||||
|
||||
const input = fileToInput(file);
|
||||
|
||||
const outputs = await callClarifaiModel({
|
||||
auth: auth.secret_text,
|
||||
modelUrl,
|
||||
input,
|
||||
});
|
||||
return cleanMultiOutputResponse(outputs);
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,65 @@
|
||||
import { clarifaiAuth } from '../../';
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import {
|
||||
CommonClarifaiProps,
|
||||
callClarifaiModel,
|
||||
cleanMultiOutputResponse,
|
||||
fileToInput,
|
||||
} from '../common';
|
||||
import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
|
||||
export const visualClassifierModelPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'visual_classifier_model',
|
||||
description: 'Call an visual classifier AI model to recognize concepts',
|
||||
displayName: 'Classify Images or Videos',
|
||||
props: {
|
||||
modelUrl: CommonClarifaiProps.modelUrl,
|
||||
file: Property.File({
|
||||
description: 'URL or base64 bytes of the image or video to classify',
|
||||
displayName: 'Input URL or bytes',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { modelUrl, file } = ctx.propsValue;
|
||||
|
||||
const input = fileToInput(file);
|
||||
|
||||
const outputs = await callClarifaiModel({
|
||||
auth: auth.secret_text,
|
||||
modelUrl,
|
||||
input,
|
||||
});
|
||||
return cleanMultiOutputResponse(outputs);
|
||||
},
|
||||
});
|
||||
|
||||
export const imageToTextModelPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'image_text_model',
|
||||
description: 'Call an image to text AI model',
|
||||
displayName: 'Image to Text',
|
||||
props: {
|
||||
modelUrl: CommonClarifaiProps.modelUrl,
|
||||
file: Property.File({
|
||||
description: 'URL or base64 bytes of the image to classify',
|
||||
displayName: 'Input URL or bytes',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { modelUrl, file } = ctx.propsValue;
|
||||
|
||||
const input = fileToInput(file);
|
||||
|
||||
const outputs = await callClarifaiModel({
|
||||
auth: auth.secret_text ,
|
||||
modelUrl,
|
||||
input,
|
||||
});
|
||||
return cleanMultiOutputResponse(outputs);
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,47 @@
|
||||
import { clarifaiAuth } from '../../';
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import {
|
||||
CommonClarifaiProps,
|
||||
callPostInputs,
|
||||
cleanMultiInputResponse,
|
||||
fileToInput,
|
||||
} from '../common';
|
||||
import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
|
||||
export const postInputsAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'post_inputs',
|
||||
description: 'Add inputs to your clarifai app',
|
||||
displayName: 'Add Inputs',
|
||||
props: {
|
||||
userId: Property.ShortText({
|
||||
description: 'User ID to associate with the input',
|
||||
displayName: 'User ID',
|
||||
required: true,
|
||||
}),
|
||||
appId: Property.ShortText({
|
||||
description: 'App ID (project) to associate with the input',
|
||||
displayName: 'App ID',
|
||||
required: true,
|
||||
}),
|
||||
file: Property.File({
|
||||
description: 'URL or base64 bytes of the audio to classify',
|
||||
displayName: 'Input URL or bytes',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { userId, appId, file } = ctx.propsValue;
|
||||
|
||||
const input = fileToInput(file);
|
||||
|
||||
const inputs = await callPostInputs({
|
||||
auth: auth.secret_text,
|
||||
userId,
|
||||
appId,
|
||||
input,
|
||||
});
|
||||
return cleanMultiInputResponse(inputs);
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,65 @@
|
||||
import { clarifaiAuth } from '../../';
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import {
|
||||
CommonClarifaiProps,
|
||||
callClarifaiModel,
|
||||
cleanMultiOutputResponse,
|
||||
textToInput,
|
||||
} from '../common';
|
||||
import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
|
||||
export const textClassifierModelPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'text_classifier_model',
|
||||
description: 'Call a text classifier AI model to recognize concepts',
|
||||
displayName: 'Classify Text',
|
||||
props: {
|
||||
modelUrl: CommonClarifaiProps.modelUrl,
|
||||
txt: Property.LongText({
|
||||
description: 'Text to classify',
|
||||
displayName: 'Input Text',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { modelUrl, txt } = ctx.propsValue;
|
||||
|
||||
const input = textToInput(txt);
|
||||
|
||||
const outputs = await callClarifaiModel({
|
||||
auth: auth.secret_text,
|
||||
modelUrl,
|
||||
input,
|
||||
});
|
||||
return cleanMultiOutputResponse(outputs);
|
||||
},
|
||||
});
|
||||
|
||||
export const textToTextModelPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'text_text_model',
|
||||
description: 'Call a text to text AI model',
|
||||
displayName: 'Text to Text',
|
||||
props: {
|
||||
modelUrl: CommonClarifaiProps.modelUrl,
|
||||
txt: Property.LongText({
|
||||
description: 'Text to classify',
|
||||
displayName: 'Input Text',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { modelUrl, txt } = ctx.propsValue;
|
||||
|
||||
const input = textToInput(txt);
|
||||
|
||||
const outputs = await callClarifaiModel({
|
||||
auth: auth.secret_text,
|
||||
modelUrl,
|
||||
input,
|
||||
});
|
||||
return cleanMultiOutputResponse(outputs);
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,38 @@
|
||||
import { clarifaiAuth } from '../../';
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import {
|
||||
CommonClarifaiProps,
|
||||
callClarifaiWorkflow,
|
||||
cleanPostWorkflowResultsResponse,
|
||||
fileToInput,
|
||||
} from '../common';
|
||||
import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
|
||||
export const workflowPredictAction = createAction({
|
||||
auth: clarifaiAuth,
|
||||
name: 'workflow_predict',
|
||||
description: 'Call a Clarifai workflow',
|
||||
displayName: 'Run Workflow',
|
||||
props: {
|
||||
workflowUrl: CommonClarifaiProps.workflowUrl,
|
||||
file: Property.File({
|
||||
description:
|
||||
'URL or base64 bytes of the incoming image/video/text/audio to run through the workflow. Note: must be appropriate first step of the workflow to handle that data type.',
|
||||
displayName: 'Input URL or bytes',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
async run(ctx) {
|
||||
const { auth } = ctx;
|
||||
const { workflowUrl, file } = ctx.propsValue;
|
||||
|
||||
const input = fileToInput(file);
|
||||
|
||||
const outputs = await callClarifaiWorkflow({
|
||||
auth: auth.secret_text,
|
||||
workflowUrl,
|
||||
input,
|
||||
});
|
||||
return cleanPostWorkflowResultsResponse(outputs);
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,147 @@
|
||||
import { Property, createAction } from '@activepieces/pieces-framework';
|
||||
import { clarifaiAuth } from '../..';
|
||||
import {
|
||||
HttpMethod,
|
||||
HttpRequest,
|
||||
httpClient,
|
||||
} from '@activepieces/pieces-common';
|
||||
|
||||
export const clarifaiGenerateIGM = createAction({
|
||||
name: 'generate-igm',
|
||||
displayName: 'Ask IGM',
|
||||
description:
|
||||
'Generate an image using the Image generating models supported by clarifai.',
|
||||
auth: clarifaiAuth,
|
||||
props: {
|
||||
models: Property.Dropdown({
|
||||
displayName: 'Model Id',
|
||||
description: `The model which will generate the response. If the model is not listed, get the model id from the clarifai website. Example : 'GPT-4' you can get the model id from here [https://clarifai.com/openai/chat-completion/models/GPT-4](https://clarifai.com/openai/chat-completion/models/GPT-4)`,
|
||||
refreshers: ['auth'],
|
||||
required: true,
|
||||
auth: clarifaiAuth,
|
||||
options: async ({ auth }) => {
|
||||
if (!auth) {
|
||||
return {
|
||||
disabled: true,
|
||||
options: [],
|
||||
placeholder: 'Please add an PAT key',
|
||||
};
|
||||
}
|
||||
const request: HttpRequest = {
|
||||
method: HttpMethod.GET,
|
||||
url: 'https://api.clarifai.com/v2/models?sort_by_star_count=true&model_type_id=text-to-image&filter_by_user_id=true&additional_fields=stars&per_page=24&page=1',
|
||||
headers: {
|
||||
Authorization: ('Key ' + auth.secret_text) as string,
|
||||
},
|
||||
};
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
models: {
|
||||
id: string;
|
||||
name: string;
|
||||
}[];
|
||||
}>(request);
|
||||
|
||||
return {
|
||||
options: response.body.models.map((model) => {
|
||||
return {
|
||||
label: model.name,
|
||||
value: model.id,
|
||||
};
|
||||
}),
|
||||
disabled: false,
|
||||
};
|
||||
} catch (error) {
|
||||
return {
|
||||
options: [],
|
||||
disabled: true,
|
||||
placeholder: `Couldn't Load Models:\n${error}`,
|
||||
};
|
||||
}
|
||||
},
|
||||
defaultValue: 'general-image-generator-dalle-mini',
|
||||
}),
|
||||
prompt: Property.LongText({
|
||||
displayName: 'Prompt',
|
||||
description: 'The prompt to send to the model.',
|
||||
required: true,
|
||||
}),
|
||||
},
|
||||
run: async (context) => {
|
||||
const mId = context.propsValue.models as string;
|
||||
|
||||
const findModel: HttpRequest = {
|
||||
method: HttpMethod.GET,
|
||||
url: `https://api.clarifai.com/v2/models?name=${mId}&model_type_id=text-to-image`,
|
||||
headers: {
|
||||
Authorization: ('Key ' + context.auth.secret_text) as string,
|
||||
},
|
||||
};
|
||||
let model;
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
models: {
|
||||
id: string;
|
||||
name: string;
|
||||
model_version: {
|
||||
id: string;
|
||||
app_id: string;
|
||||
user_id: string;
|
||||
};
|
||||
}[];
|
||||
}>(findModel);
|
||||
model = response.body.models[0];
|
||||
} catch (error) {
|
||||
throw new Error(`Couldn't find model ${mId}\n${error}`);
|
||||
}
|
||||
const prompt = context.propsValue.prompt as string;
|
||||
const sendPrompt: HttpRequest = {
|
||||
method: HttpMethod.POST,
|
||||
url: `https://api.clarifai.com/v2/users/${model.model_version.user_id}/apps/${model.model_version.app_id}/models/${model.id}/versions/${model.model_version.id}/outputs`,
|
||||
headers: {
|
||||
Authorization: ('Key ' + context.auth.secret_text ) as string,
|
||||
},
|
||||
body: {
|
||||
inputs: [
|
||||
{
|
||||
data: {
|
||||
text: {
|
||||
raw: prompt,
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
};
|
||||
|
||||
try {
|
||||
const response = await httpClient.sendRequest<{
|
||||
outputs: {
|
||||
id: string;
|
||||
data: {
|
||||
image: {
|
||||
base64: string;
|
||||
image_info: {
|
||||
format: string;
|
||||
};
|
||||
};
|
||||
};
|
||||
}[];
|
||||
}>(sendPrompt);
|
||||
return {
|
||||
result: await context.files.write({
|
||||
fileName:
|
||||
response.body.outputs[0].id +
|
||||
'.' +
|
||||
response.body.outputs[0].data.image.image_info.format,
|
||||
data: Buffer.from(
|
||||
response.body.outputs[0].data.image.base64,
|
||||
'base64'
|
||||
),
|
||||
}),
|
||||
};
|
||||
} catch (error) {
|
||||
throw new Error(`Couldn't send prompt to model ${mId}\n${error}`);
|
||||
}
|
||||
},
|
||||
});
|
||||
@@ -0,0 +1,435 @@
|
||||
import { Property, ApFile } from '@activepieces/pieces-framework';
|
||||
import { grpc } from 'clarifai-nodejs-grpc';
|
||||
import {
|
||||
Model,
|
||||
Data,
|
||||
Input,
|
||||
UserAppIDSet,
|
||||
Image,
|
||||
Video,
|
||||
Audio,
|
||||
Text,
|
||||
} from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb';
|
||||
import { V2Client } from 'clarifai-nodejs-grpc/proto/clarifai/api/service_grpc_pb';
|
||||
import {
|
||||
MultiOutputResponse,
|
||||
PostModelOutputsRequest,
|
||||
MultiInputResponse,
|
||||
PostInputsRequest,
|
||||
PostWorkflowResultsResponse,
|
||||
PostWorkflowResultsRequest,
|
||||
} from 'clarifai-nodejs-grpc/proto/clarifai/api/service_pb';
|
||||
import { promisify } from 'util';
|
||||
|
||||
function initClarifaiClient() {
|
||||
const clarifai = new V2Client(
|
||||
'api.clarifai.com',
|
||||
grpc.ChannelCredentials.createSsl()
|
||||
);
|
||||
return clarifai;
|
||||
}
|
||||
|
||||
export const clarifaiClient = initClarifaiClient();
|
||||
|
||||
export interface CallModelRequest {
|
||||
auth: string;
|
||||
modelUrl: string;
|
||||
input: Input;
|
||||
}
|
||||
|
||||
export interface CallWorkflowRequest {
|
||||
auth: string;
|
||||
workflowUrl: string;
|
||||
input: Input;
|
||||
}
|
||||
|
||||
export interface CallPostInputsRequest {
|
||||
auth: string;
|
||||
userId: string;
|
||||
appId: string;
|
||||
input: Input;
|
||||
}
|
||||
|
||||
export function callClarifaiModel({ auth, modelUrl, input }: CallModelRequest) {
|
||||
const [userId, appId, modelId, versionId] = parseEntityUrl(modelUrl);
|
||||
|
||||
const req = new PostModelOutputsRequest();
|
||||
req.setUserAppId(userAppIdSet(userId, appId));
|
||||
req.setModelId(modelId);
|
||||
if (versionId) {
|
||||
req.setVersionId(versionId);
|
||||
}
|
||||
req.setInputsList([input]);
|
||||
|
||||
const metadata = authMetadata(auth);
|
||||
// TODO: we should really be using the async version of this, circle back with clarifai team to see if we can
|
||||
// tweak the protoc settings to build a promise-compatible version of our API client.
|
||||
const postModelOutputs = promisify<
|
||||
PostModelOutputsRequest,
|
||||
grpc.Metadata,
|
||||
MultiOutputResponse
|
||||
>(clarifaiClient.postModelOutputs.bind(clarifaiClient));
|
||||
return postModelOutputs(req, metadata);
|
||||
}
|
||||
|
||||
export function callClarifaiWorkflow({
|
||||
auth,
|
||||
workflowUrl,
|
||||
input,
|
||||
}: CallWorkflowRequest) {
|
||||
const [userId, appId, workflowId, versionId] = parseEntityUrl(workflowUrl);
|
||||
|
||||
const req = new PostWorkflowResultsRequest();
|
||||
req.setUserAppId(userAppIdSet(userId, appId));
|
||||
req.setWorkflowId(workflowId);
|
||||
if (versionId) {
|
||||
req.setVersionId(versionId);
|
||||
}
|
||||
req.setInputsList([input]);
|
||||
|
||||
const metadata = authMetadata(auth);
|
||||
// TODO: we should really be using the async version of this, circle back with clarifai team to see if we can
|
||||
// tweak the protoc settings to build a promise-compatible version of our API client.
|
||||
const postWorkflowResults = promisify<
|
||||
PostWorkflowResultsRequest,
|
||||
grpc.Metadata,
|
||||
PostWorkflowResultsResponse
|
||||
>(clarifaiClient.postWorkflowResults.bind(clarifaiClient));
|
||||
return postWorkflowResults(req, metadata);
|
||||
}
|
||||
|
||||
export function callPostInputs({
|
||||
auth,
|
||||
userId,
|
||||
appId,
|
||||
input,
|
||||
}: CallPostInputsRequest) {
|
||||
const req = new PostInputsRequest();
|
||||
req.setUserAppId(userAppIdSet(userId, appId));
|
||||
req.setInputsList([input]);
|
||||
|
||||
const metadata = authMetadata(auth);
|
||||
// TODO: we should really be using the async version of this, circle back with clarifai team to see if we can
|
||||
// tweak the protoc settings to build a promise-compatible version of our API client.
|
||||
const postInputs = promisify<
|
||||
PostInputsRequest,
|
||||
grpc.Metadata,
|
||||
MultiInputResponse
|
||||
>(clarifaiClient.postInputs.bind(clarifaiClient));
|
||||
return postInputs(req, metadata);
|
||||
}
|
||||
|
||||
export function fileToInput(file: ApFile) {
|
||||
const input = new Input();
|
||||
const inputData = new Data();
|
||||
|
||||
const base64 = file.base64;
|
||||
const mimeType = detectMimeType(base64, file.filename);
|
||||
if (mimeType.startsWith('image')) {
|
||||
const dataImage = new Image();
|
||||
dataImage.setBase64(base64);
|
||||
inputData.setImage(dataImage);
|
||||
} else if (mimeType.startsWith('video')) {
|
||||
const dataVideo = new Video();
|
||||
dataVideo.setBase64(base64);
|
||||
inputData.setVideo(dataVideo);
|
||||
} else if (mimeType.startsWith('audio')) {
|
||||
const dataAudio = new Audio();
|
||||
dataAudio.setBase64(base64);
|
||||
inputData.setAudio(dataAudio);
|
||||
} else {
|
||||
// sending the rest of text may not always work, but it's worth a shot
|
||||
const dataText = new Text();
|
||||
dataText.setRaw(base64);
|
||||
inputData.setText(dataText);
|
||||
}
|
||||
input.setData(inputData);
|
||||
return input;
|
||||
}
|
||||
|
||||
export function textToInput(text: string) {
|
||||
const input = new Input();
|
||||
const inputData = new Data();
|
||||
const dataText = new Text();
|
||||
dataText.setRaw(text);
|
||||
inputData.setText(dataText);
|
||||
input.setData(inputData);
|
||||
return input;
|
||||
}
|
||||
|
||||
function userAppIdSet(userId: string, appId: string) {
|
||||
const set = new UserAppIDSet();
|
||||
set.setUserId(userId);
|
||||
set.setAppId(appId);
|
||||
return set;
|
||||
}
|
||||
|
||||
function authMetadata(auth: string) {
|
||||
const metadata = new grpc.Metadata();
|
||||
metadata.set('authorization', 'Key ' + auth);
|
||||
return metadata;
|
||||
}
|
||||
|
||||
export const CommonClarifaiProps = {
|
||||
modelUrl: Property.ShortText({
|
||||
description:
|
||||
'URL of the Clarifai model. For example https://clarifai.com/clarifai/main/models/general-image-recognition OR a specific version such as https://clarifai.com/clarifai/main/models/general-image-recognition/versions/aa7f35c01e0642fda5cf400f543e7c40. Find more models at https://clarifai.com/explore/models',
|
||||
displayName: 'Model URL',
|
||||
required: true,
|
||||
}),
|
||||
workflowUrl: Property.ShortText({
|
||||
description:
|
||||
'URL of the Clarifai workflow. For example https://clarifai.com/clarifai/main/workflows/Demographics. Find more workflows at https://clarifai.com/explore/workflows',
|
||||
displayName: 'Workflow URL',
|
||||
required: true,
|
||||
}),
|
||||
};
|
||||
|
||||
function parseEntityUrl(entityUrl: string): [string, string, string, string] {
|
||||
const url = new URL(entityUrl);
|
||||
const parts = url.pathname.split('/');
|
||||
let version = '';
|
||||
if (parts.length === 7 && parts[5] === 'versions') {
|
||||
version = parts[6];
|
||||
}
|
||||
return [parts[1], parts[2], parts[4], version];
|
||||
}
|
||||
|
||||
export function removeListFromPropertyNames(
|
||||
obj: Record<string, unknown>
|
||||
): Record<string, unknown> {
|
||||
const result: Record<string, unknown> = {};
|
||||
for (const [key, value] of Object.entries(obj)) {
|
||||
if (key.endsWith('List') && Array.isArray(value)) {
|
||||
if (value.length === 0) {
|
||||
// remove empty lists by default
|
||||
continue;
|
||||
}
|
||||
// remove 'List' and recurse on every item in the array
|
||||
result[key.slice(0, -4)] = value.map((item) => {
|
||||
// if the item is an object, recurse on it
|
||||
if (Object.prototype.toString.call(item) === '[object Object]') {
|
||||
return removeListFromPropertyNames(item);
|
||||
}
|
||||
// otherwise, return the item as-is
|
||||
return item;
|
||||
});
|
||||
} else {
|
||||
// if the item is an object, recurse on it
|
||||
if (Object.prototype.toString.call(value) === '[object Object]') {
|
||||
result[key] = removeListFromPropertyNames(
|
||||
value as Record<string, unknown>
|
||||
);
|
||||
} else {
|
||||
result[key] = value;
|
||||
}
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the data type based on the base64 string and filename extension
|
||||
* https://www.iana.org/assignments/media-types/media-types.xhtml for full list of mime types.
|
||||
* @param {String} base64String
|
||||
* @param {String} fileName
|
||||
* @returns {String}
|
||||
*/
|
||||
function detectMimeType(base64String: string, fileName: string | undefined) {
|
||||
let ext = 'undefined';
|
||||
if (fileName === undefined || fileName === null || fileName === '') {
|
||||
ext = 'bin';
|
||||
} else {
|
||||
ext = fileName.substring(fileName.lastIndexOf('.') + 1);
|
||||
if (ext === undefined || ext === null || ext === '') ext = 'bin';
|
||||
}
|
||||
ext = ext.toLowerCase();
|
||||
// This is not an exhaustive list by any stretch.
|
||||
const signatures = {
|
||||
JVBERi0: 'application/pdf',
|
||||
R0lGODdh: 'image/gif',
|
||||
R0lGODlh: 'image/gif',
|
||||
iVBORw0KGgo: 'image/png',
|
||||
TU0AK: 'image/tiff',
|
||||
'/9j/': 'image/jpg',
|
||||
UEs: 'application/vnd.openxmlformats-officedocument.',
|
||||
PK: 'application/zip',
|
||||
};
|
||||
for (const [key, value] of Object.entries(signatures)) {
|
||||
let modiifedValue = value;
|
||||
if (base64String.indexOf(key) === 0) {
|
||||
// var x = signatures[s];
|
||||
// if an office file format
|
||||
if (ext.length > 3 && ext.substring(0, 3) === 'ppt') {
|
||||
modiifedValue += 'presentationml.presentation';
|
||||
} else if (ext.length > 3 && ext.substring(0, 3) === 'xls') {
|
||||
modiifedValue += 'spreadsheetml.sheet';
|
||||
} else if (ext.length > 3 && ext.substring(0, 3) === 'doc') {
|
||||
modiifedValue += 'wordprocessingml.document';
|
||||
}
|
||||
// return
|
||||
return modiifedValue;
|
||||
}
|
||||
}
|
||||
// if we are here we can only go off the extensions
|
||||
const extensions = {
|
||||
'7z': 'application/x-7z-compressed',
|
||||
aif: 'audio/x-aiff',
|
||||
aiff: 'audio/x-aiff',
|
||||
asf: 'video/x-ms-asf',
|
||||
asx: 'video/x-ms-asf',
|
||||
avi: 'video/x-msvideo',
|
||||
bin: 'application/octet-stream',
|
||||
bmp: 'image/bmp',
|
||||
class: 'application/octet-stream',
|
||||
css: 'text/css',
|
||||
csv: 'text/csv',
|
||||
dll: 'application/octet-stream',
|
||||
doc: 'application/msword',
|
||||
docx: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
|
||||
dwg: 'application/acad',
|
||||
dxf: 'application/dxf',
|
||||
eml: 'message/rfc822',
|
||||
exe: 'application/octet-stream',
|
||||
flv: 'video/x-flv',
|
||||
gif: 'image/gif',
|
||||
gz: 'application/x-gzip',
|
||||
gzip: 'application/x-gzip',
|
||||
htm: 'text/html',
|
||||
html: 'text/html',
|
||||
ice: 'x-conference/x-cooltalk',
|
||||
ico: 'image/x-icon',
|
||||
ics: 'text/calendar',
|
||||
iges: 'model/iges',
|
||||
igs: 'model/iges',
|
||||
jpeg: 'image/jpeg',
|
||||
jpg: 'image/jpeg',
|
||||
js: 'application/javascript',
|
||||
json: 'application/json',
|
||||
m2a: 'audio/mpeg',
|
||||
m2v: 'video/mpeg',
|
||||
m3u: 'audio/x-mpegurl',
|
||||
m4v: 'video/mpeg',
|
||||
mesh: 'model/mesh',
|
||||
mov: 'video/quicktime',
|
||||
movie: 'video/x-sgi-movie',
|
||||
mp2: 'audio/mpeg',
|
||||
mp2a: 'audio/mpeg',
|
||||
mp3: 'audio/mpeg',
|
||||
mp4: 'video/mp4',
|
||||
mpe: 'video/mpeg',
|
||||
mpeg: 'video/mpeg',
|
||||
mpg: 'video/mpeg',
|
||||
mpga: 'audio/mpeg',
|
||||
mpv: 'video/mpeg',
|
||||
msg: 'application/vnd.ms-outlook',
|
||||
msh: 'model/mesh',
|
||||
mxf: 'application/mxf',
|
||||
obj: 'application/octet-stream',
|
||||
oda: 'application/oda',
|
||||
ogg: 'application/ogg',
|
||||
ogv: 'video/ogg',
|
||||
ogx: 'application/ogg',
|
||||
pdb: 'chemical/x-pdb',
|
||||
pdf: 'application/pdf',
|
||||
png: 'image/png',
|
||||
ppt: 'application/vnd.ms-powerpoint',
|
||||
psd: 'application/octet-stream',
|
||||
qt: 'video/quicktime',
|
||||
ra: 'audio/x-realaudio',
|
||||
ram: 'audio/x-pn-realaudio',
|
||||
rgb: 'image/x-rgb',
|
||||
rm: 'audio/x-pn-realaudio',
|
||||
rpm: 'audio/x-pn-realaudio-plugin',
|
||||
rtf: 'application/rtf',
|
||||
sea: 'application/octet-stream',
|
||||
silo: 'model/mesh',
|
||||
so: 'application/octet-stream',
|
||||
svg: 'image/svg+xml',
|
||||
tar: 'application/x-tar',
|
||||
tif: 'image/tiff',
|
||||
tiff: 'image/tiff',
|
||||
txt: 'text/plain',
|
||||
vrml: 'model/vrml',
|
||||
wav: 'audio/x-wav',
|
||||
wax: 'audio/x-ms-wax',
|
||||
webp: 'image/webp',
|
||||
wma: 'audio/x-ms-wma',
|
||||
wmv: 'video/x-ms-wmv',
|
||||
wrl: 'model/vrml',
|
||||
xls: 'application/vnd.ms-excel',
|
||||
xml: 'text/xml',
|
||||
xyz: 'chemical/x-pdb',
|
||||
zip: 'application/zip',
|
||||
};
|
||||
for (const [key, value] of Object.entries(extensions)) {
|
||||
if (ext.indexOf(key) === 0) {
|
||||
return value;
|
||||
}
|
||||
}
|
||||
// if we are here - not sure what type this is
|
||||
return 'unknown';
|
||||
}
|
||||
|
||||
export function cleanMultiOutputResponse(outputs: MultiOutputResponse) {
|
||||
if (outputs.getOutputsList().length === 0) {
|
||||
throw new Error('No outputs found from Clarifai');
|
||||
}
|
||||
const data = outputs.getOutputsList()[0].getData();
|
||||
if (data == undefined) {
|
||||
throw new Error('No data found from Clarifai');
|
||||
} else {
|
||||
const result = Data.toObject(false, data);
|
||||
return removeListFromPropertyNames(result);
|
||||
}
|
||||
}
|
||||
|
||||
export function cleanMultiInputResponse(inputs: MultiInputResponse) {
|
||||
if (inputs.getInputsList().length === 0) {
|
||||
throw new Error('No inputs found from Clarifai');
|
||||
}
|
||||
const data = inputs.getInputsList()[0].getData();
|
||||
if (data == undefined) {
|
||||
throw new Error('No data found from Clarifai');
|
||||
} else {
|
||||
const result = Data.toObject(false, data);
|
||||
return removeListFromPropertyNames(result);
|
||||
}
|
||||
}
|
||||
|
||||
export function cleanPostWorkflowResultsResponse(
|
||||
response: PostWorkflowResultsResponse
|
||||
) {
|
||||
if (response.getResultsList().length === 0) {
|
||||
throw new Error('No results found from Clarifai');
|
||||
}
|
||||
// one result per input in the workflow.
|
||||
const results = response.getResultsList();
|
||||
if (results == undefined || results.length === 0) {
|
||||
throw new Error('No results found from Clarifai');
|
||||
} else {
|
||||
const result = results[0];
|
||||
const outputs = result.getOutputsList();
|
||||
if (outputs == undefined || outputs.length === 0) {
|
||||
throw new Error('No outputs found from Clarifai');
|
||||
}
|
||||
const array: any[] = [];
|
||||
for (const output of outputs) {
|
||||
const model = output.getModel();
|
||||
if (model == undefined) {
|
||||
throw new Error('No model found from Clarifai');
|
||||
}
|
||||
const m = Model.toObject(false, model);
|
||||
const data = output.getData();
|
||||
let out: any = { output: 'suppressed' };
|
||||
if (data != undefined) {
|
||||
out = Data.toObject(false, data);
|
||||
}
|
||||
array.push({
|
||||
model: removeListFromPropertyNames(m),
|
||||
data: removeListFromPropertyNames(out),
|
||||
});
|
||||
}
|
||||
return array;
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user