GROQ LLAVA V1.5 7B: Image Description with Telegram
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Describe images using the GROQ LLAVA V1.5 7B model via Telegram.
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About This Workflow
Overview
This workflow allows users to send an image via Telegram and receive a detailed description generated by the GROQ LLAVA V1.5 7B model. It leverages Telegram for input and output, converts the image to base64, sends it to the GROQ API for processing, and then returns the description to the user via Telegram.
Key Features
- Receive images via Telegram.
- Convert images to base64 format.
- Interact with the GROQ LLAVA V1.5 7B model for image description.
- Send the generated description back to the user via Telegram.
How To Use
- Set up a Telegram bot using BotFather to obtain an API token.
- Configure the
Telegram Triggernode with your bot's API token. - Set environment variables for
API_BASE_URLandWEBHOOK_URL. - Replace
YOUR_API_TOKENin theHTTP Request GROQ LLAVAnode with your actual GROQ API token. - Send an image to your Telegram bot.
- The workflow will process the image and send the description back to you.
Apps Used
Workflow JSON
{
"id": "2ef8e845-8a52-4c17-9695-717f3cd6d033",
"name": "GROQ LLAVA V1.5 7B: Image Description with Telegram",
"nodes": 0,
"category": "AI/ML Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 2ef8e845-8a52...
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