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You can also check this cookbook in colab here
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This notebook demonstrates how to set up and leverage CAMEL’s ability to do video analysis. In this notebook, you’ll explore:
  • CAMEL: A powerful multi-agent framework that enables Retrieval-Augmented Generation and multi-agent role-playing scenarios, allowing for sophisticated AI-driven tasks.
  • Video Analysis: How to use CAMEL to read and generate descriptions of uploaded videos.

📦 Installation

🔑 Setting Up API Keys

Alternatively, if running on Colab, you could save your API keys and tokens as Colab Secrets, and use them across notebooks. To do so, comment out the above manual API key prompt code block(s), and uncomment the following codeblock. ⚠️ Don’t forget granting access to the API key you would be using to the current notebook.

Set up an agent for video analysis task

Providing video and set user message

🌟 Highlights

This notebook has guided you through setting up an agent and analyzing videos using CAMEL. Now, you know how to generate description for uploaded videos. That’s everything: Got questions about 🐫 CAMEL-AI? Join us on Discord! Whether you want to share feedback, explore the latest in multi-agent systems, get support, or connect with others on exciting projects, we’d love to have you in the community! 🤝 Check out some of our other work:
  1. 🐫 Creating Your First CAMEL Agent free Colab
  2. Graph RAG Cookbook free Colab
  3. 🧑‍⚖️ Create A Hackathon Judge Committee with Workforce free Colab
  4. 🔥 3 ways to ingest data from websites with Firecrawl & CAMEL free Colab
  5. 🦥 Agentic SFT Data Generation with CAMEL and Mistral Models, Fine-Tuned with Unsloth free Colab
Thanks from everyone at 🐫 CAMEL-AI
CAMEL HomepageJoin Discord
Star us on GitHub, join our Discord, or follow us on X