AutoGen + Ollama Integration - Is it 100% Free and 100% Private?

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AI Summary

Summary: OpenAI Compatibility with Olama

• Introduction
  • OpenAI compatibility with Olama allows for private, local data integration.
  • Users can create charts and have AI agents perform tasks.
  • Integration with Python or JavaScript applications is possible.
  • The tutorial includes creating a user interface with Gradio.
• Setup Instructions
  • Download Olama for the appropriate operating system.
  • Use Conda to create and activate a new Python environment.
  • Install pi-autogen using pip.
  • Run Olama with the desired language model.
• Code Integration
  • Create app.py and import necessary modules.
  • Define configuration for Code Llama 7B Instruct model.
  • Create Assistant Agent and User Proxy Agent.
  • Initiate chat between agents to perform tasks like plotting stock prices.
• Running the Code
  • Execute the code in the terminal.
  • Interact with the AI to generate and refine results.
  • Save the output chart to a file.
  • Note: May need to retry with certain models or delete cache for repeated attempts.
• Adding a User Interface with Gradio
  • Install Gradio using pip.
  • Modify code to include Gradio interface.
  • Run the interface and navigate to the provided URL.
  • Interact with the interface to get stock prices or other information.
• Conclusion
  • The tutorial demonstrates the integration of Olama, Autogen, and Gradio.
  • Encourages subscribing and liking the video for more content.

Additional Notes

• The video creator emphasizes the privacy aspect of running the large language model locally.
• Some trial and error may be required when using certain models.
• The creator plans to produce more videos on similar topics.