AutoGen AI Agency Service in 20 MINUTES

---

---

AI Summary

Project Summary: Creating a YouTube AI Service

Setup

• Goal: Build an AI service to generate YouTube scripts and descriptions.
• Tools: Gradio for UI, Python, PyCharm Community Edition (IDE).
• Libraries: pip install pyautogen gradio.

Configuration (config.py)

• Imports: os, env.
• Environment Variables: Load .env file for API keys and model.
• Configuration: Create config_list and llm_config with model and API key.

Agents (agents.py)

• Imports: autogen, config.
• Script Maker: Assistant agent for script creation.
• Description Maker: Assistant agent for description creation.
• User Proxy: User agent to interact without intervention.

Execution

• Docker: Set autogen use Docker to false if not using Docker.
• Group Chat: Create with user proxy, script maker, and description maker.
• Group Chat Manager: Manages the chat and configuration.

Environment File (.env)

• Contents: OpenAI API key and model (e.g., GPT-4).

Main Script (main.py)

• Initiation: Start chat with hardcoded message.
• UI Integration: Use Gradio to create a UI with inputs for script parameters.
• Function: createYouTubeInfo to initiate chat and return script and description.
• Execution: Run main.py to start the service and UI.

UI Components

• Inputs: Dropdowns, radio buttons, slider for script parameters.
• Outputs: Text boxes for script and description.
• Interface: Gradio interface with function, inputs, and outputs.

Testing and Usage

• Local URL: Access UI through a local URL.
• Dynamic Choices: Make selections and submit to generate script and description.

Enhancements

• Suggestions: Add more features like post creation.
• Feedback: Encouraged to improve and share results.

Conclusion

• Result: Functional YouTube AI service with a prototype UI.
• Gradio: Simplifies UI creation for prototyping.