README

Overview

This project is designed to automate the creation of quote videos based on a provided prompt. The agent leverages various services to generate and compile video content efficiently and effectively.

Features

• Automated Video Generation: Create quote videos seamlessly from textual prompts.
• Customizable API Calls: Utilize the HttpClient class for flexible API interactions.
• Modular Design: Organized codebase for easy maintenance and scalability.

Project Structure

• app/
  • Contains the main application logic.
  • services/
    • Includes modules for API calls, LLM integration, and prompt handling.
• data/
  • Placeholder for data storage.

Getting Started

1. Clone the repository:

   git clone <repository-url>

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Copy example.env to .env and update the values as needed.

4. Run the application:

   python app/main.py

Running the Application in VS Code or Other IDEs

Using VS Code

1. Open the project in VS Code.
2. Ensure you have the Python extension installed.
3. Configure the debugger:
   • Open the .vscode/launch.json file.
   • Use the provided configuration for running the application with uvicorn.
4. Start debugging:
   • Press F5 or go to the Run and Debug panel and select "Python Debugger: FastAPI".

Using Other IDEs

1. Open the project in your preferred IDE.
2. Ensure the IDE supports Python and has uvicorn installed.
3. Run the application using the following command:

   uvicorn app.main:app --reload --host 0.0.0.0 --port 8000 --log-level info

4. Access the application at http://127.0.0.1:8000 in your browser.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request for any enhancements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.