Explanatory Video Generator

Overview

This project is a tool that automatically generates explanatory videos from a given prompt. It leverages the following technologies:

• Pydantic AI: Used to create intelligent agents that process the prompt and generate the video script.
• Gemini: The LLM that powers the agent, understanding the prompt and generating creative content.
• Manim: A powerful animation engine for creating mathematical and explanatory videos.
• MoviePy: A library for video editing, used here to combine the Manim-generated scenes into a final video.

In essence, you provide a prompt, and the system uses AI to create a video explaining the topic described in the prompt.

Features

• Automatic video generation from a text prompt.
• Uses Gemini for prompt understanding and content creation.
• Leverages Manim for high-quality animations.
• Combines animations into a complete video using MoviePy.

Setup Instructions

Here's how to get the video generator up and running:

1. Clone the Repository:

   git clone <your_repository_url>
   cd <your_repository_directory>

   (Replace <your_repository_url> and <your_repository_directory> with the actual URL and directory.)

2. Configure the API Key:

   • Create a copy of the config-example.py file and rename it to config.py.

   • Open config.py and add your Gemini API key:

     api_key='<google-gemini-api-key>'"  # Replace with your actual Gemini API key

3. Install Dependencies:

   • It's highly recommended to use a virtual environment to manage dependencies. If you're not familiar with them, here's a quick primer:

     python3 -m venv .venv #create a virtual environment
     source .venv/bin/activate #activate the virtual environment.  If on windows use .\.venv\Scripts\activate

   • Install the required Python packages:

     pip install -r requirements.txt

4. Run the Application:

   streamlit run app.py
   or
   python app_no_ui.py

Usage

1. Run the app.py/app_no_ui.py script as described in the setup instructions.
2. The application will take a text prompt as input. (in streamlit/cmd line)
3. The AI will process the prompt, generate a video script, and then create the video.
4. The generated video will be saved to a final.mp4 file.