This project consists of three main components: audio_agent.py, image_agent.py, and orchestrator.py. Each component has its own specific functionality and dependencies.
The project dependencies are listed in the requirements.txt file. To install them, run:
pip install -r requirements.txtFile: audio_agent.py
- pydub: For audio processing
- requests: For making HTTP requests
- json: For JSON manipulation
- os: For operating system interactions
- base64: For encoding and decoding
- requests.adapters.HTTPAdapter and urllib3.util.retry.Retry: For HTTP request retries
The audio_agent.py script uses Eleven Labs for audio generation. It processes audio files, makes HTTP requests to the Eleven Labs API, and handles retries for robust communication.
File: image_agent.py
- autogen: For automation
- diffusers.StableDiffusionPipeline: For image generation
- torch: For deep learning operations
- os: For operating system interactions
- json: For JSON manipulation
- subprocess: For running subprocesses
The image_agent.py script uses the "CompVis/stable-diffusion-v1-4" model for image generation. It leverages the Stable Diffusion Pipeline to create images based on given prompts.
File: orchestrator.py
- json: For JSON manipulation
- os: For operating system interactions
- groq: For Groq operations
- subprocess: For running subprocesses
- autogen: For automation
The orchestrator.py script uses the "llama-3.2-90b-vision-preview" model to analyze children's stories. It follows a specific prompt to extract:
- Major characters
- Scenes
- Character dialogues
- Background scenery
- Install Dependencies
Ensure all required dependencies are installed by running:pip install -r requirements.txt
This project is licensed under the MIT License.