AGI Pipeline

Overview

A comprehensive AGI pipeline integrating NLP, Computer Vision, and Speech Processing using pre-trained models.

Features

• Text generation with T5
• Object detection with YOLO
• Speech-to-text with Whisper
• Text-to-speech with Pyttsx3

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/agi-pipeline.git

2. Navigate to the project directory:

   cd agi-pipeline

3. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

4. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the FastAPI application:

   uvicorn main:app --reload

2. Access the API at http://127.0.0.1:8000.

Using Docker

1. Build the Docker image:

   docker build -t agi-pipeline:1.0.1 .

2. Run the Docker container:

   docker run -p 8000:8000 agi-pipeline:1.0.1

Contributing

Feel free to open issues or submit pull requests!

License

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