Project Media QA

Project Media QA allows you to ask questions about any uploaded/recorded audio, youtube videos powered by Groq's whisper for speech to text transcription API and Groq's LLM API.

Prerequisites

Before running the project, ensure you have the following:

• Python 3.10 (the project has been tested with this version)
• Groq API key

Setup

1. Set up your Groq API key as an environment variable:

   export GROQ_API_KEY=<YOUR_API_KEY>

   Replace <YOUR_API_KEY> with your actual Groq API key.

2. Create a virtual environment:

   virtualenv -p python3 venv

3. Activate the virtual environment:

   source venv/bin/activate

4. Install the required dependencies:

   pip install -r requirements.txt

Running the Application

To run the application locally, use the following command:

streamlit run app.py --server.port 8080 --server.address 0.0.0.0

This command starts the Streamlit application and makes it accessible at http://localhost:8080.

Usage

1. Launch the application by accessing http://localhost:8080 in your web browser.

Contributing

If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Make your changes and commit them with descriptive commit messages.

4. Push your changes to your forked repository.

5. Submit a pull request to the main repository, explaining your changes and their benefits.

License

This project is licensed under the MIT License.

Contact

If you have any questions or suggestions regarding this project, please feel free to contact the project maintainer at skapadia@groq.com.