Sangeet Guru is a music generation app that allows users to create custom audio tracks based on their input style descriptions. It combines the power of FastAPI for backend processing and Streamlit for a user-friendly frontend interface.
- Interactive Interface: Input a music style description and generate a custom audio track.
- Example Prompts: Provides example music styles for quick experimentation.
- Clean Design: Features a minimalistic logo and a simple layout for easy use.
To get started with Sangeet Guru, follow these steps:
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Clone the Repository
git clone https://github.com/yourusername/sangeet-guru.git cd sangeet-guru -
Set Up the Environment
Create a virtual environment and install the required packages:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` pip install -r requirements.txt
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Run the Application
You can run the FastAPI server or the Streamlit app.
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To start the FastAPI server:
uvicorn main:app --reload
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To start the Streamlit app:
streamlit run main.py
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Streamlit Interface: Open the Streamlit app in your browser. Enter a music style description in the text input box and click "Generate" to create a custom audio track. You can also select from example prompts to see different styles in action.
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FastAPI Endpoint: You can use the FastAPI endpoint to programmatically generate audio tracks by sending a POST request to
/generate-audio/with a JSON body containing the music style description.
- "80s pop track with bassy drums and synth"
- "Earthy tones, environmentally conscious, ukulele-infused"
- "90s rock song with loud guitars and heavy drums"
- "Heartful EDM with beautiful synths and chords"
- "Classical Indian raga with sitar and tabla"
- Python 3.8 or higher
- FastAPI
- Streamlit
- Uvicorn
- Pydantic
- Other dependencies listed in
requirements.txt
Contributions are welcome! Please open an issue or submit a pull request with any improvements or bug fixes.
Made with ❤️ by Tabrez and openvino