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Initial commit: JamboGPT African Language AI

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  1. .gitignore +67 -0
  2. README.md +137 -0
  3. app.py +245 -0
  4. requirements.txt +9 -0
.gitignore ADDED
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+ # Virtual environment
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+ venv/
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+ env/
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+ ENV/
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+
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+ # Python
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+ __pycache__/
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+ *.py[cod]
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+ *$py.class
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+ *.so
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+ .Python
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+ build/
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+ develop-eggs/
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+ dist/
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+ downloads/
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+ eggs/
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+ .eggs/
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+ lib/
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+ lib64/
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+ parts/
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+ sdist/
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+ var/
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+ wheels/
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+ *.egg-info/
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+ .installed.cfg
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+ *.egg
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+
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+ # IDE
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+ .vscode/
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+ .idea/
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+ *.swp
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+ *.swo
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+ *~
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+ .DS_Store
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+
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+ # Gradio
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+ flagged/
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+ *.gradio_cached_examples
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+
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+ # Models (cache)
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+ models/
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+ *.pt
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+ *.bin
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+ *.safetensors
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+
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+ # Audio files
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+ *.wav
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+ *.mp3
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+ *.flac
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+
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+ # Temporary files
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+ *.tmp
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+ *.temp
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+ /tmp/
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+
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+ # Environment variables
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+ .env
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+ .env.local
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+ .env.*.local
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+
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+ # Logs
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+ *.log
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+ logs/
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+
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+ # OS
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+ .DS_Store
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+ Thumbs.db
README.md ADDED
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+ # JamboGPT - African Language AI
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+
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+ 🌍 **JamboGPT** is an open-source AI application for Text-to-Speech (TTS) in Kenyan and African languages. It brings the power of AI to underrepresented languages, making technology more accessible across the African continent.
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+
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+ Inspired by **Yarn GPT** by Saheed Azeez, JamboGPT focuses on African languages with high-quality, natural-sounding speech synthesis.
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+
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+ ## Features
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+
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+ - 🎀 **High-Quality TTS**: Generate natural-sounding speech from text
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+ - 🌍 **African Languages**: Support for Swahili, Kikuyu, English, and more
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+ - ⚑ **Fast Inference**: Powered by Meta's MMS (Massively Multilingual Speech) models
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+ - πŸ”“ **Open Source**: Free and accessible to everyone
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+ - 🎯 **Easy to Use**: Simple Gradio interface
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+ - πŸ“± **Web-Based**: Access from any browser
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+
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+ ## Supported Languages
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+
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+ | Language | Code | Description |
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+ |----------|------|-------------|
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+ | Swahili | swh | East African language spoken in Kenya, Tanzania, Uganda |
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+ | Kikuyu | ki | Bantu language spoken in central Kenya |
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+ | English | eng | English language |
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+
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+ ## Installation
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+
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+ ### Requirements
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+ - Python 3.8+
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+ - CUDA 11.8+ (optional, for GPU acceleration)
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+
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+ ### Setup
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+
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+ 1. Clone the repository:
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+ ```bash
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+ git clone https://huggingface.co/spaces/YOUR_USERNAME/jambogpt
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+ cd jambogpt
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+ ```
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+
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+ 2. Create a virtual environment:
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+ ```bash
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+ python3 -m venv venv
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+ source venv/bin/activate # On Windows: venv\Scripts\activate
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+ ```
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+
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+ 3. Install dependencies:
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+ ```bash
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+ pip install -r requirements.txt
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+ ```
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+
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+ ## Usage
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+
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+ ### Run Locally
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+
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+ ```bash
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+ python app.py
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+ ```
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+
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+ The app will be available at `http://localhost:7860`
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+
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+ ### Deploy to Hugging Face Spaces
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+
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+ 1. Create a new Space on Hugging Face
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+ 2. Push your code to the Space repository
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+ 3. Gradio will automatically detect `app.py` and deploy it
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+
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+ ## Architecture
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+
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+ **JamboGPT** uses the following technology stack:
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+
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+ - **Gradio**: Web interface framework
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+ - **Hugging Face Transformers**: Model loading and inference
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+ - **Meta MMS**: Multilingual speech synthesis models
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+ - **PyTorch**: Deep learning framework
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+ - **SciPy**: Audio processing
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+
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+ ## Model Information
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+
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+ ### Text-to-Speech Models
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+
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+ - **facebook/mms-tts-swh**: Swahili TTS (Meta MMS)
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+ - **BrianMwangi/African-Kikuyu-TTS**: Kikuyu TTS (Fine-tuned MMS)
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+ - **facebook/mms-tts-eng**: English TTS (Meta MMS)
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+
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+ All models are open-source and available on Hugging Face Hub.
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+
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+ ## Performance
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+
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+ - **Inference Time**: ~2-5 seconds per 100 words (CPU), <1 second (GPU)
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+ - **Audio Quality**: 16kHz, 16-bit PCM WAV
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+ - **Max Text Length**: 1000 characters per request
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+
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+ ## Roadmap
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+
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+ - [ ] Add more African languages (Luo, Luhya, Kamba, Amharic, Yoruba, Igbo, Hausa)
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+ - [ ] Implement voice cloning
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+ - [ ] Add speech-to-text (ASR)
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+ - [ ] Support for multiple speakers
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+ - [ ] Real-time streaming
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+ - [ ] Mobile app
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+
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+ ## Contributing
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+
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+ Contributions are welcome! Please feel free to submit pull requests or open issues.
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+
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+ ## License
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+
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+ This project is licensed under the MIT License - see the LICENSE file for details.
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+
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+ ## Acknowledgments
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+
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+ - **Saheed Azeez** for creating Yarn GPT, which inspired this project
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+ - **Meta AI** for the MMS (Massively Multilingual Speech) models
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+ - **Hugging Face** for the model hub and Spaces platform
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+ - **Sunbird AI** for Kikuyu language models
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+ - **African language communities** for their support and feedback
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+
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+ ## Citation
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+
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+ If you use JamboGPT in your research, please cite:
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+
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+ ```bibtex
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+ @software{jambogpt2026,
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+ title={JamboGPT: African Language AI},
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+ author={Your Name},
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+ year={2026},
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+ url={https://huggingface.co/spaces/YOUR_USERNAME/jambogpt}
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+ }
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+ ```
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+
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+ ## Contact
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+
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+ - GitHub Issues: [Report a bug](https://github.com/YOUR_USERNAME/jambogpt/issues)
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+ - Email: your.email@example.com
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+ - Twitter: [@YourHandle](https://twitter.com/YourHandle)
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+
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+ ---
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+
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+ **Jambo** means "hello" in Swahili. We're bringing AI to African languages. 🌍
app.py ADDED
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+ #!/usr/bin/env python3
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+ """
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+ JamboGPT - African Language AI
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+ A Gradio-based application for Text-to-Speech and Chat in Kenyan and African languages.
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+ Inspired by Yarn GPT by Saheed Azeez.
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+ """
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+
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+ import os
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+ import gradio as gr
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+ import torch
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+ import torchaudio
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+ from transformers import pipeline
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+ import numpy as np
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+ from scipy.io import wavfile
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+ import tempfile
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+
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+ # Set device
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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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+ print(f"Using device: {device}")
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+
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+ # Language configurations
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+ LANGUAGES = {
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+ "Swahili": {
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+ "code": "swh",
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+ "tts_model": "facebook/mms-tts-swh",
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+ "description": "East African language spoken in Kenya, Tanzania, Uganda"
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+ },
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+ "Kikuyu": {
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+ "code": "ki",
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+ "tts_model": "BrianMwangi/African-Kikuyu-TTS",
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+ "description": "Bantu language spoken in central Kenya"
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+ },
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+ "English": {
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+ "code": "eng",
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+ "tts_model": "facebook/mms-tts-eng",
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+ "description": "English language"
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+ },
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+ }
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+
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+ # Cache for loaded models
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+ model_cache = {}
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+
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+ def load_tts_model(language_name):
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+ """Load TTS model for the specified language."""
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+ if language_name not in LANGUAGES:
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+ return None
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+
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+ lang_config = LANGUAGES[language_name]
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+ model_id = lang_config["tts_model"]
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+
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+ # Check cache
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+ if model_id in model_cache:
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+ return model_cache[model_id]
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+
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+ try:
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+ print(f"Loading TTS model for {language_name}: {model_id}")
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+ synthesizer = pipeline(
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+ "text-to-speech",
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+ model=model_id,
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+ device=device if device == "cuda" else -1
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+ )
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+ model_cache[model_id] = synthesizer
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+ return synthesizer
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+ except Exception as e:
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+ print(f"Error loading model {model_id}: {e}")
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+ return None
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+
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+ def generate_speech(text, language):
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+ """Generate speech from text in the specified language."""
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+ if not text or not text.strip():
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+ return None, "Please enter some text to generate speech."
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+
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+ if len(text) > 1000:
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+ return None, "Text is too long. Maximum 1000 characters allowed."
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+
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+ try:
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+ synthesizer = load_tts_model(language)
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+ if synthesizer is None:
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+ return None, f"Failed to load TTS model for {language}."
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+
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+ print(f"Generating speech for: {text[:50]}...")
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+
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+ # Generate speech
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+ speech = synthesizer(text)
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+
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+ # Extract audio
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+ audio_array = np.array(speech["audio"]).flatten()
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+ sample_rate = speech["sampling_rate"]
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+
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+ # Save to temporary file
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+ with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
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+ wavfile.write(f.name, sample_rate, (audio_array * 32767).astype(np.int16))
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+ temp_path = f.name
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+
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+ return temp_path, f"βœ“ Speech generated successfully in {language}!"
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+
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+ except Exception as e:
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+ print(f"Error generating speech: {e}")
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+ return None, f"Error generating speech: {str(e)}"
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+
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+ def create_interface():
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+ """Create the Gradio interface."""
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+
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+ with gr.Blocks(
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+ title="JamboGPT - African Language AI",
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+ theme=gr.themes.Soft(
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+ primary_hue="blue",
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+ secondary_hue="cyan",
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+ )
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+ ) as demo:
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+
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+ # Header
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+ gr.Markdown(
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+ """
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+ # 🌍 JamboGPT - African Language AI
116
+ ### Text-to-Speech for Kenyan & African Languages
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+
118
+ Generate high-quality audio in Swahili, Kikuyu, English and more.
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+ Inspired by **Yarn GPT** by Saheed Azeez.
120
+
121
+ ---
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+ """
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+ )
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+
125
+ with gr.Tabs():
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+ # Tab 1: Text-to-Speech
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+ with gr.Tab("🎀 Text-to-Speech"):
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+ gr.Markdown("""
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+ ### Generate Speech from Text
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+ Enter your text and select a language to generate natural-sounding speech.
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+ """)
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+
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+ with gr.Row():
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+ with gr.Column(scale=2):
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+ text_input = gr.Textbox(
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+ label="Enter Text",
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+ placeholder="Type your text here (max 1000 characters)...",
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+ lines=5,
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+ max_lines=10
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+ )
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+
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+ with gr.Column(scale=1):
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+ language_select = gr.Dropdown(
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+ choices=list(LANGUAGES.keys()),
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+ value="Swahili",
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+ label="Select Language",
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+ interactive=True
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+ )
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+
150
+ generate_btn = gr.Button(
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+ "🎡 Generate Speech",
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+ variant="primary",
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+ scale=1
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+ )
155
+
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+ with gr.Row():
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+ audio_output = gr.Audio(
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+ label="Generated Audio",
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+ type="filepath",
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+ interactive=False
161
+ )
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+
163
+ status_msg = gr.Textbox(
164
+ label="Status",
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+ interactive=False,
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+ value="Ready to generate speech"
167
+ )
168
+
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+ # Connect button to function
170
+ generate_btn.click(
171
+ fn=generate_speech,
172
+ inputs=[text_input, language_select],
173
+ outputs=[audio_output, status_msg]
174
+ )
175
+
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+ # Tab 2: Language Info
177
+ with gr.Tab("ℹ️ Language Information"):
178
+ gr.Markdown("""
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+ ### Supported Languages
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+
181
+ JamboGPT supports the following African languages:
182
+ """)
183
+
184
+ lang_info = []
185
+ for lang_name, lang_config in LANGUAGES.items():
186
+ lang_info.append(f"""
187
+ **{lang_name}** ({lang_config['code']})
188
+ - {lang_config['description']}
189
+ - Model: `{lang_config['tts_model']}`
190
+ """)
191
+
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+ gr.Markdown("\n".join(lang_info))
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+
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+ gr.Markdown("""
195
+ ---
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+
197
+ ### About JamboGPT
198
+
199
+ JamboGPT is an open-source African Language AI application built with:
200
+ - **Gradio** for the user interface
201
+ - **Hugging Face Transformers** for language models
202
+ - **Meta's MMS (Massively Multilingual Speech)** for TTS
203
+
204
+ ### Features
205
+ - 🎀 High-quality Text-to-Speech
206
+ - 🌍 Multiple African languages
207
+ - ⚑ Fast inference
208
+ - πŸ”“ Open-source and free
209
+
210
+ ### Get Involved
211
+ - GitHub: [JamboGPT Repository](https://github.com)
212
+ - Hugging Face: [JamboGPT Spaces](https://huggingface.co/spaces)
213
+
214
+ ---
215
+
216
+ **Inspired by Yarn GPT by Saheed Azeez**
217
+
218
+ JamboGPT brings similar TTS capabilities to African languages,
219
+ making AI more accessible across the continent.
220
+ """)
221
+
222
+ # Footer
223
+ gr.Markdown("""
224
+ ---
225
+ **JamboGPT** © 2026 | Built with ❀️ for African Languages
226
+
227
+ *Jambo* means "hello" in Swahili. We're bringing AI to African languages.
228
+ """)
229
+
230
+ return demo
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+
232
+ if __name__ == "__main__":
233
+ print("🌍 Starting JamboGPT - African Language AI")
234
+ print("=" * 50)
235
+
236
+ demo = create_interface()
237
+
238
+ # Launch the app
239
+ demo.launch(
240
+ server_name="0.0.0.0",
241
+ server_port=7860,
242
+ share=False,
243
+ show_error=True,
244
+ show_api=True
245
+ )
requirements.txt ADDED
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+ gradio==6.14.0
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+ torch==2.11.0
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+ torchaudio==2.11.0
4
+ transformers==5.8.0
5
+ scipy==1.17.1
6
+ librosa==0.11.0
7
+ pydub==0.25.1
8
+ huggingface-hub==1.14.0
9
+ numpy==2.4.4