Oratio

NOTE: Repo is still a WIP. Planned: exo support, CPU-only, other Indic languages, etc.

Description : Convert PDF files into podcasts This project converts text from PDF files into audio podcasts using: BERT, PyMuPDF

📁 Architecture :

├── PDF ->

├── Chunking ->

├── Summarization -> Fb/bart-large-cnn

├── Translation -> Krutrim/ Helsinki

└── Transcript -> gemma2b/llama2-3b/llamafile

└── Audio -> Silero TTS

⚡Features :

• PDF Text Extraction: Extract text from PDFs using PyMuPDF.
• Text-to-Speech: Convert text to audio using Silero TTS.
• Script Conversion: Krutrim for translation
• Lightweight: Works on both CPU and GPU.
• Customizable: Supports multiple languages and voices.
• Natural sounding AI-generated voice using Silero TTS which is lightweight and runs relatively fast on CPU
• Using SSML to enhance quality of output audio

🔨 Installation :

• Clone the repository

⌨️ Contributing :

1. Fork the repository
2. Create a new branch (git checkout -b feature/NewFeature)
3. Commit your changes (git commit -m 'Add some NewFeature')
4. Push to the branch (git push origin feature/NewFeature)
5. Open a pull request

🤝 Acknowledgments :

• Silero TTS: snakers4/silero-models for text-to-speech
• PyMuPDF: PyMuPDF for PDF text extraction
• Krutrim: Translation