Listen & Learn! Text-to-Audio Converter 🎧

Easily turn any text, PDF, or web article into high-quality audio files you can listen to while walking, driving, or on the go.

A simple Streamlit app to convert documents and web content into natural-sounding speech using Azure Text-to-Speech.

Features ✨

• Convert PDFs, web pages, or direct text to audio
• Choose from multiple natural-sounding voices
• Adjust speech rate for comfortable listening
• Download audio files for offline use
• Works great for listening while commuting, exercising, or relaxing

Architecture 🏗️

• app.py – Streamlit UI & main entry point
• service.py – Core business logic & orchestration layer
• audio_processor.py – Azure TTS integration
• text_processor.py – Text extraction utilities
• llm_client.py – Azure OpenAI integration for text optimization
• audio_output/ – Generated audio files

Setup ⚙️

1. Install dependencies:

   pip install -r requirements.txt

2. Configure Azure Speech Service:
   • Create a Speech Service in Azure Portal
   • Add your credentials to a .env file:

     AZURE_SPEECH_KEY=your_key
     AZURE_SPEECH_REGION=your_region

3. Run the app:

   streamlit run app.py

Usage 🚀

1. Choose input: Upload a PDF, enter a URL, or paste text.
2. Pick a voice & settings: Select a voice and adjust speed.
3. Convert & listen: Click convert, then listen or download your audio from the app.

Supported File Types & Voices 🎙️

• Input: PDF, web page URL, or plain text
• Voices: Multiple Azure neural voices (male/female, US English)

License

MIT License