Whisper Summary

A web application for transcribing and summarizing audio files using OpenAI's Whisper model.

Features

• Upload audio files (MP3, WAV, M4A, FLAC)
• Transcribe audio to text using Whisper
• Generate customized summaries based on user prompts
• Modern, responsive user interface
• Drag-and-drop file upload

Setup and Installation

1. Clone the repository:

   git clone https://github.com/yourusername/whisper-summary.git
   cd whisper-summary
   

2. Create a virtual environment and activate it:

   python -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   python main.py
   

5. Open your browser and navigate to http://localhost:8000

API Endpoints

• GET /: Web interface for audio transcription
• GET /api: API information
• POST /transcribe/: Endpoint for audio transcription and summarization

License

See the LICENSE file for details.