README.md

metadata

title: Trascriber
emoji: 📜
colorFrom: blue
colorTo: blue
sdk: streamlit
sdk_version: 1.40.2
app_file: app.py
pinned: true

YouTube Video Transcriber

A Streamlit app that transcribes YouTube videos using Whisper, with optional formatting using a large language model, audio download, and video download.

How it works

• Downloads audio from YouTube videos using yt-dlp.
• Splits audio into speech segments using Silero VAD.
• Transcribes segments in batches using OpenAI's Whisper model.
• Formats the transcription using a large language model (if selected).
• Displays transcribed text with timestamps.
• Provides options to download the raw transcription, formatted transcription, audio, or video.

Requirements

Listed in requirements.txt

Usage

1. Install dependencies: pip install -r requirements.txt
2. Run the app: streamlit run app.py
3. Enter a YouTube video URL.
4. Choose options: Transcribe, Download Audio, Download Video, Format Text.
5. Select a language or use auto-detect (under "Advanced Settings").
6. Click "Process".

Screenshot

License

MIT