Youtube-Whisper
A Gradio app that transcribes YouTube videos using audio extraction and OpenAI’s Whisper model.
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Download Latest Version (.zip)- sync_to_huggingface_space.yml
- demo.gif
- .gitattributes
- .gitignore
- app.py
- Dockerfile
- download_video.py
- environment.yml
- LICENSE
- packages.txt
- README.md
- requirements.txt
# Installation Guide
1. Get the code
git clone https://github.com/danilotpnta/Youtube-Whisper
Downloads the entire project code from GitHub to your computer.
cd Youtube-Whisper
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
brew install ffmpeg
Installs the pre-built package via Homebrew — no source build required.
sudo apt install ffmpeg
Installs directly from the APT package repository (Debian/Ubuntu-based).
pip install --upgrade pip
Installs the package published on PyPI directly — no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -t youtube-whisper .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 youtube-whisper
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
4. Python
EasyPrerequisites
pip install --upgrade pip
Installs the package published on PyPI directly — no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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