Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/faker2048/youtube-faster-whisper
YTWS is a simple CLI tool that downloads YouTube videos and creates subtitles quickly. It uses yt-dlp for downloading and faster-whisper for transcribing, making it easy and efficient to use.
https://github.com/faker2048/youtube-faster-whisper
substitle tools transcript whisper youtube
Last synced: about 1 month ago
JSON representation
YTWS is a simple CLI tool that downloads YouTube videos and creates subtitles quickly. It uses yt-dlp for downloading and faster-whisper for transcribing, making it easy and efficient to use.
- Host: GitHub
- URL: https://github.com/faker2048/youtube-faster-whisper
- Owner: faker2048
- License: mit
- Created: 2023-07-26T13:31:45.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-03T16:49:39.000Z (5 months ago)
- Last Synced: 2024-09-28T12:22:56.766Z (about 2 months ago)
- Topics: substitle, tools, transcript, whisper, youtube
- Language: Python
- Homepage:
- Size: 1.16 MB
- Stars: 35
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# YTWS: YouTube Download and Faster-Whisper Subtitle Generation CLI Tool 🔥
YTWS, is a simple CLI tool that downloads YouTube videos and creates subtitles quickly. It uses [`yt-dlp`](https://github.com/yt-dlp/yt-dlp) for downloading and [`faster-whisper`](https://github.com/guillaumekln/faster-whisper) for transcribing, making it easy and efficient to use.
Essentially, YTWS is a **user-friendly** wrapper integrating yt-dlp and faster-whisper, simplifying the user experience.
YTWS is short for YouTube Whisper.
## ⭐ Features
- **Easy to Use**: Start without any hassle.
- **Fast Subtitle Generation**: Harness the speed of `faster-whisper`.
- **GPU Acceleration**: A simple guide for harnessing GPU power.
## 🪄 Functional
- Downloading and Transcribing YouTube Videos/Audios
- Only Downloading YouTube Videos/Audios
- Only Transcribing Videos/Audios
## ⚙ Requirements
#### ffmpeg
Install ffmpeg
For Ubuntu:
```bash
sudo apt install ffmpeg
```
For Python virtual environment (recommended):
```bash
conda install ffmpeg
```
For Windows scoop users:
```bash
scoop install ffmpeg
```
## ⚙ Installation YTWS
Install YTWS easily with these commands:
```bash
pip install ytws
```
or
```bash
pip install git+https://github.com/faker2048/youtube-whisper.git
```
## 🚀 Usage
### Downloading and Transcribing YouTube Videos/Audios
To download and transcribe a video, simply run:
Example:
```bash
# Download (bestvideo+bestauido) format and transcribe the video
ytws dt -u "https://www.youtube.com/watch?v=XXXXXXXX" -m large-v3
# Specify the format using the -f option
ytws dt -u "https://www.youtube.com/watch?v=XXXXXXXX" -m large-v3 -f "bestvideo+bestaudio/best"
# Audio only
ytws dt -u "https://www.youtube.com/watch?v=XXXXXXXX" -m large-v3 -f "worstaudio[tbr>100]"
```
After running the command, the media file and the generated subtitles will be saved in the same directory as the video file.
See more details
```bash
❯ ytws dt --help
Usage: ytws dt [OPTIONS]
Download video/audio from Youtube and generate subtitles.
Options:
-u, --url TEXT Youtube URL. [required]
-n, --threads INTEGER Number of threads to use.
-f, --format TEXT Download format. See: https://github.com/yt-dlp/yt-
dlp#format-selection-examples
-t, --translate Translate the subtitles to English.
-m, --model_name TEXT Name of the model to use. e.g. (tiny, tiny.en, base,
base.en, small, small.en, medium, medium.en,
large-v1, or large-v2, or large-v3), recommended: (large-v3)
-r, --model_root TEXT Root directory for the models.
--cpu Use CPU instead of GPU. This is useful if you do not
have a GPU.
-s, --srt_only Only generate subtitles. Do not download video.
-v, --video_only Only download video. Do not generate subtitles.
--help Show this message and exit.
```
### Only Downloading YouTube Videos/Audios
To download a video, simply run:
Example:
```bash
ytws d -u "https://www.youtube.com/watch?v=XXXXXXXX" -f "bestvideo+bestaudio/best"
```
See more details
```bash
❯ ytws d --help
Usage: ytws d [OPTIONS]
Download a video/audio from YouTube.
Options:
-u, --url TEXT The URL of the YouTube video or the filename to be
downloaded. [required]
-n, --threads INTEGER The number of threads to use for downloading. Default
is 16.
-f, --format TEXT The download format. Options include:
'worstaudio[tbr>100]/bestaudio/best' for audio only,
'bestvideo[height>=1080]/bestvideo' for video only,
'bestvideo+bestaudio/best' for both video and audio
(default). Use 'best' for the best quality or specify
particular formats.
--help Show this message and exit.
```
### Only Transcribing Videos/Audios
To transcribe a video, simply run:
Example:
```bash
ytws t -f "video.mp4" -m large-v3
```
After running the command, the generated subtitles will be saved in the same directory as the video file.
See more details
```bash
❯ ytws t --help
Usage: ytws t [OPTIONS]
Transcribe a video/audio file.
Options:
-f, --file TEXT The media file to be transcribed. [required]
-t, --translate Translate the subtitles to English.
-m, --model_name TEXT Name of the model to use. e.g. (tiny, tiny.en, base,
base.en, small, small.en, medium, medium.en,
large-v1, or large-v2), recommended: (large-v2)
-r, --model_root TEXT Root directory for the models.
--cpu Use CPU instead of GPU. This is useful if you do not
have a GPU.
--help Show this message and exit.
```
## 🛫 GPU Acceleration
For easy CUDA and cuDNN installation:
- Linux:
```bash
conda install cudnn
```
- Windows:
_Although using additional torch libraries may not be ideal, it's a straightforward approach for Windows (compared to Nvidia's official CUDA installation). Any alternative methods or suggestions are welcome!_
```bash
pip3 install torch --index-url https://download.pytorch.org/whl/cu118
```
After these settings, YTWS should work with a GPU.
## 🪄 Available Models
Visit [here](https://huggingface.co/guillaumekln) for more details.
## 🌟 Contributing to YTWS
We welcome contributions to YTWS! Your support makes a difference.
### How to Contribute
- **Fork, Clone, Branch**: Start by forking and cloning the repository, then work in separate branches.
- **Commit**: Follow the project standards and commit your changes.
- **Pull Request**: Submit a concise pull request (PR) to the main branch.
### Using Pre-Commit
To maintain code format:
```bash
pip install pre-commit
pre-commit install
```
Pre-commit will guide you through necessary checks and corrections. Feel free to reach out if you have any questions or suggestions!