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https://github.com/aspadax/subtitlegenerator
Automatically generate a subtitle for your video.
https://github.com/aspadax/subtitlegenerator
gpt machine-learning openai rust streamlit subtitles-generator whisper
Last synced: 2 months ago
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Automatically generate a subtitle for your video.
- Host: GitHub
- URL: https://github.com/aspadax/subtitlegenerator
- Owner: AspadaX
- Created: 2024-07-24T02:54:33.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-28T16:13:51.000Z (5 months ago)
- Last Synced: 2024-10-09T19:05:49.847Z (2 months ago)
- Topics: gpt, machine-learning, openai, rust, streamlit, subtitles-generator, whisper
- Language: Python
- Homepage: https://github.com/AspadaX/SubtitleGenerator
- Size: 113 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Subtitle Generator
Upload your video and get subtitles.
## Table of Contents
- [Subtitle Generator](#subtitle-generator)
- [Table of Contents](#table-of-contents)
- [Features](#features)
- [Requirements](#requirements)
- [Installation](#installation)
- [Prepare the model file](#prepare-the-model-file)
- [Docker Installation](#docker-installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [Contributing](#contributing)
- [License](#license)
- [Acknowledgments](#acknowledgments)
## Features
- Subtitle generation using a pre-trained model.
- Easy-to-use web interface built with Streamlit.
- Efficient processing with NVIDIA CUDA.
## Requirements
- Docker
- NVIDIA GPU and drivers compatible with CUDA 12.4.1
## Installation
### Prepare the model file
1. Download the [model](https://hf-mirror.com/ChrisZais/whisperapp/resolve/main/x-ggml-model.zh.bin?download=true) and place the weight to `./model`
### Docker Installation
1. **Clone the Repository**
```sh
git clone https://github.com/yourusername/subtitle-generator.git
cd subtitle-generator
```
2. **Build the Docker Image**
```sh
docker compose up -d
```
This will start the application, and you can access the Streamlit interface at [http://localhost:8501](http://localhost:8501).
## Usage
1. **Access the Web Interface**
Open your web browser and navigate to [http://localhost:8501](http://localhost:8501).
2. **Upload Video**
Use the provided interface to upload your video file.
3. **Generate Subtitles**
The backend will process the video, and subtitles will be generated and downloaded to your local computer.
## Project Structure
```plaintext
.
├── Dockerfile
├── README.md
├── app.py
├── core
│ └── ... (pre-built Rust backend binary and necessary files)
├── requirements.txt
└── start.sh
```
- `Dockerfile`: The Dockerfile to build the project container.
- `README.md`: This README file.
- `app.py`: The Streamlit application code.
- `core/`: Directory containing the pre-built Rust backend binary.
- `requirements.txt`: Python dependencies file.
- `start.sh`: Script to start the backend and frontend.
## Contributing
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Make your changes.
4. Commit your changes (`git commit -am 'Add new feature'`).
5. Push to the branch (`git push origin feature-branch`).
6. Create a new Pull Request.
## License
This project is for non-commercial usages. For commercial usages, please contact the author: `[email protected]`
## Acknowledgments
- NVIDIA for providing the CUDA base image.
- Streamlit for the easy-to-use web application framework.
- Tsinghua University for their software mirror.