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https://github.com/amir-mohseni/voicebridge
This repository provides a dockerized Speech-to-Speech application that supports text-to-audio conversion, audio-to-text transcription, and interactive voice-based conversations. It is easy to set up and use, offering a versatile platform for speech and text processing.
https://github.com/amir-mohseni/voicebridge
docker huggingface python transformer tts whisper
Last synced: 2 days ago
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This repository provides a dockerized Speech-to-Speech application that supports text-to-audio conversion, audio-to-text transcription, and interactive voice-based conversations. It is easy to set up and use, offering a versatile platform for speech and text processing.
- Host: GitHub
- URL: https://github.com/amir-mohseni/voicebridge
- Owner: Amir-Mohseni
- Created: 2025-01-12T22:11:06.000Z (6 days ago)
- Default Branch: main
- Last Pushed: 2025-01-14T13:57:14.000Z (5 days ago)
- Last Synced: 2025-01-14T14:27:18.861Z (5 days ago)
- Topics: docker, huggingface, python, transformer, tts, whisper
- Language: Python
- Homepage:
- Size: 371 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# VoiceBridge: A Speech-to-Speech (STS) Application
This repository contains a Text-to-Speech, Speech-to-text, and Speech-to-Speech application that is dockerized and easy to use. The application allows you to convert text to audio, transcribe audio to text using Whisper, and have back-and-forth conversations with an LLM.
## Prerequisites
- Docker installed on your machine
## Running the Application
1. **Clone the repository:**
```sh
git clone https://github.com/Amir-Mohseni/VoiceBridge.git
cd VoiceBridge
```
2. **Build the Docker image:**
```sh
docker build -t vb-app .
```
3. **Run the Docker container:**
```sh
docker run -it --rm -p 7860:7860 vb-app
```
This will start the application and map port 7860 of the container to port 7860 on your host machine.
4. **Access the application:**
Open your web browser and navigate to `http://127.0.0.1:7860` to use the application.
## Features
- **Text to Audio:** Convert text to speech using various voices.
- **Audio to Text:** Transcribe audio files to text using Whisper.
- **Audio Conversation:** Have a conversation with the AI using voice input and receive voice responses.
## Files
- `main.py`: The main script to run the application.
- `text2audio.py`: The script for converting text to audio.
- `transcriber.py`: The script for transcribing audio to text.
- `llm.py`: The script for interacting with the LLM. The Hugging Face model can be easily changed in this file.
- `Dockerfile`: The Dockerfile used to build the Docker image.
- `requirements.txt`: The file containing Python dependencies.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contributing
Contributions are welcome! Please open an issue or submit a pull request.