https://github.com/terieyenike/streamlit_audio
This project is a Streamlit application that utilizes OpenAI's Whisper model for audio transcription and translation. Users can record voice messages, which the application will transcribe into text or translate into another language.
https://github.com/terieyenike/streamlit_audio
openai python streamlit
Last synced: about 2 months ago
JSON representation
This project is a Streamlit application that utilizes OpenAI's Whisper model for audio transcription and translation. Users can record voice messages, which the application will transcribe into text or translate into another language.
- Host: GitHub
- URL: https://github.com/terieyenike/streamlit_audio
- Owner: Terieyenike
- Created: 2024-11-28T16:48:18.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-06T15:11:56.000Z (over 1 year ago)
- Last Synced: 2025-09-09T08:38:59.721Z (10 months ago)
- Topics: openai, python, streamlit
- Language: Python
- Homepage: https://your-voice.streamlit.app/
- Size: 46.9 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Whisper Transcription and Translation App
## Project Description
This project is a Streamlit application that utilizes OpenAI's Whisper model for audio transcription and translation. Users can record voice messages, which the application will transcribe into text or translate into another language.
Want to try it live? Check out the [Your Voice app](https://your-voice.streamlit.app/) and see the magic from speech to text.
## Features
- **Audio Transcription**: Record a voice message and get the transcription in text format.
- **Audio Translation**: Record a voice message and get the translation in text format.
- **Save Transcription**: Option to save the transcribed text to a `.txt` file.
## Requirements
- Python 3.x
- Streamlit
- OpenAI API
- dotenv
## Set up your environment variables:
- Create a `.env` file in the root directory and add your OpenAI API key:
```
OPENAI_API_KEY=your_api_key_here
```
## Usage
1. Run the Streamlit app:
```bash
streamlit run streamlit_app.py
```
2. Open your web browser and go to `http://localhost:8501` to access the application.
## Contributing
Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.