{"id":22819395,"url":"https://github.com/terieyenike/streamlit_audio","last_synced_at":"2026-05-06T00:31:48.209Z","repository":{"id":265280112,"uuid":"895673253","full_name":"Terieyenike/streamlit_audio","owner":"Terieyenike","description":"This project is a Streamlit application that utilizes OpenAI's Whisper model for audio transcription and translation. 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Users can record voice messages, which the application will transcribe into text or translate into another language.\n\n![downloaded transcription](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/69arvtdfjmtgmfkiogbv.png)\n\nWant to try it live? Check out the [Your Voice app](https://your-voice.streamlit.app/) and see the magic from speech to text.\n\n## Features\n\n- **Audio Transcription**: Record a voice message and get the transcription in text format.\n- **Audio Translation**: Record a voice message and get the translation in text format.\n- **Save Transcription**: Option to save the transcribed text to a `.txt` file.\n\n## Requirements\n\n- Python 3.x\n- Streamlit\n- OpenAI API\n- dotenv\n\n## Set up your environment variables:\n\n- Create a `.env` file in the root directory and add your OpenAI API key:\n  ```\n  OPENAI_API_KEY=your_api_key_here\n  ```\n\n## Usage\n\n1. Run the Streamlit app:\n\n   ```bash\n   streamlit run streamlit_app.py\n   ```\n\n2. Open your web browser and go to `http://localhost:8501` to access the application.\n\n## Contributing\n\nContributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fterieyenike%2Fstreamlit_audio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fterieyenike%2Fstreamlit_audio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fterieyenike%2Fstreamlit_audio/lists"}