Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/shaadclt/groq-whisper-transcription-app
A Streamlit-based web application that transcribes audio files using OpenAI's Whisper API. You can either upload an MP3 file or input a YouTube URL to convert video audio into text within seconds.
https://github.com/shaadclt/groq-whisper-transcription-app
groq streamlit transcription whisper-api
Last synced: 3 months ago
JSON representation
A Streamlit-based web application that transcribes audio files using OpenAI's Whisper API. You can either upload an MP3 file or input a YouTube URL to convert video audio into text within seconds.
- Host: GitHub
- URL: https://github.com/shaadclt/groq-whisper-transcription-app
- Owner: shaadclt
- License: mit
- Created: 2024-10-21T06:30:52.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-21T06:41:29.000Z (3 months ago)
- Last Synced: 2024-10-21T09:26:26.078Z (3 months ago)
- Topics: groq, streamlit, transcription, whisper-api
- Language: Python
- Homepage:
- Size: 14.6 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# 🎤 Groq Whisper Transcription App
A Streamlit-based web application that transcribes audio files using OpenAI's Whisper API. You can either upload an MP3 file or input a YouTube URL to convert video audio into text within seconds.
## Features
- **Upload MP3 Audio:** Upload an MP3 file, re-encode it to an efficient OGG (Opus) format, and get a transcription.
- **YouTube Audio Transcription:** Enter a YouTube video URL, download the audio, convert it to OGG, and transcribe it.
- **Streamlined Audio Processing:** The app optimizes file size by converting audio to Opus format and embedding it for playback.
- **Whisper API**: Leverages OpenAI's fast and accurate whisper-large-v3 model for speech-to-text transcription.
## Installation
1. **Clone the repository:**
```bash
git clone https://github.com/your-username/Groq-Whisper-Transcription-App.git
cd Groq-Whisper-Transcription-App
```
2. **Set up a virtual environment** (optional):
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. **Install dependencies:**
```bash
pip install -r requirements.txt
```
4. **Set up your environment variables:** Create a `.env` file in the root directory and add your Groq API key:
```bash
GROQ_API_KEY=your_groq_api_key
```
5. Run the app:
```bash
streamlit run app.py
```
## How to Use
### MP3 Upload
1. In the "📂 Upload Audio" tab, upload an MP3 file.
2. The file will be processed, re-encoded, and ready for transcription.
3. Click "📝 Transcribe" to generate a text transcript.
### YouTube to Audio Transcription
1. Go to the "🎥 YouTube to Audio" tab.
2. Enter a valid YouTube URL and click "⬇️ Download and Transcribe".
3. The audio will be downloaded, re-encoded, and transcribed.
## License
This project is licensed under the [MIT License](LICENSE.txt).