🎙️ Whisper Transcribe App

A simple web app to transcribe audio files using OpenAI's Whisper model, built with Streamlit.

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🚀 Features

• 🎧 Upload and play audio (.mp3, .wav, .m4a, .mp4)
• 🧠 Transcribe using Whisper model (tiny, base, small, medium, large)
• 📝 Display transcribed text directly in the app
• 💾 Runs locally or on Streamlit Cloud

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📦 Requirements

Install dependencies with pip:

pip install -r requirements.txt

If you haven't already, make sure ffmpeg is available in your system.

For Linux (Debian/Ubuntu):

sudo apt-get install ffmpeg

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📂 File Structure

whisper-transcribe-app/
├── app.py               # Streamlit app source code
├── requirements.txt     # Python dependencies
└── README.md            # This file

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▶️ How to Run

🔹 Local Machine

streamlit run app.py

🔹 Streamlit Cloud

1. Push this repo to your GitHub
2. Go to streamlit.io/cloud
3. Deploy new app from your GitHub repo
4. (Optional) Create packages.txt with:

ffmpeg

to ensure ffmpeg is available on the cloud platform.

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🧠 Whisper Model Options

The app supports these model sizes (sorted from lightest to heaviest):

• tiny (~39 MB)
• base (~74 MB)
• small (~244 MB) (default)
• medium (~769 MB)
• large (~1.55 GB)

Choose based on your accuracy/speed/memory preferences.

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📜 License

MIT License

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💬 Acknowledgements

• OpenAI Whisper
• Streamlit