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Updated README.md
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README.md

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## Development environment setup
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1. Create a virtual environment:
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```bash
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python -m venv venv
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```
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2. Activate the virtual environment:
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```bash
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source venv/bin/activate
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```
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3. Install the required packages:
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```bash
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pip install -r requirements.txt
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```
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4. Edit the environment settings, should be in a file named `.env`. The following settings should be sufficient for most cases:
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1. Edit the environment settings, should be in a file named `.env`. The following settings should be sufficient for most cases:
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```env
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DEBUG=True
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API_BACKEND_URL="http://localhost:8000"
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FILE_STORAGE_DIR="<Your file storage directory>"
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```
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5. Build and install whisper.cpp, see https://github.com/ggml-org/whisper.cpp for details.
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2. Build and install whisper.cpp, see https://github.com/ggml-org/whisper.cpp for details.
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6. Download the needed Whisper models. From the transcriber-worker directory run:
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3. Download the needed Whisper models. From the transcriber-worker directory run:
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```bash
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./download_models.sh
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```
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7. Run the worker:
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4. Run the worker with uv:
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```bash
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python3 main.py --foreground --debug
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uv run main.py --foreground --debug
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```
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