3a6f79c9a8
- Add comprehensive speech configuration in .env.example and app config - Update Docker speech Dockerfile for more flexible model handling - Create detailed README for speech-to-text examples - Implement example script demonstrating speech features - Improve speech service initialization and configuration management
41 lines
1.1 KiB
Docker
41 lines
1.1 KiB
Docker
FROM python:3.10-slim
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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build-essential \
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portaudio19-dev \
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python3-pyaudio \
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&& rm -rf /var/lib/apt/lists/*
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# Install fast-whisper and its dependencies
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RUN pip install --no-cache-dir torch torchaudio --index-url https://download.pytorch.org/whl/cpu
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RUN pip install --no-cache-dir faster-whisper
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# Install wake word detection
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RUN pip install --no-cache-dir openwakeword pyaudio sounddevice
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# Create directories
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RUN mkdir -p /models /audio
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# Download the base model by default
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# The model will be downloaded automatically when first used
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ENV ASR_MODEL=base.en
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ENV ASR_MODEL_PATH=/models
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# Create wake word model directory
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# Models will be downloaded automatically when first used
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RUN mkdir -p /models/wake_word
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WORKDIR /app
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# Copy the wake word detection script
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COPY wake_word_detector.py .
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# Set environment variables
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ENV WHISPER_MODEL_PATH=/models
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ENV WAKEWORD_MODEL_PATH=/models/wake_word
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ENV PYTHONUNBUFFERED=1
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# Run the wake word detection service
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CMD ["python", "wake_word_detector.py"] |