38 lines
1.8 KiB
Docker
38 lines
1.8 KiB
Docker
FROM node:20-alpine
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WORKDIR /app
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# ffmpeg: audio conversion for AWS Transcribe (WebM → PCM)
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# curl: download Whisper models for browser-based transcription
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RUN apk add --no-cache ffmpeg curl
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COPY package.json ./
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RUN npm install --omit=dev
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COPY . .
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RUN mkdir -p /app/data/logs
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# Download Browser Whisper (COMPLETE self-hosting - zero CDN dependencies)
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# Library + Models all bundled and served from our server
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RUN mkdir -p /app/public/models/Xenova/whisper-tiny.en/onnx && \
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cd /app/public/models && \
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echo "Downloading transformers.js library (worker-compatible build)..." && \
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curl -sL -o transformers.min.js https://cdn.jsdelivr.net/npm/@xenova/transformers@2.0.0/dist/transformers.min.js && \
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cd Xenova/whisper-tiny.en && \
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echo "Downloading Whisper model files..." && \
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curl -sL -o config.json https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/config.json && \
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curl -sL -o tokenizer.json https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/tokenizer.json && \
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curl -sL -o preprocessor_config.json https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/preprocessor_config.json && \
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curl -sL -o generation_config.json https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/generation_config.json && \
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curl -sL -o onnx/encoder_model_quantized.onnx https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/onnx/encoder_model_quantized.onnx && \
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curl -sL -o onnx/decoder_model_merged_quantized.onnx https://huggingface.co/Xenova/whisper-tiny.en/resolve/main/onnx/decoder_model_merged_quantized.onnx && \
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echo "✅ Browser Whisper: 100% self-hosted (library: 760KB, models: 42MB)"
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EXPOSE 3000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=20s \
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CMD wget --no-verbose --tries=1 --spider http://localhost:3000/api/health || exit 1
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CMD ["node", "server.js"]
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