admin
54 lines
1.7 KiB
Docker
54 lines
1.7 KiB
Docker
# Lightweight Python base image (no GPU/PyTorch needed)
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FROM python:3.11-slim
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# Labels
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LABEL maintainer="Jacob Schmieder"
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LABEL email="Jacob.Schmieder@dbfz.de"
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LABEL version="0.1.1.dev"
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LABEL description="Scraibe: LocalAI-backed transcription and diarization client with summarization and custom Web GUI. \
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Sends audio to a LocalAI server running vibevoice.cpp and uses a second LLM for summarization."
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LABEL url="https://git.optimex.systems/admin/scribe"
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# Install system dependencies (ffmpeg, redis)
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RUN apt update -y && \
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apt install -y --no-install-recommends ffmpeg redis-server && \
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apt clean && \
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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# Working directory
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WORKDIR /app/src
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# Environment variables for LocalAI (transcription/diarization)
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ENV LOCALAI_API_URL=http://localhost:8080
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ENV LOCALAI_API_KEY=
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ENV LOCALAI_MODEL=vibevoice-cpp-asr
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# Environment variables for Summarizer LLM
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ENV SUMMARIZER_API_URL=http://localhost:8080
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ENV SUMMARIZER_API_KEY=
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ENV SUMMARIZER_MODEL=qwen3-14b
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# Gradio / Web GUI
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ENV GRADIO_SERVER_NAME=0.0.0.0
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# Async processing (Celery + Redis)
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ENV CELERY_BROKER_URL=redis://localhost:6379/0
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ENV CELERY_RESULT_BACKEND=redis://localhost:6379/0
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ENV SCRAIBE_UPLOAD_DIR=/tmp/scraibe_uploads
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# Copy and install Python dependencies
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COPY requirements.txt /app/src/requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY scraibe /app/src/scraibe
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# Copy custom Web GUI assets (header, footer, templates, logos, config)
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COPY misc /app/src/misc
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# Expose ports
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EXPOSE 7860
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# Run the Web GUI and Celery worker (with Redis) by default
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CMD ["/bin/bash", "-c", "redis-server --daemonize yes && celery -A scraibe.celery_app worker -Q transcription -l info & python3 -m scraibe"]
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