admin
44 lines
1.3 KiB
Docker
44 lines
1.3 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. \
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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://github.com/JSchmie/ScrAIbe"
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# Install system dependencies (ffmpeg required)
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RUN apt update -y && \
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apt install -y --no-install-recommends ffmpeg && \
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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
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# Environment variables for LocalAI (transcription/diarization)
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# Set these via docker run -e or docker-compose
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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-diarize
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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=llama-3.1-8b-instruct
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# Copy and install Python dependencies
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COPY requirements.txt /app/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/scraibe
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# Expose port (if UI is served)
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EXPOSE 7860
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# Run the application
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ENTRYPOINT ["python3", "-m", "scraibe.cli"]
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