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https://github.com/vegu-ai/talemate.git
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* Update Dockerfile Replaced --no-dev with --only main * Update Dockerfile Updated command
86 lines
2.3 KiB
Docker
86 lines
2.3 KiB
Docker
# Stage 1: Frontend build
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FROM node:21 AS frontend-build
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ENV NODE_ENV=development
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WORKDIR /app
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# Copy the frontend directory contents into the container at /app
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COPY ./talemate_frontend /app
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# Install all dependencies and build
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RUN npm install && npm run build
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# Stage 2: Backend build
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FROM python:3.11-slim AS backend-build
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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bash \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Install poetry
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RUN pip install poetry
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# Copy poetry files
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COPY pyproject.toml poetry.lock* /app/
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# Create a virtual environment
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RUN python -m venv /app/talemate_env
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# Activate virtual environment and install dependencies
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RUN . /app/talemate_env/bin/activate && \
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poetry config virtualenvs.create false && \
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poetry install --only main --no-root
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# Copy the Python source code
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COPY ./src /app/src
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# Conditional PyTorch+CUDA install
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ARG CUDA_AVAILABLE=false
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RUN . /app/talemate_env/bin/activate && \
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if [ "$CUDA_AVAILABLE" = "true" ]; then \
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echo "Installing PyTorch with CUDA support..." && \
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pip uninstall torch torchaudio -y && \
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pip install torch~=2.4.1 torchaudio~=2.4.1 --index-url https://download.pytorch.org/whl/cu121; \
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fi
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# Stage 3: Final image
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FROM python:3.11-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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bash \
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&& rm -rf /var/lib/apt/lists/*
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# Copy virtual environment from backend-build stage
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COPY --from=backend-build /app/talemate_env /app/talemate_env
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# Copy Python source code
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COPY --from=backend-build /app/src /app/src
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# Copy Node.js build artifacts from frontend-build stage
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COPY --from=frontend-build /app/dist /app/talemate_frontend/dist
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# Copy the frontend WSGI file if it exists
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COPY frontend_wsgi.py /app/frontend_wsgi.py
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# Copy base config
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COPY config.example.yaml /app/config.yaml
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# Copy essentials
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COPY scenes templates chroma* /app/
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# Set PYTHONPATH to include the src directory
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ENV PYTHONPATH=/app/src:$PYTHONPATH
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# Make ports available to the world outside this container
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EXPOSE 5050
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EXPOSE 8080
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# Use bash as the shell, activate the virtual environment, and run backend server
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CMD ["/bin/bash", "-c", "source /app/talemate_env/bin/activate && python src/talemate/server/run.py runserver --host 0.0.0.0 --port 5050 --frontend-host 0.0.0.0 --frontend-port 8080"]
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