Update Dockerfile
Browse files- Dockerfile +25 -9
Dockerfile
CHANGED
@@ -1,30 +1,46 @@
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FROM python:3.9-slim
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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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libgl1-mesa-glx \
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libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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# Create a directory for the Hugging Face cache and make it writable
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RUN mkdir -p /huggingface_cache && chmod 777 /huggingface_cache
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ENV TRANSFORMERS_CACHE=/huggingface_cache
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ENV HF_HOME=/huggingface_cache
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-
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# Copy requirements first to leverage Docker cache
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COPY 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 app.py .
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# Create
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RUN mkdir -p
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# Expose port
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EXPOSE 5000
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#
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-
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# Use Python 3.9 slim image as base
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FROM python:3.9-slim
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# Set working directory
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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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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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libgomp1 \
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libgl1-mesa-glx \
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libglib2.0-0 \
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libgtk-3-0 \
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libgdk-pixbuf2.0-0 \
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wget \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first to leverage Docker cache
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COPY requirements.txt .
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# Install Python dependencies
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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 app.py .
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# Create directory for model cache
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RUN mkdir -p /root/.cache
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# Set environment variables
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ENV FLASK_APP=app.py
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ENV FLASK_ENV=production
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ENV PYTHONUNBUFFERED=1
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# Expose port
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EXPOSE 5000
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# Health check
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HEALTHCHECK --interval=30s --timeout=30s --start-period=60s --retries=3 \
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CMD curl -f http://localhost:5000/health || exit 1
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# Run the application with gunicorn
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CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "1", "--timeout", "120", "--keep-alive", "2", "app:app"]
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