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Update Dockerfile
Browse files- Dockerfile +7 -32
Dockerfile
CHANGED
@@ -4,41 +4,17 @@ FROM python:3.10-slim
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# Set the working directory in the container
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WORKDIR /app
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# Install system dependencies needed by Playwright browsers
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# Reference: https://playwright.dev/docs/docker#python
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# Using apt-get update before install and cleaning up reduces image size
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libnss3 \
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libnspr4 \
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libdbus-glib-1-2 \
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libatk1.0-0 \
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libatk-bridge2.0-0 \
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libcups2 \
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libdrm2 \
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libatspi2.0-0 \
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libxcomposite1 \
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libxdamage1 \
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libxfixes3 \
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libxrandr2 \
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libgbm1 \
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libpango-1.0-0 \
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libcairo2 \
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libasound2 \
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libxshmfence1 \
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&& rm -rf /var/lib/apt/lists/*
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# Copy the requirements file into the container at /app
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COPY requirements.txt .
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# Install Python dependencies
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# Using --no-cache-dir reduces image size slightly
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RUN pip install --no-cache-dir -r requirements.txt
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# Install Playwright browsers system-wide WITH dependencies
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# This needs to happen *after* pip install crawl4ai (which depends on playwright)
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# Using --with-deps installs necessary OS libraries if needed (though we added common ones above)
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RUN playwright install --with-deps chromium firefox webkit
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# Copy the rest of the application code into the container at /app
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COPY . .
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@@ -48,9 +24,8 @@ EXPOSE 7860
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# Define environment variable to ensure Python output is sent straight to logs
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ENV PYTHONUNBUFFERED=1
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# Set PLAYWRIGHT_BROWSERS_PATH to use the system-wide install
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ENV PLAYWRIGHT_BROWSERS_PATH=/root/.cache/ms-playwright
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# Command to run the application using Gunicorn
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#
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# Set the working directory in the container
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WORKDIR /app
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# Copy the requirements file into the container at /app
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COPY requirements.txt .
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# Install any needed system dependencies (if any - bs4, requests usually don't need much)
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# RUN apt-get update && apt-get install -y --no-install-recommends some-package && rm -rf /var/lib/apt/lists/*
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# For this bot, we likely don't need extra apt packages currently.
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# Install Python dependencies
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# Using --no-cache-dir reduces image size slightly
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of the application code into the container at /app
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COPY . .
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# Define environment variable to ensure Python output is sent straight to logs
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ENV PYTHONUNBUFFERED=1
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# Command to run the application using Gunicorn
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# It will run the Flask 'app' object found in the 'main' module (main.py)
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# Listen on all interfaces (0.0.0.0) on the port specified by HF (usually 7860)
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CMD ["gunicorn", "--bind", "0.0.0.0:7860", "main:app"]
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