Spaces:
Running
Running
File size: 1,689 Bytes
2758540 bcfb62f 2758540 e1496f9 2758540 19604c7 2758540 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | # Use an official Python runtime as a parent image
FROM python:3.10-slim
# Set environment variables for Python
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
# Hugging Face Spaces uses port 7860 by default
ENV PORT=7860
# Install system dependencies required for OpenCV and AI models
RUN apt-get update && apt-get install -y \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
gcc \
portaudio19-dev \
python3-dev \
git \
&& rm -rf /var/lib/apt/lists/*
# Set the working directory in the container
WORKDIR /app
# Copy the requirements file into the container
COPY requirements.txt .
# Install Python dependencies
# We specifically install the CPU-only version of PyTorch to save space and avoid GPU driver issues on the free tier
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
RUN pip install --no-cache-dir -r requirements.txt
# Increase Hugging Face Hub download timeout to prevent 504 errors
ENV HF_HUB_DOWNLOAD_TIMEOUT=120
# Create scripts directory and copy just the preload script first to leverage Docker cache
RUN mkdir -p scripts
COPY scripts/preload_models.py scripts/
# Pre-download HF model weights into the image to prevent container startup timeouts
RUN python scripts/preload_models.py
# Copy the current directory contents into the container at /app
COPY . .
# Create directories for static files and databases
RUN mkdir -p static/thumbnails static/anomalies database/data
RUN chmod -R 777 static database
# Expose the port Hugging Face expects
EXPOSE 7860
# Command to run the FastAPI server
CMD uvicorn app:app --host 0.0.0.0 --port $PORT
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