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Prepare Flask backend for Hugging Face Spaces deployment
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FROM python:3.11-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy and install requirements
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
# Set environment variables for AI models
ENV TRANSFORMERS_CACHE=/tmp/model_cache
ENV HF_HOME=/tmp/model_cache
ENV TOKENIZERS_PARALLELISM=false
ENV OMP_NUM_THREADS=1
# Create cache directory
RUN mkdir -p /tmp/model_cache
# Copy application
COPY . .
# βœ… Expose correct port for Hugging Face Spaces
EXPOSE 7860
# βœ… Run app on correct port
CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--workers", "1", "--timeout", "120", "app:app"]