Dockerfile

# Use the official Python 3.10 image as the base
FROM python:3.10

# Install system dependencies required for Hugging Face models and image processing
RUN apt-get update && apt-get install -y \
    git \
    git-lfs \
    ffmpeg \
    libsm6 \
    libxext6 \
    cmake \
    rsync \
    libgl1-mesa-glx \
    && rm -rf /var/lib/apt/lists/*

# Set up Git LFS for model downloads
RUN git lfs install

# Set the working directory
WORKDIR /home/user/app

# Copy the requirements file and install Python dependencies
COPY requirements.txt /home/user/app/
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# Copy application code into the container
COPY . .

# Expose Streamlit's default port (8501) if you're using Streamlit
EXPOSE 8501

# Command to run the app
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.enableCORS=false"]