Create Dockerfile

Dockerfile

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+# 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"]