Update Dockerfile

Dockerfile

@@ -1,27 +1,34 @@
+# Use the official Python image as a base
 FROM python:3.9.13
-USER root
 
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-        libgl1-mesa-glx \
-        git \
-    && \
-    rm -rf /var/lib/apt/lists/*
+# Set environment variables
+ENV HOME=/home/user
+ENV PATH=$HOME/.local/bin:$PATH
 
+# Create a non-root user and set ownership for HOME directory
 RUN useradd -m -u 1000 user
-USER user
-    
-ENV HOME=/home/user \
-	PATH=/home/user/.local/bin:$PATH
+RUN chown -R user:user $HOME
 
+# Set the working directory
 WORKDIR $HOME/app
 
-COPY --chown=user . $HOME/app
+# Clone the shap-e repository from GitHub (optional based on your needs)
+# RUN git clone https://github.com/openai/shap-e .
 
-ENV NUMBA_CACHE_DIR=/tmp/numba_cache
-RUN git clone https://github.com/openai/shap-e
-RUN pip install -r requirements.txt
+# Copy the local app files into the container
+COPY --chown=user . .
+
+# Create a requirements.txt file with specified dependencies
+RUN echo "-e ." > requirements.txt \
+    && echo "flask" >> requirements.txt \
+    && echo "flask_cors" >> requirements.txt \
+    && echo "gunicorn" >> requirements.txt
 
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
 
+# Set Numba cache directory (optional)
+ENV NUMBA_CACHE_DIR=/tmp/numba_cache
 
-CMD ["gunicorn", "-b", "0.0.0.0:7860","app:app"]
+# Default command to run the application
+CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]