Update Dockerfile

Dockerfile

@@ -1,38 +1,26 @@
-# Use a Python base image with a good balance of size and features
+# Use a Python base image suitable for Streamlit and Flask
 FROM python:3.9-slim
 
 # Set the working directory inside the container
 WORKDIR /app
 
-# Install system dependencies (Nginx, etc.)
-# Run apt-get update first, then install packages, then clean up apt cache
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends nginx && \
-    rm -rf /var/lib/apt/lists/*
-
-# Copy the combined requirements file and install Python dependencies
+# Copy the requirements file and install Python dependencies
+# This leverages Docker's build cache.
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy your Flask backend and Streamlit frontend code
-COPY flask_backend/ ./flask_backend/
-COPY streamlit_frontend/ ./streamlit_frontend/
-# If you have a sample dataset you want to include
-COPY data/ ./data/
-
-# Copy Nginx configuration and startup script
-COPY nginx.conf /etc/nginx/sites-available/default
-COPY start.sh .
-
-# Ensure Nginx uses our config
-RUN ln -sf /etc/nginx/sites-available/default /etc/nginx/sites-enabled/default && \
-    rm -rf /etc/nginx/sites-enabled/default.bak
+# Copy all your application code into the container
+# This includes main.py, streamlit_app.py, routers/, utils/, data/, etc.
+COPY . .
 
-# Make the startup script executable
-RUN chmod +x start.sh
+# Ensure the 'data' directory exists inside the container, as your Flask app expects it.
+RUN mkdir -p data
 
-# Expose the port Nginx will listen on (Hugging Face Spaces will expose this to the internet)
+# Expose the port Streamlit will listen on.
+# Hugging Face Spaces automatically exposes port 7860 for Streamlit apps.
 EXPOSE 7860
 
 # Command to run on container startup
-CMD ["./start.sh"]
+# This command starts the Flask backend in the background and then runs the Streamlit frontend.
+# Streamlit will then interact with your Flask application on localhost:5000.
+CMD ["sh", "-c", "python main.py & streamlit run streamlit_app.py --server.port=7860 --server.address=0.0.0.0"]