Update Dockerfile

Dockerfile

@@ -1,35 +1,17 @@
-# Base image
-FROM python:3.10-slim
+# Use a minimal base image with Python 3.9 installed
+FROM python:3.9-slim
 
+# Set the working directory inside the container to /app
 WORKDIR /app
 
-# Copy requirements
-COPY requirements.txt .
+# Copy all files from the current directory on the host to the container's /app directory
+COPY . .
 
-RUN pip install --no-cache-dir -r requirements.txt
+# Install Python dependencies listed in requirements.txt
+RUN pip3 install -r requirements.txt
 
-# Copy app and model
-COPY app.py .
-COPY superkart_sales_prediction_model_v1_0.joblib .
+# Define the command to run the Streamlit app on port 8501 and make it accessible externally
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]
 
-# Create a writable streamlit config folder
-RUN mkdir -p /app/.streamlit
+# NOTE: Disable XSRF protection for easier external access in order to make batch predictions
 
-# Add a minimal config.toml to avoid telemetry write errors
-RUN echo "\
-[server]\n\
-headless = true\n\
-enableCORS = false\n\
-enableXsrfProtection = false\n\
-port = 7860\n\
-address = \"0.0.0.0\"\n\
-\n\
-[browser]\n\
-gatherUsageStats = false\n\
-" > /app/.streamlit/config.toml
-
-# Expose port
-EXPOSE 7860
-
-# Run streamlit (config will be picked from /app/.streamlit/config.toml)
-CMD ["streamlit", "run", "app.py"]