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Dockerfile

@@ -1,16 +1,14 @@
-# Use a minimal base image with Python 3.9 installed
-FROM python:3.9-slim
+FROM python:3.11-slim
 
-# Set the working directory inside the container to /app
 WORKDIR /app
+COPY . /app
 
-# Copy all files from the current directory on the host to the container's /app directory
-COPY . .
-
-# Install Python dependencies listed in requirements.txt
+# Install just the frontend deps
 RUN pip install --no-cache-dir -r requirements.txt
 
-# 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"]
+# Hugging Face Docker Spaces expect port 7860
+EXPOSE 7860
+ENV PORT=7860
 
-# NOTE: Disable XSRF protection for easier external access in order to make batch predictions
+# Start Streamlit on 0.0.0.0:7860
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]

requirements.txt

@@ -1,6 +1,6 @@
 pandas==2.2.2
-numpy==2.0.2
-scikit-learn==1.6.1
-xgboost==2.1.4
+numpy==2.0.1
+scikit-learn==1.5.1
+xgboost==2.1.1
 joblib==1.4.2
-streamlit==1.43.2
+streamlit==1.37.0