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@@ -1,22 +1,19 @@
-FROM python:3.10-slim
+# Use a lightweight Python image
+FROM python:3.9-slim
 
-ENV PYTHONUNBUFFERED=1
-# keep CPU tiny runners stable
-ENV OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 NUMEXPR_NUM_THREADS=1
-# provide a default in case HF doesn't inject $PORT for any reason
-ENV PORT=7860
-
-ARG BUILD_ID=12
+# Set the working directory
 WORKDIR /app
 
+# Copy the requirements file and install dependencies
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# match this filename to your actual artifact in the repo
-COPY app.py best_model_random_forest.joblib ./
-ENV MODEL_PATH=best_model_random_forest.joblib
+# Copy the application code and the trained model
+COPY app.py .
+COPY best_sales_forecasting_model.pkl .
 
-EXPOSE 7860
+# Expose the port the app runs on
+EXPOSE 5000
 
-# ✅ run the Flask app; it reads PORT via os.getenv("PORT", "5000")
-CMD ["python","app.py"]
+# Command to run the application
+CMD ["flask", "run", "--host=0.0.0.0", "--port=5000"]