🚀 Upload Flask + Docker backend files

Dockerfile

@@ -1,21 +1,18 @@
 FROM python:3.9-slim
 
+# Set working directory inside the container
 WORKDIR /app
 
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    software-properties-common \
-    git \
-    && rm -rf /var/lib/apt/lists/*
+# Copy all files from current directory to container
+COPY . .
 
-COPY requirements.txt ./
-COPY src/ ./src/
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
 
-RUN pip3 install -r requirements.txt
+# Expose the port the app runs on
+EXPOSE 7860
 
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+# Command to run the application using Gunicorn
+# - `app:superkart_sales_api` -> 'superkart_sales_api' is the Flask app instance in SuperKart_Sales_Predictor.py
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "SuperKart_Sales_Predictor:superkart_sales_api"]

requirements.txt

@@ -1,3 +1,20 @@
-altair
-pandas
-streamlit
+
+numpy==2.0.2
+pandas==2.2.2
+scikit-learn==1.6.1
+xgboost==2.1.4
+joblib==1.4.2
+flask==2.2.2
+Werkzeug==2.3.8
+gunicorn==20.1.0
+requests==2.28.1
+python-dateutil>=2.8.2
+pytz>=2020.1
+tzdata>=2022.7
+scipy>=1.6.0
+threadpoolctl>=3.1.0
+nvidia-nccl-cu12==2.27.3
+importlib-metadata>=3.6.0
+click>=8.0
+itsdangerous>=2.0
+Jinja2>=3.0

superkart_prediction_xgb_final_model_v1.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de57d65a0f5be09cc1ee5b002deca487096dca2b103cd550af8e864bd74f9327
+size 421637