Upload folder using huggingface_hub

Dockerfile

@@ -0,0 +1,16 @@
+# 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 all files from the current directory on the host to the container's /app directory
+COPY . .
+
+# Install Python dependencies listed in requirements.txt
+RUN pip3 install -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"]
+
+# NOTE: Disable XSRF protection for easier external access in order to make batch predictions

README.md

@@ -1,12 +1,12 @@
 ---
-title: SuperKart Model Frontend11
-emoji: 🐢
-colorFrom: gray
-colorTo: green
-sdk: gradio
-sdk_version: 5.49.0
-app_file: app.py
-pinned: false
+title: SuperKart Sales UI
+emoji: 📈
+colorFrom: blue
+colorTo: indigo
+sdk: streamlit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# SuperKart Sales Forecasting Frontend
+
+This is the interactive Streamlit UI for the SuperKart Sales Forecasting project.
+It communicates with the separate Docker-based Flask API backend.