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Dockerfile

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+FROM python:3.9-slim
+WORKDIR /app
+COPY . .
+RUN pip3 install -r requirements.txt
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

app.py

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+
+import streamlit as st
+import requests
+
+st.title("SuperKart Sales Prediction App")
+
+# Input fields for product and store data
+Product_Weight = st.number_input("Product Weight", min_value=0.0, value=22.0)
+Product_Sugar_Content = st.selectbox("Product Sugar Content", ["Low Sugar", "Regular", "No Sugar"])
+Product_Allocated_Area =  st.number_input("Product_Allocated_Area", min_value=0.0, value=0.3)
+Product_MRP = st.number_input("Product_MRP", min_value=0.0, value=12.66)
+Store_Size =  st.selectbox("Store_Size", ["Small", "Medium", "High"])
+Store_Location_City_Type = st.selectbox("Store_Location_City_Type", ["Tier 1", "Tier 2", "Tier 3"])
+Store_Type = st.selectbox("Store_Type", ["Supermarket Type2", "Departmental Store", "Supermarket Type1", "Food Mart"])
+Product_Id_char = st.selectbox("Product_Id_char", ["FD", "NC", "DR"])
+Store_Age_Years = st.number_input("Store_Age_Years", min_value=0, value=38)
+Product_Type_Category =  st.selectbox("Product_Type_Category", ["Perishables", "Non Perishables"])
+
+product_data = {
+    "Product_Weight": Product_Weight,
+    "Product_Sugar_Content": Product_Sugar_Content,
+    "Product_Allocated_Area": Product_Allocated_Area,
+    "Product_MRP": Product_MRP,
+    "Store_Size": Store_Size,
+    "Store_Location_City_Type": Store_Location_City_Type,
+    "Store_Type": Store_Type,
+    "Product_Id_char": Product_Id_char,
+    "Store_Age_Years": Store_Age_Years,
+    "Product_Type_Category": Product_Type_Category
+}
+
+if st.button("Predict", type='primary'):
+    response = requests.post("https://neham9009-SuperkartApi.hf.space/v1/predict", json=product_data)
+    if response.status_code == 200:
+        result = response.json()
+        predicted_sales = result["Sales"]
+        st.write(f"Predicted Product Store Sales Total: ${predicted_sales:.2f}")
+    else:
+        st.error("Error in API request")

requirements.txt

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+requests==2.32.3
+streamlit==1.45.0
+pandas==2.2.2