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@@ -10,6 +10,9 @@ COPY . .
 # Install Python dependencies listed in requirements.txt
 RUN pip3 install -r requirements.txt
 
+# Disable telemetry
+ENV STREAMLIT_BROWSER_GATHERUSAGESTATS=false
+
 # 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"]
 

app.py

@@ -24,15 +24,15 @@ Store_Establishment_Year = st.number_input("Store_Establishment_Year", min_value
 
 # Convert user input into a DataFrame
 input_data = pd.DataFrame([{
-    'Product_Weight':Product_Weight
-    'Product_Sugar_Content':Product_Sugar_Content
-    'Product_Allocated_Area':Product_Allocated_Area
-    'Product_Type':Product_Type
-    'Product_MRP':Product_MRP
-    'Store_Id':Store_Id
-    'Store_Establishment_Year':Store_Establishment_Year
-    'Store_Size':Store_Size
-    'Store_Location_City_Type':Store_Location_City_Type
+    'Product_Weight':Product_Weight,
+    'Product_Sugar_Content':Product_Sugar_Content,
+    'Product_Allocated_Area':Product_Allocated_Area,
+    'Product_Type':Product_Type,
+    'Product_MRP':Product_MRP,
+    'Store_Id':Store_Id,
+    'Store_Establishment_Year':Store_Establishment_Year,
+    'Store_Size':Store_Size,
+    'Store_Location_City_Type':Store_Location_City_Type,
     'Store_Type':Store_Type
 }])