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app.py

@@ -32,11 +32,24 @@ Product_Allocated_Area_Log = np.log1p(Product_Allocated_Area)
 
 # Prepare JSON payload for the backend
 product_data = {
-    "Age": str(Product_Weight),
-    "current_occupation ": Product_Sugar_Content,
-    
+    "Age": str(Age),
+    "current_occupation ":str( Current occupation),
+    "first_interaction": str(first_interaction),
+    "profile_completed": str(profile_completed),
+    "website_visits": str(website_visits),
+    "time_spent_on_website": str(time_spent_on_website),
+    "page_views_per_visit": str(page_views_per_visit),
+    "last_activity": str(last_activity),
+    "print_media_type1": print_media_type1,
+    "print_media_type2": print_media_type2,
+    "digital_media": str(digital_media),
+    "educational_channels": educational_channels,
+    "referral": referral
+}
+
+
 # Trigger Prediction
-if st.button("Predict", type='primary'):
+if st.button("status", type='primary'):
     try:
         response = requests.post(
             "https://HSSHETTY01-Extraa_Learns-backend2.hf.space/v1/predict",