Upload folder using huggingface_hub

app.py

@@ -17,21 +17,6 @@ st.write("This tool predicts if an extraaLearn customer is likely to convert sta
 
 st.subheader("Enter the customer details:")
 
-        'age': eL_data['age'],
-        'website_visits': eL_data['website_visits'],
-        'time_spent_on_website': eL_data['time_spent_on_website'],
-        'page_views_per_visit': eL_data['page_views_per_visit'],
-        'current_occupation': eL_data['current_occupation'],
-        'first_interaction': eL_data['first_interaction'],
-        'profile_completed': eL_data['profile_completed'],
-        'last_activity': eL_data['last_activity'],
-        'print_media_type1': eL_data['print_media_type1'],
-        'print_media_type2': eL_data['print_media_type2'],
-        'digital_media': eL_data['digital_media'],
-        'educational_channels': eL_data['educational_channels'],
-        'referral' : eL_data['referral']
-
-
 # Collect user input
 age = st.number_input("age", min_value=14, step=1)
 website_visits = st.number_input("website_visits", min_value=1, value=2)
@@ -68,4 +53,4 @@ input_data = pd.DataFrame([{
 # Predict button
 if st.button("Predict"):
     prediction = model.predict(input_data)
-    st.write(f"The predicted status for the customer is ${prediction[0]}.")
+    st.write(f"The predicted status for the customer is ${prediction[0]}")