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app.py

@@ -49,7 +49,7 @@ with col2:
     lender_count = st.number_input('Number of Lenders', min_value=1,value=1)
 
 # Prediction button
-if st.button('Predict Price 🚀'):
+if st.button('Predict loan amount 🚀'):
     # Prepare categorical features
     cat_features = pd.DataFrame({'sector': [Sector], 'country': [Country],'borrower_genders': [Gender]})
     cat_encoded = pd.DataFrame(ohe.transform(cat_features).todense(),