Update app_gradio.py

app_gradio.py

@@ -32,8 +32,12 @@ def churn_prediction(age, gender, tenure, usage_frequency, support_calls, paymen
         prediction = best_model.predict(input_df)
         prediction_proba = best_model.predict_proba(input_df)[:, 1]
         
-        churn_result = "Yes" if prediction[0] == 1 else "No"
         churn_probability = f"{prediction_proba[0]:.2f}"
+        if prediction_proba[0] < 0.65:
+            churn_result = "No"
+        else:
+            churn_result = "Yes" if prediction[0] == 1 else "No"
+
         
         return churn_result, churn_probability, roc_img
     except Exception as e: