Update app_gradio.py

app_gradio.py

@@ -33,7 +33,7 @@ def churn_prediction(age, gender, tenure, usage_frequency, support_calls, paymen
         prediction_proba = best_model.predict_proba(input_df)[:, 1]
         
         churn_probability = f"{prediction_proba[0]:.2f}"
-        if prediction_proba[0] < 0.65:
+        if prediction_proba[0] < 0.8:
             churn_result = "No"
         else:
             churn_result = "Yes" if prediction[0] == 1 else "No"