updated app3

app.py

@@ -49,21 +49,6 @@ def predict_heart_failure(age_category, alcohol_drinkers, chest_scan, covid_posi
     return "High likelihood of heart failure" if prediction == 1 else "Low likelihood of heart failure"
 
 
-def debug_model_input(input_df, model, threshold=0.5):
-    print("Input DataFrame passed to the model:")
-    print(input_df)
-
-    # Predict probabilities
-    probs = model.predict_proba(input_df)
-    print("Predicted probabilities:")
-    print(probs)
-
-    # Adjust threshold and make predictions
-    predictions = (probs[:, 1] >= threshold).astype(int)
-    print("Predictions with adjusted threshold:")
-    print(predictions)
-
-debug_model_input(test_df, model, threshold=0.4)
 
 # Define Gradio inputs
 gradio_inputs = [