Update app.py

app.py

@@ -166,9 +166,9 @@ def concrete_predict_survival(input_dict):
     pred = concrete_clf.predict_proba(df)[0]
     return {"Perishes": float(pred[0]), "Survives": float(pred[1])}
 
-print("\nclear_test    ", clear_predict_survival({'Pclass': [1], 'Sex': [0], 'Age': [25], 'Fare': [20.0], 'Embarked': [2], 'Company': [1]}))
+# print("\nclear_test    ", clear_predict_survival({'Pclass': [1], 'Sex': [0], 'Age': [25], 'Fare': [20.0], 'Embarked': [2], 'Company': [1]}))
 
-print("encrypted_test", concrete_predict_survival({'Pclass': [1], 'Sex': [0], 'Age': [25], 'Fare': [20.0], 'Embarked': [2], 'Company': [1]}),"\n")
+# print("encrypted_test", concrete_predict_survival({'Pclass': [1], 'Sex': [0], 'Age': [25], 'Fare': [20.0], 'Embarked': [2], 'Company': [1]}),"\n")
 
 
 def key_gen_fn() -> Dict:
@@ -516,14 +516,14 @@ def decrypt_fn(user_id: str, user_inputs: np.ndarray) -> Dict:
     # Deserialize, decrypt and post-process the encrypted output
     output = client.deserialize_decrypt_dequantize(encrypted_output)
 
-    # print("output =\n", output)
+    print("output =\n", output)
 
     # top3_diseases = np.argsort(output.flatten())[-3:][::-1]
     # top3_proba = output[0][top3_diseases]
 
     out = {"Perishes": float(output[0][0]), "Survives": float(output[0][1])}
 
-    # print("output =\n", out)
+    print("output =\n", out)
 
     return {
         error_box7: gr.update(visible=False),