update

app.py

@@ -44,7 +44,7 @@ def predict_disease_from_symptom(symptom_list):
     df_test.loc[0] = np.array(list(symptoms.values()))
 
     # Load pre-trained model
-    clf = load(str("./saved_model/random_forest.joblib"))
+    clf = load(str("./saved_model/gradient_boost.joblib"))
     result = clf.predict(df_test)
 
     # Cleanup