Update app.py

app.py

@@ -37,8 +37,8 @@ def process_result_detection_tab(text):
     '''
     mapping = {'llm': 'Machine Generated', 'human':'Human Written', 'machine-humanized': 'Machine Written, Machine Humanized', 'machine-polished': 'Human Written, Machine Polished'} 
 
-    result = classifier(text)[0]
-    result_r = classifier_roberta(text)[0]
+    result = classifier_abstract(text)[0]
+    result_r = classifier_essay(text)[0]
 
     labels = [mapping[x['label']] for x in result]
     scores = list(0.5 * np.array([x['score'] for x in result]) + 0.5 * np.array([x['score'] for x in result_r]))