Debug

app.py

@@ -147,13 +147,13 @@ lock = threading.Lock()
 #     return record_feedback(output_raw, 'disagree', do_save)
 
 def predict(statements, do_saves):
+    global lock, interactive
     output_raws = interactive.runs(list(statements)) # statements is a tuple, but tokenizer takes a list
     outputs = [{
         'True': output_raw['score_calibrated'],
         'False': 1 - output_raw['score_calibrated'],
     } for output_raw in output_raws]
     print('Logging statements to dataset:')
-    global lock
     lock.acquire()
     for output_raw, do_save in zip(output_raws, do_saves):
         if do_save:
@@ -170,8 +170,8 @@ def predict(statements, do_saves):
         [gr.update(value='Please share your feedback before trying out another statement.') for _ in statements]
 
 def record_feedback(output_raws, feedback, do_saves):
-    print('Logging feedbacks to dataset:')
     global lock
+    print('Logging feedbacks to dataset:')
     lock.acquire()
     for output_raw, do_save in zip(output_raws, do_saves):
         if do_save: