Debug

app.py

@@ -144,9 +144,7 @@ interactive = Interactive()
 #     return record_feedback(output_raw, 'disagree', do_save)
 
 def predict(statements, do_saves):
-    print(statements)
-    print(list(statements))
-    output_raws = interactive.runs(list(statements))
+    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'],
@@ -283,7 +281,7 @@ with gr.Blocks() as demo:
                     value=True,
                     label="Store data",
                     info="You agree to the storage of your input data for research and development purposes:")
-                statement = gr.Textbox(placeholder='Enter a commonsense statement here', label='Statement', interactive=True)
+                statement = gr.Textbox(placeholder='Enter a commonsense statement here, or select an example from below', label='Statement', interactive=True)
                 submit = gr.Button(value='Submit', variant='primary', visible=True)
             with gr.Column(scale=1):
                 output = gr.Label(num_top_classes=2, interactive=False)
@@ -307,7 +305,7 @@ with gr.Blocks() as demo:
     feedback_agree.click(record_feedback_agree, inputs=[output_raw, do_save], outputs=[submit, feedback_agree, feedback_disagree, feedback_ack], batch=True, max_batch_size=16)
     feedback_disagree.click(record_feedback_disagree, inputs=[output_raw, do_save], outputs=[submit, feedback_agree, feedback_disagree, feedback_ack], batch=True, max_batch_size=16)
 
-demo.queue(concurrency_count=16).launch(debug=True)
+demo.queue(concurrency_count=1).launch(debug=True)
 
 # Concurrency, Batching
 # Theme, CSS