....

app.py

@@ -358,7 +358,7 @@ def conversation(qa_chain, message, history, gpt2_model, gpt2_tokenizer, bias_pi
     new_history = history + [(message, response_answer)]
     
     # Evaluate the metrics
-    metrics = evaluate_all(question_by_user, answer_of_question, context)
+    metrics = evaluate_all(question_by_user, answer_of_question, context,gpt2_model, gpt2_tokenizer, bias_pipeline)
     evaluation_metrics = display_metrics(metrics)
 
     return (qa_chain, gr.update(value=""), new_history, response_source1, response_source1_page,
@@ -465,12 +465,12 @@ def demo():
 
         # Chatbot events
         msg.submit(conversation, \
-            inputs=[qa_chain, msg, chatbot], \
+            inputs=[qa_chain, msg, chatbot, gpt2_model, gpt2_tokenizer, bias_pipeline], \
             outputs=[qa_chain, msg, chatbot, doc_source1, source1_page, doc_source2, source2_page, doc_source3, source3_page,metrics_output], \
             queue=False)
 
         submit_btn.click(conversation, 
-                         inputs=[qa_chain, msg, history], 
+                         inputs=[qa_chain, msg, history, gpt2_model, gpt2_tokenizer, bias_pipeline], 
                          outputs=[qa_chain, chatbot, history, doc_source1, source1_page, doc_source2, source2_page, doc_source3, source3_page, metrics_output])
 
         clear_btn.click(lambda: [None, "", 0, "", 0, "", 0],