Update app.py

app.py

@@ -183,13 +183,13 @@ class LangChain_Document_QA:
  return f"customer_emotion:{customer_emotion}\nagent_emotion:{agent_emotion}\nAgent_Sentiment_score:{agent_score}\nCustomer_sentiment_score:{customer_score}"
 
  def _on_sentiment_btn_click(self):
- client,agent=self._history_of_chat()
+ client=self._history_of_chat()
 
  customer_emotion=sentiment.emotion_analysis(client)
  customer_sentiment_score = sentiment.analyze_sentiment_for_graph(client)
 
 
- scores=self._text_box(customer_emotion,agent_emotion,agent_sentiment_score,customer_sentiment_score)
+ scores=self._text_box(customer_emotion,customer_sentiment_score)
 
  customer_fig=self._display_graph(customer_sentiment_score)
  customer_fig.update_layout(title="Sentiment Analysis",width=775)
@@ -218,7 +218,7 @@ class LangChain_Document_QA:
  with gr.Column(scale=0.8):
  txt = gr.Textbox(
  show_label=False,
- placeholder="Patient",elem_classes="height"
+ placeholder="Patient",
  ).style(container=False)
  
  with gr.Column(scale=0.2):
@@ -269,9 +269,6 @@ class LangChain_Document_QA:
  txt_msg.then(lambda: gr.update(interactive=True), None, [txt])
  txt.submit(self._suggested_answer,txt,txt3)
  button.click(self._agent_text, [chatbot,txt3], chatbot)
- # txt2.submit(self._agent_text, [chatbot, txt2], chatbot).then(
- # self._agent_text, [chatbot, txt2], chatbot
- # )
  end_btn.click(self._display_history, [], txt4)
  emptyBtn.click(self.clear_func,[],[])
  emptyBtn.click(lambda: None, None, chatbot, queue=False)