Update app.py

app.py

@@ -151,9 +151,9 @@ class LangChain_Document_QA:
  return client,agent
 
 
- def _suggested_answer(self,text):
+ def _suggested_answer(self,history, text):
  try:
- history = self._chat_history()
+ history_list = self._chat_history()
  try:
  file_path = "patient_details.json"
  with open(file_path) as file:
@@ -167,7 +167,7 @@ class LangChain_Document_QA:
  first start the conversation ask existing patient or new patient. if new patient get name,age,gender,contact,address from the patient and start. \
  if existing customer get name,age,gender,contact,address details and start the chat about existing issues and current issues. \
  if patient say thanking tone message to end the conversation with a thanking greeting when the patient expresses gratitude. \
- Chat History:['''{history}'''] 
+ Chat History:['''{history_list}'''] 
  Patient: ['''{text}''']
  Perform as Mental Healthcare Doctor Chatbot
  """
@@ -184,9 +184,13 @@ class LangChain_Document_QA:
  message = response.choices[0].text.strip()
  if ":" in message:
  message = re.sub(r'^.*:', '', message)
- return message.strip()
+ history[-1][1] = message.strip()
+ history_state.value = history
+ return history
  except:
- return "How can I help you?"
+ history[-1][1] = "How can I help you?"
+ history_state.value = history
+ return history
 
 
  def _text_box(self,customer_emotion,customer_sentiment_score): 
@@ -269,7 +273,7 @@ class LangChain_Document_QA:
 
  txt_msg = txt.submit(self._add_text, [chatbot, txt], [chatbot, txt])
  txt_msg.then(lambda: gr.update(interactive=True), None, [txt])
- txt.submit(self._suggested_answer,txt,chatbot)
+ txt.submit(self._suggested_answer, [chatbot,txt],chatbot)
  button.click(self._agent_text, [chatbot,txt3], chatbot)
  end_btn.click(self._display_history, [], txt4)
  emptyBtn.click(self.clear_func,[],[])