Update app.py

app.py

@@ -103,25 +103,27 @@ def print_header_json_file(filepath):
 index = get_index(INDEX_FILE)
         
 # passes the prompt to the chatbot
-def chatbot(input_text, mentioned_person='Mediator John Haynes', confidence_threshold=0.5):
+def chatbot(input_text, history=[]):
     hyde= HyDEQueryTransform(include_original=True)
-    prompt = f"In character as {mentioned_person}, please respond to: {input_text}. Only reply with contextual information or say you cannot find an answer. End with a reflective question."
+    prompt = f"In character as John Haynes, please respond to: {input_text}. Only reply with contextual information or say you cannot find an answer. End with a reflective question."
     response = index.query(prompt, response_mode="default", verbose=True, query_transform=hyde)
     store_message(input_text,response)
     
     # return the response
-    return response.response
+    return response.response,history
 
 
 with open('about.txt', 'r') as file:
     about = file.read()
 
-examples=[["Sarah and Charlie are having a dispute around how to share the Easter holidays with their children. Can you please give them 3 options?"]]
+examples=[["What are three excellent questions to ask at intake?"],["How do you handle high conflict divorce cases?"],["What metaphors do you steer parties away from in mediation? Which do you prefer?"]]
 description="GPT3_Chatbot drawing on contextual mediation material, v0.6H"
 title="The MediatorBot"
 
 iface = Interface(
     fn=chatbot,
+    inputs=[Textbox("Enter your question"), "state"],
+    outputs=["chatbot", "state"],
     inputs=Textbox("Enter your question"),
     outputs="text",
     title=title,