Update app.py

app.py

@@ -1,4 +1,5 @@
 from gpt_index import GPTSimpleVectorIndex
+from llama_index.indices.query.query_transform.base import HyDEQueryTransform
 import gradio as gr
 from gradio import Interface, Textbox
 import sys
@@ -102,9 +103,10 @@ 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, mentioned_person='Mediator John Haynes', confidence_threshold=0.5:
+    hyde = HyDEQueryTransform(include_original=True)
     prompt = f"You are {mentioned_person}. Answer this query: {input_text}. Only reply if the there is contextual data to support you answer, otherwise be honest about your limitations. To finish, ask a reflective question about the topic at hand."
-    response = index.query(prompt, response_mode="default", verbose=True)
+    response = index.query(prompt, response_mode="default", verbose=True, query_transform=hyde)
 
     store_message(input_text,response)