Change fn index

app.py

@@ -1,49 +1,26 @@
 from gradio_client import Client
-from hugchat import hugchat
-from hugchat.login import Login
-import json
 import gradio as gr
 
-chat_client = Client("https://mosaicml-mpt-30b-chat.hf.space/")
+chat_client = Client("https://mosaicml-mpt-30b-chat.hf.space/", serialize = False)
 
 
 retrieval = Client("https://slycat-southampton-similarity.hf.space/")
 
-n_conv = 0
-## Instruction: You are an AI language model and must return truthful responses as per the information below\n ##Input: Information: Your name is IITIGPT. You are a helpful and truthful chatbot. You can help answer any questions about the IIT Indore campus."
-init_prompt =""
+chatbot = [["", None]]
 info="Information: \n"
-q_prompt="\n ##Instruction: Please  provide an appropriate response to the following: \n"
+q_prompt="\n ##Instruction: Please provide an appropriate response to the following in less than 3 lines: \n"  
 
-
-def change_conv():
-    # Create a new conversation
-    id = chatbot.new_conversation()
-    chatbot.change_conversation(id)
-    chatbot.chat(init_prompt)
-    chatbot.cookies = {}
     
 def main(question):
-    global n_conv
-    # if(n_conv > 3):
-    #     n_conv = 0
-    #     change_conv(chatbot)
+    global chatbot
     information = retrieval.predict(question, api_name = "/predict")
-    client = Client("https://mosaicml-mpt-30b-chat.hf.space/")
-    result = chat_client.predict(
-        
-		"Howdy!",	# str  in 'System Prompt' Textbox component
-        "new.json",
-		"You are an AI language model and must return truthful responses as per the information below\n ##Input: Information: Your name is Southampton GPT. You are a helpful and truthful chatbot. You can help answer any questions about Southampton University."
-        + information + question,
-		fn_index=3
-)
-
-    n_conv+=1
-    print(result)
-
-    
-    return result
+    answer=chat_client.predict(
+                    info +information+question, # str  in 'Type an input and press Enter' Textbox component
+                chatbot,
+                fn_index=1
+    )
+    chatbot = answer[1]
+    return answer[1][0][1]
 
 
 demo = gr.Interface(main,"text","text")