update model and N

app.py

@@ -27,7 +27,7 @@ def pdf_changes(pdf_doc):
     retriever = db.as_retriever()
     global qa 
     qa = ConversationalRetrievalChain.from_llm(
-        llm=OpenAI(temperature=0.2),  
+        llm=OpenAI(temperature=0.2, model_name="gpt-3.5-turbo", max_tokens=-1, n=2),  
         retriever=retriever, 
         return_source_documents=False)
     return "Ready"
@@ -45,7 +45,8 @@ def add_text(history, text):
 
 def bot(history):
     response = infer(history[-1][0], history)
-    formatted_response = "**Bot:**  \n" + '  \n'.join(response.split('. '))
+    sentences = '  \n'.join(response.split('. '))
+    formatted_response = f"**Bot:**\n\n{sentences}"
     history[-1][1] = formatted_response
     return history
 
@@ -57,7 +58,7 @@ def infer(question, history):
     
     chat_history = res
     query = question
-    result = qa({"question": query, "chat_history": chat_history})
+    result = qa({"question": query, "chat_history": chat_history, "system:": "This is a world-class summarizing AI, be helpful."})
     return result["answer"]
 
 def auto_clear_data():
@@ -110,4 +111,4 @@ with gr.Blocks(css=css) as demo:
         bot, chatbot, chatbot
     )
 
-demo.launch()
+demo.launch()