Reverted to use Davinci

app.py

@@ -1,6 +1,6 @@
 from llama_index import Document, SimpleDirectoryReader, GPTListIndex, GPTSimpleVectorIndex, LLMPredictor, PromptHelper, ServiceContext
 from llama_index import download_loader
-from langchain.chat_models import ChatOpenAI
+from langchain import OpenAI
 from pathlib import Path
 import gradio as gr
 import sys
@@ -10,9 +10,6 @@ dataFiles = ["RetroApril","RetroMarch", "Snowflake", "Datadog", "Databricks", "S
 
 cache = {}
 
-prompt_helper = PromptHelper(4096, 256, 20)
-llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo"))
-service_context = ServiceContext.from_defaults(llm_predictor=llm_predictor, prompt_helper=prompt_helper)
 
 def indexFile(filePath):
     PandasCSVReader = download_loader("PandasCSVReader")
@@ -37,7 +34,7 @@ def chatbot(indexName, input_text):
     Chatbot function that takes in a prompt and returns a response
     """
     index = cache[indexName]
-    response = index.query(input_text, response_mode="compact", service_context=service_context)
+    response = index.query(input_text, response_mode="compact")
     return response.response