revert to 3.5

app.py

@@ -16,7 +16,7 @@ chunk_size_limit = 600
 
 def construct_index():
     prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
-    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.1, model_name="gpt-4-32k", max_tokens=num_outputs))
+    llm_predictor = LLMPredictor(llm=ChatOpenAI(temperature=0.1, model_name="gpt-3.5-turbo-16k", max_tokens=num_outputs))
     documents = SimpleDirectoryReader(
         snapshot_download(
         repo_id="bmaltan/bugra-gpt-dataset",