Update utils.py

utils.py

@@ -198,7 +198,7 @@ def get_gpt_response(transcription_path, query, logger):
         | StrOutputParser()
     )
     llm_output = rag_chain.invoke(query)
-    dataset    = llm.create_dataset(dataset_name="Sample LLM dataset", description="A dataset with LLM inputs and outputs", data_type="llm")
+    dataset    = client.create_dataset(dataset_name="Sample LLM dataset", description="A dataset with LLM inputs and outputs", data_type="llm")
 
     client.create_example(
       inputs={"input": query},
@@ -214,7 +214,7 @@ def get_gpt_response(transcription_path, query, logger):
        dataset_name="Sample LLM dataset",
        llm_or_chain_factory=rag_chain,
        evaluation=evaluation_config,
-       client=llm,
+       client=client,
     )
     logger.info("Eval output!!!!")
     logger.info(eval_output)