Update utils.py

utils.py

@@ -29,7 +29,6 @@ import re
 #os.environ["TOGETHER_API_KEY"] = "6101599d6e33e3bda336b8d007ca22e35a64c72cfd52c2d8197f663389fc50c5"
 os.environ["OPENAI_API_KEY"]   = "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"
 os.environ["LANGCHAIN_TRACING_V2"] = "true"
-os.environ["LANGCHAIN_ENDPOINT"]= "https://api.smith.langchain.com"
 
 client = Client()
 
@@ -199,7 +198,7 @@ def get_gpt_response(transcription_path, query):
         | StrOutputParser()
     )
     llm_output = rag_chain.invoke(query)
-    dataset    = client.create_dataset(dataset_name="Sample LLM dataset", description="A dataset with LLM inputs and outputs", data_type="llm")
+    dataset    = llm.create_dataset(dataset_name="Sample LLM dataset", description="A dataset with LLM inputs and outputs", data_type="llm")
 
     client.create_example(
       inputs={"input": query},
@@ -215,7 +214,7 @@ def get_gpt_response(transcription_path, query):
        dataset_name="Sample LLM dataset",
        llm_or_chain_factory=rag_chain,
        evaluation=evaluation_config,
-       client=client,
+       client=llm,
     )
     print("Eval output!!!!")
     print(eval_output)