Complete upgrade to Open AI

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 from langchain.agents.agent_types import AgentType
 from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent
 
-from langchain_openai import AzureChatOpenAI, ChatOpenAI
+from langchain_openai import ChatOpenAI
 
 from sklearn.datasets import fetch_openml
 
@@ -14,14 +14,6 @@ gpt35 = ChatOpenAI(
     temperature=0
 )
 
-#gpt35 = AzureChatOpenAI(
-#    api_key=os.environ["AZURE_OPENAI_KEY"],
-#    azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"],
-#    api_version="2023-05-15",
-#    deployment_name="gpt-35-turbo",
-#    temperature=0
-#)
-
 bank_data, _ = fetch_openml(data_id=43718, return_X_y=True, parser="auto")
 
 pandas_agent = create_pandas_dataframe_agent(
@@ -79,7 +71,7 @@ interface = gr.Interface(
               ["How many customers have defaulted on loans?", ""],
               ["Do customers who default maintain a low balance?", ""]
              ],
-    concurrency_limit=16
+    concurrency_limit=8
 )
 
 with gr.Blocks() as demo: