Upload app.py with huggingface_hub

app.py

@@ -120,13 +120,7 @@ llm = ChatOpenAI(
     timeout=None,
     max_retries=5,
     api_key="gl-U2FsdGVkX1/DTLQlsmj+RdJjPy3igB9qINuaX940XtJ0CPnGc/5sbBkPKah/C829",  # if you prefer to pass api key in directly instaed of using env vars
-    base_url="https://aibe.mygreatlearning.com/openai/v1",
-    streaming=False
-)
-
-client = OpenAI(
-    api_key="gl-U2FsdGVkX1/DTLQlsmj+RdJjPy3igB9qINuaX940XtJ0CPnGc/5sbBkPKah/C829",
-    base_url="https://aibe.mygreatlearning.com/openai/v1",
+    base_url="https://aibe.mygreatlearning.com/openai/v1"
 )
 
 
@@ -218,11 +212,10 @@ retriever = vector_store.as_retriever(
     search_kwargs={'k': 5}
 )
 
-# client = OpenAI(
-#     api_key=api_key,
-#     base_url=endpoint,
-#     streaming=False
-# )
+client = OpenAI(
+    api_key=api_key,
+    base_url=endpoint
+)
 
 @tool
 def rag(user_input: str) -> str:
@@ -540,6 +533,7 @@ def chatbot_interface():
 
             try:
                 # Pass the history to the agent
+                # response = agent_executor.invoke({"input": conversation_input})
                 response = agent_executor.invoke({"input": conversation_input})
                 # Add the chatbot's response to the history
                 chatbot_response = response['output']