Upload app.py with huggingface_hub

app.py

@@ -109,7 +109,7 @@ llm = ChatOpenAI(
     max_tokens=None,
     timeout=None,
     max_retries=5,
-    api_key="gl-U2FsdGVkX18sp7bXoOqY9xRQBzgtMEUuYp7dcJgSgn2VFqwm8msMR33hNwJ0XboM",  # if you prefer to pass api key in directly instaed of using env vars
+    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"
 )
 
@@ -521,7 +521,7 @@ def chatbot_interface():
                 [f"{turn['role'].capitalize()}: {turn['content']}" for turn in st.session_state.conversation_history]
             )
 
-            try:
+             try:
                 # Pass the history to the agent
                 # response = agent_executor.invoke({"input": conversation_input})
                 response = agent_executor.invoke({"input": conversation_input})
@@ -538,7 +538,6 @@ def chatbot_interface():
 
             except Exception as e:
                 st.write("Blocked by content policy \n", e )
-              
 
 def main():
     # Check if the user is logged in