adding verbose output

app.py

@@ -51,7 +51,7 @@ def create_agent(llm: ChatOpenAI, tools: list, task: str):
         ]
     )
     agent = create_openai_tools_agent(llm, tools, prompt)
-    executor = AgentExecutor(agent=agent, tools=tools)
+    executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
     return executor
 
 # AIMessage will have all kinds of metadata, so treat it all as HumanMessage I suppose?
@@ -90,7 +90,8 @@ workflow.add_edge("EDA", END)
 graph = workflow.compile()
 
 def greet(name):
-    return graph.invoke({"messages": [HumanMessage(content="Run the analysis")]})
+    resp = graph.invoke({"messages": [HumanMessage(content="Run the analysis")]})
+    return resp['messages']
 
 demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 demo.launch()