Update app.py

app.py

@@ -33,48 +33,6 @@ class BasicAgent:
 class NewAgent:
     def __init__(self):
         print("NewAgent initialized.")
-        # # Initialize the web search tool
-        # search_tool = DuckDuckGoSearchRun()
-        # # Initialize the Hub stats tool
-        # hub_stats_tool = Tool(
-        #     name="get_hub_stats",
-        #     func=get_hub_stats,
-        #     description="Fetches the most downloaded model from a specific author on the Hugging Face Hub."
-        # )
-        # # Generate the chat interface, including the tools
-        # tools = [
-        #     search_tool,
-        #     # weather_info_tool,
-        #     hub_stats_tool,
-        # ]
-        # llm = ChatOpenAI(model="gpt-4o")
-        # llm_with_tools = llm.bind_tools(tools, parallel_tool_calls=False)
-        
-        # # Generate the AgentState and Agent graph
-        # class AgentState(TypedDict):
-        #     messages: Annotated[list[AnyMessage], add_messages]
-        # def assistant(state: AgentState):
-        #     sys_msg = SystemMessage(content=f"You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.")
-        #     return {
-        #         "messages": [llm_with_tools.invoke([sys_msg] + state["messages"])],
-        #     }
-            
-        # ## The graph
-        # builder = StateGraph(AgentState)
-        # # Define nodes: these do the work
-        # builder.add_node("assistant", assistant)
-        # builder.add_node("tools", ToolNode(tools))
-        # # Define edges: these determine how the control flow moves
-        # builder.add_edge(START, "assistant")
-        # builder.add_conditional_edges(
-        #     "assistant",
-        #     # If the latest message requires a tool, route to tools
-        #     # Otherwise, provide a direct response
-        #     tools_condition,
-        # )
-        # builder.add_edge("tools", "assistant")
-        # alfred = builder.compile()
-
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
         
@@ -92,7 +50,8 @@ class NewAgent:
             # weather_info_tool,
             hub_stats_tool,
         ]
-        llm = ChatOpenAI(model="gpt-4o")
+        # llm = ChatOpenAI(model="gpt-4o")
+        llm = ChatOpenAI(model="gpt-4.1")
         llm_with_tools = llm.bind_tools(tools, parallel_tool_calls=False)
         
         # Generate the AgentState and Agent graph