Update app.py

app.py

@@ -33,7 +33,50 @@ 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]}...")
         
         # Initialize the web search tool
         search_tool = DuckDuckGoSearchRun()
@@ -76,12 +119,7 @@ class NewAgent:
         )
         builder.add_edge("tools", "assistant")
         alfred = builder.compile()
-
-    def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        # fixed_answer = "This is a default answer."
-        # print(f"Agent returning fixed answer: {fixed_answer}")
-        # return fixed_answer
+        
         messages = [HumanMessage(content=question)]
         response = alfred.invoke({"messages": messages})