added @tool

app.py

@@ -1,6 +1,7 @@
 from typing import TypedDict, Annotated
 from langgraph.graph.message import add_messages
 from langchain_core.messages import AnyMessage, HumanMessage, AIMessage, SystemMessage
+from langchain_core.tools import tool
 from langgraph.prebuilt import ToolNode
 from langgraph.graph import START, StateGraph
 from langgraph.prebuilt import tools_condition
@@ -32,15 +33,16 @@ chat = ChatOllama(model="qwen2:7b",
 
 # Define available tools
 tools = [
-        load_guest_dataset, 
-        search_tool, 
+#        load_guest_dataset, 
+#        search_tool, 
         weather_info_tool, 
-        hub_stats_tool
+#        hub_stats_tool
         ]
 
 # Bind tools to the chat model
 chat_with_tools = chat.bind_tools(tools)
 
+toolnode =ToolNode(Tools)
 # Generate the AgentState and Agent graph
 class AgentState(TypedDict):
     messages: Annotated[list[AnyMessage], add_messages]
@@ -62,7 +64,7 @@ builder = StateGraph(AgentState)
 
 # Define nodes: these do the work
 builder.add_node("assistant", assistant)
-builder.add_node("tools", ToolNode(tools))
+builder.add_node("tools", toolnode)
 
 # Define edges: these determine how the control flow moves
 builder.add_edge(START, "assistant")
@@ -102,4 +104,4 @@ with gr.Blocks() as demo:
     send_btn.click(fn=chat_fn, inputs=[msg, chatbot], outputs=[chatbot, msg])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()

tools.py

@@ -7,7 +7,7 @@ from langchain.tools import Tool
 
 
 search_tool = DuckDuckGoSearchRun()
-
+@tool
 def get_weather_info(location: str) -> str:
     """Fetches dummy weather information for a given location."""
     # Dummy weather data