Update app.py

first pass with websearch

app.py

@@ -3,6 +3,15 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from langchain_core.tools import tool
+from langchain_core.messages import add_message
+from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
+from langchain_community.tools import DuckDuckGoSearchRun
+from typing import TypedDict, Annotated
+from langgraph.graph.message import add_message
+from langgraph.graph import START, StateGraph
+from langgraph.prebuilt import tools_condition
+
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +19,48 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+llm = HuggingFaceEndpoint(
+    repo_id = "Qwen/Qwen2.5-Coder-32B-Instruct",
+        huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
+)
+
+chat = ChatHuggingFace(llm=llm, verbose=True)
+
+search_tool = DuckDuckGoSearchRun()
+
+tools = [search_tool]
+chat_with_tools = chat.bind_tools(tools)
+
+class AgentState(TypedDict):
+    messages:Annotated[list[AnyMessage], add_message]
+
+def assistant(state:AgentState):
+    return {
+        "messages": [chat_with_tools.invoke(state["messages"])]
+    }
+
+# Graph
+builder = StateGraph(AgentState)
+# Graph Nodes
+builder.add_node("assistant", assistant)
+builder.add_node("tools", ToolNode(toools))
+#Graph Edges
+builder.add_edge(START, "assistant")
+builder.add_conditional_edges(
+    "assistant",
+    tools_condition
+)
+builder.add_edge("tools", "assistant")
+my_agent = builder.complie()
+
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
     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
+        response = my_agent.invoke({"messages": messages})
+        
+        return response
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """