Update app.py

app.py

@@ -4,14 +4,10 @@ import requests
 import inspect
 import pandas as pd
 
-# Rulo copycat
-from smolagents import(
-    ToolCallingAgent, 
-    CodeAgent,
-    DuckDuckGoSearchTool, 
-    InferenceClientModel, 
-    HfApiModel, 
-)
+# rulo additionally
+from langchain_core.messages import HumanMessage
+from agent import build_graph
+
 # Rulo
 
 # (Keep Constants as is)
@@ -20,33 +16,27 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WHERE YOU CAN BUILD WHAT YOU WANT ------
+
 class BasicAgent:
+    """A LangGraph agent"""
     def __init__(self):
-        #rulo copycat
-        self.model = HfApiModel(
-            max_tokens=150,
-            temperature=0.3,
-            model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
-        )
-        self.agent = ToolCallingAgent(
-            tools=[DuckDuckGoSearchTool()], 
-            model=self.model,
-            add_base_tools=True
-        )
-        #rulo
-        
         print("BasicAgent initialized.")
+        #rulo
+        self.graph = build_graph()
         
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        #fixed_answer = "This is a default answer."
         #rulo
-        fixed_answer = self.agent.run(question)
+        # Wrap the question in a HumanMessage from langchain_core
+        messages = [HumanMessage(content=question)]
+        messages = self.graph.invoke({"messages": messages})
+        answer = messages['messages'][-1].content
+        
+        print(f"answer: {answer}") #rulo 
+        return answer[14:]
         #rulo
         
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
-
+        
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,