Update app.py

app.py

@@ -3,7 +3,8 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from langchain_community.tools import DuckDuckGoSearchRun
+from langchain_core.messages import HumanMessage
+from agent import build_graph
 
 
 # (Keep Constants as is)
@@ -13,20 +14,22 @@ user_name = "rahulraj42"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
 class BasicAgent:
+    """A langgraph agent."""
     def __init__(self):
-        print(f"{user_name}")
         print("BasicAgent initialized.")
+        self.graph = build_graph()
+
     def __call__(self, question: str) -> str:
-        print(f"{user_name}")
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        search_tool = DuckDuckGoSearchRun()
-        results = search_tool.invoke(f"{question}")
-        # print(results)
-        # fixed_answer = "This is a default answer."
-        # print(f"Agent returning fixed answer: {fixed_answer}")
-        print(f"Agent returning fixed answer: {results}")
-        return results
+        # Wrap the question in a HumanMessage from langchain_core
+        messages = [HumanMessage(content=question)]
+        messages = self.graph.invoke({"messages": messages})
+        answer = messages['messages'][-1].content
+        return answer[14:]
+
+
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -38,7 +41,6 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     if profile:
         username= f"{profile.username}"
-        print(f"{user_name}")
         print(f"User logged in: {username}")
     else:
         print(f"{user_name}")