Update app.py

app.py

@@ -3,8 +3,10 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from langchain_core.messages import HumanMessage
+
+from langgraph_agent import react_agent
 
-from my_agent import agent
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -15,11 +17,18 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
-    def __call__(self, question: str) -> str:
+    def __call__(self, question: str, file_path: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        agent_response = agent.run(question)
+        #agent_response = agent.run(question)
+        config = {"configurable": {}}
+        if file_path:
+            config = {"configurable": {"file_path": file_path}}
+        messages = [HumanMessage(content=f"{question}")]
+        agent_response = react_agent.invoke({"messages": messages}, config=config, debug=True)
+        agent_response = agent_response["messages"][-1].content
+        agent_response = agent_response.strip()
         print(f"Agent returning fixed answer: {agent_response}")
-        return str(agent_response).strip()
+        return agent_response
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -112,7 +121,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            submitted_answer = agent(question_text)
+            submitted_answer = agent(question_text, file_path)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e: