Update app.py

app.py

@@ -3,19 +3,6 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from langchain_community.chat_models import ChatOllama
-from langchain_community.tools import DuckDuckGoSearchRun
-from langchain.agents import Tool, AgentExecutor, initialize_agent
-from langchain.agents.agent_types import AgentType
-from langchain.prompts.chat import SystemMessagePromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate
-from langchain_huggingface import HuggingFaceEndpoint
-from huggingface_hub import login
-from langchain.llms import HuggingFaceHub
-from agent import build_agent
-from langchain_core.messages import HumanMessage
-
-
-
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -53,8 +40,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-     # llm = ChatOllama(model="llama3.1")
-        agent = build_agent()
+        agent = BasicAgent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -94,9 +80,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            input_state = {"messages": question_text}
-            answer = agent.invoke(input_state)
-            submitted_answer = answer['messages'][-1].content
+            submitted_answer = agent(question_text)
             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: