Update app.py

app.py

@@ -3,21 +3,56 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-
+from langchain import hub
+from langchain.agents import AgentExecutor, create_react_agent
+from langchain_core.prompts import PromptTemplate
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
-
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+# Prompt
+template = '''Answer the following questions as best you can. You have access to the following tools:
+
+{tools}
+
+Use the following format:
+
+Question: the input question you must answer
+Thought: you should always think about what to do
+Action: the action to take, should be one of [{tool_names}]
+Action Input: the input to the action
+Observation: the result of the action
+... (this Thought/Action/Action Input/Observation can repeat N times)
+Thought: I now know the final answer
+Final Answer: the final answer to the original input question
+
+Begin!
+Question: {input}
+Thought:{agent_scratchpad}'''
+prompt = PromptTemplate.from_template(template)
+
+# Tools
+search_tool = DuckDuckGoSearchRun()
+tools = [search_tool]
+
+# LLM
+model = HuggingFaceEndpoint(
+    repo_id="Qwen/Qwen2.5-Coder-32B-Instruct",
+    huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
+)
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        self.agent = create_react_agent(model, tools, prompt)
+        self.agent_executor = AgentExecutor(agent = agent, tools = tools)
     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 = self.agent_executor.invoke(
+            "input": question
+        )
+        return response
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """