update

app.py

@@ -4,6 +4,13 @@ import requests
 import inspect
 import pandas as pd
 
+import os
+import asyncio
+from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
+from llama_index.tools.arxiv import ArxivToolSpec
+from llama_index.core.agent.workflow import AgentWorkflow
+from llama_index.core.tools import FunctionTool
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -12,13 +19,31 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
+        llm = HuggingFaceInferenceAPI(
+            model_name="Qwen/Qwen2.5-Coder-32B-Instruct",
+        )
+
+        self.agent = AgentWorkflow.from_tools_or_functions(
+            [
+                *ArxivToolSpec().to_tool_list(),
+            ],
+            llm=llm,
+        )
+
         print("BasicAgent initialized.")
+
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
+
+        fixed_answer = asyncio.run(self.generate_answer(question))
+
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
+    async def generate_answer(self, question: str) -> str:
+        response = await self.agent.run(question)
+        return response
+
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,