Add agent with multiple tools

app.py

@@ -3,6 +3,16 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from llama_index.core.schema import Document
+from llama_index.core.tools import FunctionTool
+from llama_index.retrievers.bm25 import BM25Retriever
+from llama_index.core.agent.workflow import AgentWorkflow
+from llama_index.llms.openai import OpenAI
+from llama_index.tools.duckduckgo import DuckDuckGoSearchToolSpec
+from llama_index.core.tools import FunctionTool
+from huggingface_hub import list_models
+import random
+import asyncio
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,8 +20,15 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+
+
 class BasicAgent:
     def __init__(self):
+        llm = OpenAI(model="gpt-3.5-turbo", api_key="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")
+        self.agent = AgentWorkflow.from_tools_or_functions(
+            [search_tool],
+            llm=llm,
+        )
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")