added agent

app.py

@@ -10,13 +10,36 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+from llama_index.tools.duckduckgo import DuckDuckGoSearchToolSpec
+from llama_index.core.tools import FunctionTool
+from llama_index.core.agent.workflow import AgentWorkflow
+from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
+from llama_index.tools.wikipedia import WikipediaToolSpec
+
+# Initialize the Hugging Face model
+llm = HuggingFaceInferenceAPI(model_name="Qwen/Qwen2.5-Coder-32B-Instruct")
+
+# Initialize the DuckDuckGo search tool
+tool_spec = DuckDuckGoSearchToolSpec()
+search_tool = FunctionTool.from_defaults(tool_spec.duckduckgo_full_search)
+# Initialize the wikipedia  tool
+wiki_spec = WikipediaToolSpec()
+wiki_tools = wiki_spec.to_tool_list()
+
 class BasicAgent:
     def __init__(self):
         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."
-        print(f"Agent returning fixed answer: {fixed_answer}")
+        # fixed_answer = "This is a default answer."
+        # print(f"Agent returning fixed answer: {fixed_answer}")
+        # Create agent with all the tools
+        agent = AgentWorkflow.from_tools_or_functions(
+            [search_tool] + wiki_tools,
+            llm=llm
+        )
+        # Example query agent might receive during the gala
+        fixed_answer = await agent.run(question)
         return fixed_answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):