Update app.py

app.py

@@ -10,6 +10,7 @@ from llama_index.core.agent.workflow import AgentWorkflow
 from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
 from youtube_tool import youtube_transcript_tool, youtube_transcript_snippet_tool
 from multiple_tools import round_to_two_decimals_tool, text_inverter_tool, google_web_search_tool, wikipedia_search_tool
+from agent import smart_agent
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -22,15 +23,6 @@ class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
         self.api_key = os.getenv("HF_TOKEN")
-        self.llm = HuggingFaceInferenceAPI(
-            model_name="deepseek-ai/DeepSeek-R1-0528", 
-            token=self.api_key,
-            provider="auto"
-            )
-        self.llamaindex_agent = AgentWorkflow.from_tools_or_functions(
-            [wikipedia_search_tool, youtube_transcript_tool, youtube_transcript_snippet_tool, round_to_two_decimals_tool, text_inverter_tool, google_web_search_tool],
-            llm=self.llm,
-        )
 
     async def run(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
@@ -39,7 +31,8 @@ class BasicAgent:
         return answer
         
     def __call__(self, question: str) -> str:
-        return self.run(question)
+        #return self.run(question)
+        return asyncio.run(smart_agent(question, self.api_key))
         #print(f"Agent received question (first 50 chars): {question[:50]}...")
         #fixed_answer = "This is a default answer."
         #fixed_answer = self.llamaindex_agent.run(question)