Update app.py

app.py

@@ -4,6 +4,7 @@ import requests
 import inspect
 import pandas as pd
 
+import asyncio
 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
@@ -30,9 +31,21 @@ class BasicAgent:
             llm=self.llm,
         )
     def __call__(self, question: str) -> str:
+        fixed_answer = ''
+         # Wrap async run in synchronous call
+        loop = asyncio.get_event_loop()
+        if loop.is_running():
+            # Use nest_asyncio for notebooks / interactive environments
+            import nest_asyncio
+            nest_asyncio.apply()
+            fixed_answer = loop.run_until_complete(self.llamaindex_agent.run(question))
+        else:
+            fixed_answer = loop.run_until_complete(self.llamaindex_agent.run(question))
+
+            
         print(f"Agent received question (first 50 chars): {question[:50]}...")
         #fixed_answer = "This is a default answer."
-        fixed_answer = self.llamaindex_agent.run(question)
+        #fixed_answer = self.llamaindex_agent.run(question)
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer