Update app.py

app.py

@@ -5,7 +5,9 @@ from utils import google_search,split_text_into_chunks,insert_embeddings_into_pi
 from fastapi import FastAPI, File, UploadFile
 from fastapi.responses import JSONResponse
 import docx
-import fitz 
+import fitz
+import asyncio
+from google import genai 
 load_dotenv()
 
 CX = os.getenv("SEARCH_ENGINE_ID")
@@ -75,19 +77,28 @@ async def upload_file(user_id,file: UploadFile = File(...)):
 
 
 
-
 @app.get("/ask")
-def ask_ai_about_resume(query,user_id):
-    context = query_vector_database(query=query,api_key=PINECONE_API_KEY,name_space=user_id)
-    from google import genai
-
+def ask_ai_about_resume(query, user_id):
+    # Retrieve context from your vector database
+    context = query_vector_database(query=query, api_key=PINECONE_API_KEY, name_space=user_id)
+    
+    # Ensure that an event loop is present in this thread.
+    try:
+        loop = asyncio.get_event_loop()
+    except RuntimeError:
+        loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(loop)
+    
+    # Create the Gemini client after the event loop is set up
     client = genai.Client(api_key=GEMINI_API_KEY)
+    
     response = client.models.generate_content(
-        model="gemini-2.0-flash", contents=f"""
-        Answer this question using the context provided
+        model="gemini-2.0-flash", 
+        contents=f"""
+        Answer this question using the context provided:
         question: {query}
         context: {context}
         """
     )
     
-    return response.text
+    return response.text