add global var

app.py

@@ -59,6 +59,8 @@ def rag_with_reranking(query : str):
 @app.get("/search")
 def search_text(query):
     """Searches for similar texts."""
+    global reranker_model, embedding
+    
     print(f"Searching for: {query}")
     if not reranker_model:
         reranker_model = HuggingFaceCrossEncoder(model_name="BAAI/bge-reranker-v2-m3")
@@ -68,7 +70,7 @@ def search_text(query):
         print("embedding model loaded")
 
     results = rag_with_reranking(query)
-    
+
     lst = []
     for doc in results:
         lst.append(doc.page_content)