fix event loop conflict

test.py

@@ -1,11 +1,10 @@
 import os
 from lightrag import LightRAG, QueryParam
 from lightrag.llm import gpt_4o_mini_complete, gpt_4o_complete
-from pprint import pprint
 #########
 # Uncomment the below two lines if running in a jupyter notebook to handle the async nature of rag.insert()
-# import nest_asyncio 
-# nest_asyncio.apply() 
+# import nest_asyncio
+# nest_asyncio.apply()
 #########
 
 WORKING_DIR = "./dickens"
@@ -15,7 +14,7 @@ if not os.path.exists(WORKING_DIR):
 
 rag = LightRAG(
     working_dir=WORKING_DIR,
-    llm_model_func=gpt_4o_mini_complete  # Use gpt_4o_mini_complete LLM model
+    llm_model_func=gpt_4o_mini_complete,  # Use gpt_4o_mini_complete LLM model
     # llm_model_func=gpt_4o_complete  # Optionally, use a stronger model
 )
 
@@ -23,13 +22,21 @@ with open("./book.txt") as f:
     rag.insert(f.read())
 
 # Perform naive search
-print(rag.query("What are the top themes in this story?", param=QueryParam(mode="naive")))
+print(
+    rag.query("What are the top themes in this story?", param=QueryParam(mode="naive"))
+)
 
 # Perform local search
-print(rag.query("What are the top themes in this story?", param=QueryParam(mode="local")))
+print(
+    rag.query("What are the top themes in this story?", param=QueryParam(mode="local"))
+)
 
 # Perform global search
-print(rag.query("What are the top themes in this story?", param=QueryParam(mode="global")))
+print(
+    rag.query("What are the top themes in this story?", param=QueryParam(mode="global"))
+)
 
 # Perform hybrid search
-print(rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid")))
+print(
+    rag.query("What are the top themes in this story?", param=QueryParam(mode="hybrid"))
+)