diff --git a/app/service/search_image_with_text/service.py b/app/service/search_image_with_text/service.py
index edd4d93..36a86a8 100644
--- a/app/service/search_image_with_text/service.py
+++ b/app/service/search_image_with_text/service.py
@@ -6,8 +6,6 @@ from chromadb.config import Settings
 from chromadb.utils.embedding_functions.ollama_embedding_function import OllamaEmbeddingFunction
 from tqdm import tqdm
 
-from app.core.config import OLLAMA_URL
-
 # 读取 csv 文件
 # csv_file_path = r'D:/Files/csv/output/output.csv'
 # image_path = r'D:/images-clean'
@@ -20,7 +18,7 @@ client = chromadb.Client(Settings(is_persistent=True, persist_directory="/vector
 # client = chromadb.Client(Settings(is_persistent=True, persist_directory="D:/workspace/AiDLab/vector_db"))
 # 创建集合
 # embedding_fn = OllamaEmbeddingFunction(url="http://localhost:11434/api/embeddings", model_name="mxbai-embed-large")
-embedding_fn = OllamaEmbeddingFunction(url=OLLAMA_URL, model_name="mxbai-embed-large")
+embedding_fn = OllamaEmbeddingFunction(url="http://10.1.1.240:11434/api/embeddings", model_name="mxbai-embed-large")
 
 
 # def create_collection():
@@ -69,7 +67,7 @@ embedding_fn = OllamaEmbeddingFunction(url=OLLAMA_URL, model_name="mxbai-embed-l
 def query(gender, content):
     collection = client.get_collection("sub_sketches_description", embedding_function=embedding_fn)
     # 6. 查询相似内容
-    user_gender = gender.lower()  # 用户输入的性别
+    user_gender = gender  # 用户输入的性别
     user_content = content  # 用户输入的内容
 
     results = collection.query(