test

app.py

@@ -14,19 +14,21 @@ class RepoSearch:
     def __init__(self):
 
         # db_path = os.path.join(root_path, "database", "faiss_index")
-        db_path = root_path
-        embeddings = OpenAIEmbeddings(api_key="sk-Mo5K9m2hKXjV1DeGeBAIzXLZFxxiOTvSwUoemKmfMXdmE9Bs", 
-                              base_url="https://api.wlai.vip/v1",
-                              model="text-embedding-3-small")
         
-        assert os.path.exists(db_path), f"Database not found: {db_path}"
-        self.vector_db = FAISS.load_local(db_path, embeddings, 
-                                          allow_dangerous_deserialization=True)
+        # db_path = root_path
+        # embeddings = OpenAIEmbeddings(api_key="sk-Mo5K9m2hKXjV1DeGeBAIzXLZFxxiOTvSwUoemKmfMXdmE9Bs", 
+        #                       base_url="https://api.wlai.vip/v1",
+        #                       model="text-embedding-3-small")
+        
+        # assert os.path.exists(db_path), f"Database not found: {db_path}"
+        # self.vector_db = FAISS.load_local(db_path, embeddings, 
+        #                                   allow_dangerous_deserialization=True)
         
     def search(self, query, k=10):
         '''
             name + description + html_url + topics
         '''
+        return "sss"
         results = self.vector_db.similarity_search(query + " technology", k=k)
 
         simple_str = ""