Upload app.py

app.py

@@ -12,21 +12,20 @@ import re
 import os
 from sklearn.metrics.pairwise import cosine_similarity
 
-"""
-model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-mpnet-base-v2',device='cpu')
-
-llm = LlamaCpp(
-    model_path=r"C:\Users\Cora\.cache\lm-studio\models\YC-Chen\Breeze-7B-Instruct-v1_0-GGUF\breeze-7b-instruct-v1_0-q4_k_m.gguf",
-    n_gpu_layers=100,
-    n_batch=512,
-    n_ctx=3000,
-    f16_kv=True,
-    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),
-    verbose=False,
-)
-embedd_bk=pd.read_pickle(r"C:\Users\Cora\推薦系統實作\bk_description1_角色形容詞_677.pkl")
-df_bk=pd.read_excel(r"C:\Users\Cora\推薦系統實作\bk_description1_角色形容詞.xlsx")
-"""
+#model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-mpnet-base-v2',device='cpu')
+#
+#llm = LlamaCpp(
+#    model_path=r"C:\Users\Cora\.cache\lm-studio\models\YC-Chen\Breeze-7B-Instruct-v1_0-GGUF\breeze-7b-instruct-v1_0-q4_k_m.gguf",
+#    n_gpu_layers=100,
+#    n_batch=512,
+#    n_ctx=3000,
+#    f16_kv=True,
+#    callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]),
+#    verbose=False,
+#)
+#embedd_bk=pd.read_pickle(r"C:\Users\Cora\推薦系統實作\bk_description1_角色形容詞_677.pkl")
+#df_bk=pd.read_excel(r"C:\Users\Cora\推薦系統實作\bk_description1_角色形容詞.xlsx")
+
 llm = None
 model = None
 embedd_bk = None