update cli_demo.py

cli_demo.py

 from configs.model_config import *
-import datetime
 from chains.local_doc_qa import LocalDocQA
 
 # return top-k text chunk from vector store

configs/model_config.py

@@ -6,11 +6,10 @@ embedding_model_dict = {
     "ernie-tiny": "nghuyong/ernie-3.0-nano-zh",
     "ernie-base": "nghuyong/ernie-3.0-base-zh",
     "text2vec": "GanymedeNil/text2vec-large-chinese",
-    "local": "/Users/liuqian/Downloads/ChatGLM-6B/text2vec-large-chinese"
 }
 
 # Embedding model name
-EMBEDDING_MODEL = "local"#"text2vec"
+EMBEDDING_MODEL = "text2vec"
 
 # Embedding running device
 EMBEDDING_DEVICE = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"
@@ -20,11 +19,10 @@ llm_model_dict = {
     "chatglm-6b-int4-qe": "THUDM/chatglm-6b-int4-qe",
     "chatglm-6b-int4": "THUDM/chatglm-6b-int4",
     "chatglm-6b": "THUDM/chatglm-6b",
-    "local": "/Users/liuqian/Downloads/ChatGLM-6B/chatglm-6b"
 }
 
 # LLM model name
-LLM_MODEL = "local"#"chatglm-6b"
+LLM_MODEL = "chatglm-6b"
 
 # LLM running device
 LLM_DEVICE = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"