update

.gitignore

@@ -10,3 +10,4 @@ service/__pycache__/
 frontend/__pycache__/
 pk/
 badcase.txt
+config.bak

config.ini

@@ -1,36 +1,31 @@
-
-
-
-
 [feature_store]
 reject_throttle = 767.0
 # text2vec model path, support local relative path and huggingface model format
-model_path = "../models/text2vec-large-chinese"
+model_path = "shibing624/text2vec-base-chinese"
 work_dir = "workdir"
 
 [web_search]
 # check https://serper.dev/api-key to get a free API key
-x_api_key = "aa3da0cd69c5a2df7c0b664dc8a4c118de532405"
+x_api_key = "${YOUR-API-KEY}"
 domain_partial_order = ["openai.com", "pytorch.org", "readthedocs.io", "nvidia.com", "stackoverflow.com", "juejin.cn", "zhuanlan.zhihu.com", "www.cnblogs.com"]
 save_dir = "logs/web_search_result"
 
 [llm]
-# enable local/remote LLM or not
 enable_local = 1
 enable_remote = 0
 # hybrid llm service address
-# client_url = "http://10.140.24.142:39999/inference"
-client_url = "http://10.140.24.142:39999/inference"
+client_url = "http://127.0.0.1:8888/inference"
 
 [llm.server]
 # local LLM configuration
+# support "internlm2-7B", "internlm2-20B" and "internlm2-70B"
 local_llm_path = "/internlm/ampere_7b_v1_7_0"
 local_llm_max_text_length = 16000
 
 # remote LLM service configuration
 # support any python3 openai interface, such as "gpt", "kimi" and so on
 remote_type = "kimi"
-remote_api_key = "Y2tpMG41dDB0YzExbjRqYW5nN2c6bXNrLTFzVlB2NGJRaDExeWdnNTlZY3dYMm5mcVRpWng="
+remote_api_key = "${YOUR-API-KEY}"
 # max text length for remote LLM. for example, use 128000 for kimi, 192000 for gpt
 remote_llm_max_text_length = 128000
 # openai model type. use "moonshot-v1-128k" for kimi, "gpt-4" for gpt
@@ -48,7 +43,7 @@ has_weekday = 1
 
 [sg_search]
 binary_src_path = "/usr/local/bin/src"
-src_access_token = "sgp_636f79ad2075640f_3ef2a135579615403e29b88d4402f1e6183ad347"
+src_access_token = "${YOUR-SRC-ACCESS-TOKEN}"
 
 # add your repo here, we just take opencompass and lmdeploy as example
 [sg_search.opencompass]
@@ -61,7 +56,7 @@ introduction = "lmdeploy 是一个用于压缩、部署和服务 LLM（Large Lan
 
 [frontend]
 # chat group type, support "lark" and "none"
-# check https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot to add bot
+# check https://open.feishu.cn/document/client-docs/bot-v3/add-custom-bot to add lark bot
 type = "none"
 # char group webhook url, send reply to group
-webhook_url = "https://open.feishu.cn/open-apis/bot/v2/hook/7a5d3d98-fdfd-40f8-b8de-851cb7e81e5c"
+webhook_url = "https://open.feishu.cn/open-apis/bot/v2/hook/7a5d3d98-fdfd-40f8-b8de-851cb7e81e5c"