pengjunjie/ragflow
1
0
Fork 1
mirror of https://github.com/infiniflow/ragflow.git synced 2025-12-08 20:42:30 +08:00
Code Issues Packages Projects Releases Wiki Activity

add dockerfile and fix trival bugs (#78)

Browse Source
This commit is contained in:
KevinHuSh
2024-02-28 15:01:12 +08:00
committed by GitHub
parent eb517f3106
commit 39269d2f79
14 changed files with 243 additions and 52 deletions
Download Patch File Download Diff File Expand all files Collapse all files

23
api/db/init_data.py
View File

@ -56,21 +56,21 @@ def init_superuser():
"api_key": API_KEY})
if not UserService.save(**user_info):
print("【ERROR】can't init admin.")
print("\033[93m【ERROR】\033[0mcan't init admin.")
return
TenantService.insert(**tenant)
UserTenantService.insert(**usr_tenant)
TenantLLMService.insert_many(tenant_llm)
print("【INFO】Super user initialized. user name: admin, password: admin. Changing the password after logining is strongly recomanded.")
print("【INFO】Super user initialized. \033[93muser name: admin, password: admin\033[0m. Changing the password after logining is strongly recomanded.")
chat_mdl = LLMBundle(tenant["id"], LLMType.CHAT, tenant["llm_id"])
msg = chat_mdl.chat(system="", history=[{"role": "user", "content": "Hello!"}], gen_conf={})
if msg.find("ERROR: ") == 0:
print("【ERROR】: '{}' dosen't work. {}".format(tenant["llm_id"]), msg)
print("\33[91m【ERROR】\33[0m: ", "'{}' dosen't work. {}".format(tenant["llm_id"]), msg)
embd_mdl = LLMBundle(tenant["id"], LLMType.EMBEDDING, tenant["embd_id"])
v,c = embd_mdl.encode(["Hello!"])
v, c = embd_mdl.encode(["Hello!"])
if c == 0:
print("【ERROR】: '{}' dosen't work...".format(tenant["embd_id"]))
print("\33[91m【ERROR】\33[0m:", " '{}' dosen't work!".format(tenant["embd_id"]))
def init_llm_factory():
@ -89,12 +89,13 @@ def init_llm_factory():
"logo": "",
"tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",
"status": "1",
},{
"name": "文心一言",
"logo": "",
"tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",
"status": "1",
},
# {
# "name": "文心一言",
# "logo": "",
# "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",
# "status": "1",
# },
]
llm_infos = [
# ---------------------- OpenAI ------------------------
@ -198,7 +199,7 @@ def init_llm_factory():
"llm_name": "embedding-2",
"tags": "TEXT EMBEDDING",
"max_tokens": 512,
"model_type": LLMType.SPEECH2TEXT.value
"model_type": LLMType.EMBEDDING.value
},
]
for info in factory_infos: