Merge pull request #2783 from chatchat-space/dev

解决部分依赖问题
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zR 2024-01-24 17:04:37 +08:00 committed by GitHub
commit d4ab1a69f6
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8 changed files with 88 additions and 84 deletions

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@ -224,6 +224,7 @@ MODEL_PATH = {
"dolly-v2-12b": "databricks/dolly-v2-12b",
"stablelm-tuned-alpha-7b": "stabilityai/stablelm-tuned-alpha-7b",
},
"reranker": {
"bge-reranker-large": "BAAI/bge-reranker-large",
"bge-reranker-base": "BAAI/bge-reranker-base",

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@ -40,8 +40,6 @@ FSCHAT_MODEL_WORKERS = {
"device": LLM_DEVICE,
# False,'vllm',使用的推理加速框架,使用vllm如果出现HuggingFace通信问题参见doc/FAQ
# vllm对一些模型支持还不成熟暂时默认关闭
# fschat=0.2.33的代码有bug, 如需使用源码修改fastchat.server.vllm_worker
# 将103行中sampling_params = SamplingParams的参数stop=list(stop)修改为stop= [i for i in stop if i!=""]
"infer_turbo": False,
# model_worker多卡加载需要配置的参数

@ -1 +1 @@
Subproject commit 2f24adb218f23eab00d7fcd7ccf5072f2f35cb3c
Subproject commit 28f664aa08f8191a70339c9ecbe7a89b35a1032a

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@ -1,61 +1,66 @@
torch~=2.1.2
torchvision~=0.16.2
torchaudio~=2.1.2
xformers~=0.0.23.post1
transformers~=4.36.2
sentence_transformers~=2.2.2
torch==2.1.2
torchvision==0.16.2
torchaudio==2.1.2
xformers==0.0.23.post1
transformers==4.36.2
sentence_transformers==2.2.2
langchain==0.0.354
langchain-experimental==0.0.47
pydantic==1.10.13
fschat~=0.2.35
openai~=1.9.0
fastapi~=0.109.0
sse_starlette~=1.8.2
nltk~=3.8.1
uvicorn~=0.24.0.post1
starlette~=0.32.0
unstructured[all-docs]~=0.12.0
python-magic-bin; sys_platform ~= 'win32'
SQLAlchemy~=2.0.25
faiss-cpu~=1.7.4
accelerate~=0.24.1
spacy~=3.7.2
PyMuPDF~=1.23.16
rapidocr_onnxruntime~=1.3.8
requests~=2.31.0
pathlib~=1.0.1
pytest~=7.4.3
numexpr~=2.8.6
strsimpy~=0.2.1
markdownify~=0.11.6
tiktoken~=0.5.2
tqdm~=4.66.1
websockets~=12.0
numpy~=1.24.4
pandas~=2.0.3
einops~=0.7.0
transformers_stream_generator~=0.0.4
vllm~=0.2.7; sys_platform ~= "linux"
jq~=1.6.0
beautifulsoup4~=4.12.2
pysrt~=1.1.2
dashscope~=1.13.6 # qwen
# volcengine~=1.0.119 # fangzhou
fschat==0.2.35
openai==1.9.0
fastapi==0.109.0
sse_starlette==1.8.2
nltk==3.8.1
uvicorn==0.24.0.post1
starlette==0.35.0
unstructured[all-docs] # ==0.11.8
python-magic-bin; sys_platform == 'win32'
SQLAlchemy==2.0.25
faiss-cpu==1.7.4
accelerate==0.24.1
spacy==3.7.2
PyMuPDF==1.23.16
rapidocr_onnxruntime==1.3.8
requests==2.31.0
pathlib==1.0.1
pytest==7.4.3
numexpr==2.8.6
strsimpy==0.2.1
markdownify==0.11.6
tiktoken==0.5.2
tqdm==4.66.1
websockets==12.0
numpy==1.24.4
pandas==2.0.3
einops==0.7.0
transformers_stream_generator==0.0.4
vllm==0.2.7; sys_platform == "linux"
llama-index==0.9.35
#jq==1.6.0
# beautifulsoup4==4.12.2
# pysrt==1.1.2
# dashscope==1.13.6 # qwen
# volcengine==1.0.119 # fangzhou
# uncomment libs if you want to use corresponding vector store
# pymilvus~=2.3.4
# psycopg2~=2.9.9
# pgvector~=0.2.4
# flash-attn~=2.4.3 # For Orion-14B-Chat and Qwen-14B-Chat
#rapidocr_paddle[gpu]~=1.3.0.post5 # gpu accelleration for ocr of pdf and image files
arxiv~=2.1.0
youtube-search~=2.1.2
duckduckgo-search~=3.9.9
metaphor-python~=0.1.23
streamlit~=1.30.0
streamlit-option-menu~=0.3.12
streamlit-antd-components~=0.3.1
streamlit-chatbox~=1.1.11
streamlit-modal~=0.1.0
streamlit-aggrid~=0.3.4.post3
httpx~=0.26.0
watchdog~=3.0.0
# pymilvus==2.3.4
# psycopg2==2.9.9
# pgvector==0.2.4
#flash-attn==2.4.2 # For Orion-14B-Chat and Qwen-14B-Chat
#autoawq==0.1.8 # For Int4
#rapidocr_paddle[gpu]==1.3.11 # gpu accelleration for ocr of pdf and image files
arxiv==2.1.0
youtube-search==2.1.2
duckduckgo-search==3.9.9
metaphor-python==0.1.23
streamlit==1.30.0
streamlit-option-menu==0.3.12
streamlit-antd-components==0.3.1
streamlit-chatbox==1.1.11
streamlit-modal==0.1.0
streamlit-aggrid==0.3.4.post3
httpx==0.26.0
watchdog==3.0.0
jwt==1.3.1

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@ -9,11 +9,11 @@ langchain-experimental==0.0.47
pydantic==1.10.13
fschat==0.2.35
openai~=1.9.0
fastapi~=0.108.0
fastapi~=0.109.0
sse_starlette==1.8.2
nltk>=3.8.1
uvicorn>=0.24.0.post1
starlette~=0.32.0
starlette~=0.35.0
unstructured[all-docs]==0.11.0
python-magic-bin; sys_platform == 'win32'
SQLAlchemy==2.0.19
@ -37,19 +37,21 @@ einops>=0.7.0
transformers_stream_generator==0.0.4
vllm==0.2.7; sys_platform == "linux"
httpx==0.26.0
llama-index
jq==1.6.0
beautifulsoup4~=4.12.2
pysrt~=1.1.2
dashscope==1.13.6
arxiv~=2.1.0
youtube-search~=2.1.2
duckduckgo-search~=3.9.9
metaphor-python~=0.1.23
llama-index==0.9.35
# jq==1.6.0
# beautifulsoup4~=4.12.2
# pysrt~=1.1.2
# dashscope==1.13.6
# arxiv~=2.1.0
# youtube-search~=2.1.2
# duckduckgo-search~=3.9.9
# metaphor-python~=0.1.23
# volcengine>=1.0.119
# pymilvus>=2.3.4
# psycopg2==2.9.9
# pgvector>=0.2.4
# flash-attn>=2.4.3 # For Orion-14B-Chat and Qwen-14B-Chat
# rapidocr_paddle[gpu]>=1.3.0.post5
#flash-attn==2.4.2 # For Orion-14B-Chat and Qwen-14B-Chat
#autoawq==0.1.8 # For Int4
#rapidocr_paddle[gpu]==1.3.11 # gpu accelleration for ocr of pdf and image files

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@ -7,9 +7,9 @@ fastapi~=0.109.0
sse_starlette~=1.8.2
nltk~=3.8.1
uvicorn~=0.24.0.post1
starlette~=0.32.0
starlette~=0.35.0
unstructured[all-docs]~=0.12.0
python-magic-bin; sys_platform ~= 'win32'
python-magic-bin; sys_platform == 'win32'
SQLAlchemy~=2.0.25
faiss-cpu~=1.7.4
accelerate~=0.24.1
@ -19,6 +19,8 @@ rapidocr_onnxruntime~=1.3.8
requests~=2.31.0
pathlib~=1.0.1
pytest~=7.4.3
llama-index==0.9.35
dashscope==1.13.6
arxiv~=2.1.0
youtube-search~=2.1.2
@ -28,5 +30,4 @@ watchdog~=3.0.0
# volcengine>=1.0.119
# pymilvus>=2.3.4
# psycopg2==2.9.9
# pgvector>=0.2.4
# flash-attn>=2.4.3 # For Orion-14B-Chat and Qwen-14B-Chat
# pgvector>=0.2.4

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@ -6,7 +6,7 @@ from datetime import datetime
import os
import re
import time
from configs import (TEMPERATURE, HISTORY_LEN, PROMPT_TEMPLATES,
from configs import (TEMPERATURE, HISTORY_LEN, PROMPT_TEMPLATES, LLM_MODELS,
DEFAULT_KNOWLEDGE_BASE, DEFAULT_SEARCH_ENGINE, SUPPORT_AGENT_MODEL)
from server.knowledge_base.utils import LOADER_DICT
import uuid
@ -164,12 +164,12 @@ def dialogue_page(api: ApiRequest, is_lite: bool = False):
available_models = []
config_models = api.list_config_models()
if not is_lite:
for k, v in config_models.get("local", {}).items(): # 列出配置了有效本地路径的模型
for k, v in config_models.get("local", {}).items():
if (v.get("model_path_exists")
and k not in running_models):
available_models.append(k)
for k, v in config_models.get("online", {}).items(): # 列出ONLINE_MODELS中直接访问的模型
if not v.get("provider") and k not in running_models:
for k, v in config_models.get("online", {}).items():
if not v.get("provider") and k not in running_models and k in LLM_MODELS:
available_models.append(k)
llm_models = running_models + available_models
cur_llm_model = st.session_state.get("cur_llm_model", default_model)

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@ -437,9 +437,6 @@ class ApiRequest:
"prompt_name": prompt_name,
}
# print(f"received input message:")
# pprint(data)
response = self.post(
"/chat/file_chat",
json=data,