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Version 3.74: Merge latest updates on dev branch (frontier) (#1621)

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* Update version to 3.74

* Add support for Yi Model API (#1635)

* 更新以支持零一万物模型

* 删除newbing

* 修改config

---------

Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* Refactor function signatures in bridge files

* fix qwen api change

* rename and ref functions

* rename and move some cookie functions

* 增加haiku模型，新增endpoint配置说明 (#1626)

* haiku added

* 新增haiku，新增endpoint配置说明

* Haiku added

* 将说明同步至最新Endpoint

---------

Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* private_upload目录下进行文件鉴权 (#1596)

* private_upload目录下进行文件鉴权

* minor fastapi adjustment

* Add logging functionality to enable saving
conversation records

* waiting to fix username retrieve

* support 2rd web path

* allow accessing default user dir

---------

Co-authored-by: binary-husky <qingxu.fu@outlook.com>

* remove yaml deps

* fix favicon

* fix abs path auth problem

* forget to write a return

* add `dashscope` to deps

* fix GHSA-v9q9-xj86-953p

* 用户名重叠越权访问patch (#1681)

* add cohere model api access

* cohere + can_multi_thread

* fix block user access(fail)

* fix fastapi bug

* change cohere api endpoint

* explain version

---------

Co-authored-by: Menghuan1918 <menghuan2003@outlook.com>
Co-authored-by: Skyzayre <120616113+Skyzayre@users.noreply.github.com>
Co-authored-by: XIao <46100050+Kilig947@users.noreply.github.com>
This commit is contained in:
binary-husky
2024-04-08 11:49:30 +08:00
committed by GitHub
parent ae51a0e686
commit bdd46c5dd1
28 changed files with 868 additions and 253 deletions
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61
tests/test_llms.py
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@@ -11,28 +11,45 @@ def validate_path():
validate_path() # validate path so you can run from base directory
if __name__ == "__main__":
# from request_llms.bridge_newbingfree import predict_no_ui_long_connection
# from request_llms.bridge_moss import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_pangualpha import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_llama import predict_no_ui_long_connection
# from request_llms.bridge_claude import predict_no_ui_long_connection
# from request_llms.bridge_internlm import predict_no_ui_long_connection
# from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
# from request_llms.bridge_qwen_7B import predict_no_ui_long_connection
from request_llms.bridge_qwen_local import predict_no_ui_long_connection
# from request_llms.bridge_spark import predict_no_ui_long_connection
# from request_llms.bridge_zhipu import predict_no_ui_long_connection
# from request_llms.bridge_chatglm3 import predict_no_ui_long_connection
if "在线模型":
if __name__ == "__main__":
from request_llms.bridge_cohere import predict_no_ui_long_connection
# from request_llms.bridge_spark import predict_no_ui_long_connection
# from request_llms.bridge_zhipu import predict_no_ui_long_connection
# from request_llms.bridge_chatglm3 import predict_no_ui_long_connection
llm_kwargs = {
"llm_model": "command-r-plus",
"max_length": 4096,
"top_p": 1,
"temperature": 1,
}
llm_kwargs = {
"max_length": 4096,
"top_p": 1,
"temperature": 1,
}
result = predict_no_ui_long_connection(
inputs="请问什么是质子？", llm_kwargs=llm_kwargs, history=["你好", "我好！"], sys_prompt="系统"
)
print("final result:", result)
print("final result:", result)
if "本地模型":
if __name__ == "__main__":
# from request_llms.bridge_newbingfree import predict_no_ui_long_connection
# from request_llms.bridge_moss import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_pangualpha import predict_no_ui_long_connection
# from request_llms.bridge_jittorllms_llama import predict_no_ui_long_connection
# from request_llms.bridge_claude import predict_no_ui_long_connection
# from request_llms.bridge_internlm import predict_no_ui_long_connection
# from request_llms.bridge_deepseekcoder import predict_no_ui_long_connection
# from request_llms.bridge_qwen_7B import predict_no_ui_long_connection
# from request_llms.bridge_qwen_local import predict_no_ui_long_connection
llm_kwargs = {
"max_length": 4096,
"top_p": 1,
"temperature": 1,
}
result = predict_no_ui_long_connection(
inputs="请问什么是质子？", llm_kwargs=llm_kwargs, history=["你好", "我好！"], sys_prompt=""
)
print("final result:", result)
result = predict_no_ui_long_connection(
inputs="请问什么是质子？", llm_kwargs=llm_kwargs, history=["你好", "我好！"], sys_prompt=""
)
print("final result:", result)