hugging chat api下載 - hugging chat api源代碼下載

hugging chat api

其他源碼

v0.4.16

下載

擁抱chat-api

英語| 簡體中文

非官方的擁抱python api，可用於聊天機器人等

筆記
出於個人原因，此存儲庫的更新將變得慢，我們將確保可以正常使用最基本的功能
最近的新更新：
助手（圖像生成器等）
網絡搜索
記住上下文
支持更改LLM的支持

安裝

pip3 install hugchat

用法

API

以下是此存儲庫的所有常見用法，您不一定會使用它們，您可以根據需要添加或刪除一些:)

 from hugchat import hugchat
from hugchat . login import Login

# Log in to huggingface and grant authorization to huggingchat
EMAIL = "your email"
PASSWD = "your password"
cookie_path_dir = "./cookies/" # NOTE: trailing slash (/) is required to avoid errors
sign = Login ( EMAIL , PASSWD )
cookies = sign . login ( cookie_dir_path = cookie_path_dir , save_cookies = True )

# Create your ChatBot
chatbot = hugchat . ChatBot ( cookies = cookies . get_dict ())  # or cookie_path="usercookies/<email>.json"

message_result = chatbot . chat ( "Hi!" ) # note: message_result is a generator, the method will return immediately.

# Non stream
message_str : str = message_result . wait_until_done () # you can also print(message_result) directly. 
# get files(such as images)
file_list = message_result . get_files_created () # must call wait_until_done() first!

# tips: model "CohereForAI/c4ai-command-r-plus" can generate images :)

# Stream response
for resp in chatbot . chat (
    "Hello" ,
    stream = True
):
    print ( resp )

# Web search
query_result = chatbot . chat ( "Hi!" , web_search = True )
print ( query_result )
for source in query_result . web_search_sources :
    print ( source . link )
    print ( source . title )

# Create a new conversation
chatbot . new_conversation ( switch_to = True ) # switch to the new conversation

# Get conversations on the server that are not from the current session (all your conversations in huggingchat)
conversation_list = chatbot . get_remote_conversations ( replace_conversation_list = True )
# Get conversation list(local)
conversation_list = chatbot . get_conversation_list ()

# Get the available models (not hardcore)
models = chatbot . get_available_llm_models ()

# Switch model with given index
chatbot . switch_llm ( 0 ) # Switch to the first model
chatbot . switch_llm ( 1 ) # Switch to the second model

# Get information about the current conversation
info = chatbot . get_conversation_info ()
print ( info . id , info . title , info . model , info . system_prompt , info . history )

# Assistant
ASSISTANT_ID = "66017fca58d60bd7d5c5c26c" # get the assistant id from https://huggingface.co/chat/assistants
chatbot . new_conversation ( assistant = ASSISTANT_ID , switch_to = True ) # create a new conversation with assistant

# [DANGER] Delete all the conversations for the logged in user
chatbot . delete_all_conversations ()