1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
|
has_module = False
try:
from hugchat.hugchat import ChatBot
except ImportError:
has_module = False
from .base_provider import BaseProvider, get_cookies
from g4f.typing import CreateResult
class Hugchat(BaseProvider):
url = "https://huggingface.co/chat/"
needs_auth = True
working = has_module
llms = ['OpenAssistant/oasst-sft-6-llama-30b-xor', 'meta-llama/Llama-2-70b-chat-hf']
@classmethod
def create_completion(
cls,
model: str,
messages: list[dict[str, str]],
stream: bool = False,
proxy: str = None,
cookies: str = get_cookies(".huggingface.co"),
**kwargs
) -> CreateResult:
bot = ChatBot(
cookies=cookies
)
if proxy and "://" not in proxy:
proxy = f"http://{proxy}"
bot.session.proxies = {"http": proxy, "https": proxy}
if model:
try:
if not isinstance(model, int):
model = cls.llms.index(model)
bot.switch_llm(model)
except:
raise RuntimeError(f"Model are not supported: {model}")
if len(messages) > 1:
formatted = "\n".join(
["%s: %s" % (message["role"], message["content"]) for message in messages]
)
prompt = f"{formatted}\nAssistant:"
else:
prompt = messages.pop()["content"]
try:
yield bot.chat(prompt, **kwargs)
finally:
bot.delete_conversation(bot.current_conversation)
bot.current_conversation = ""
pass
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
|
