From 7294abc890c377d75c6c8c932620c2e2c8b3f0f9 Mon Sep 17 00:00:00 2001
From: Heiner Lohaus <heiner.lohaus@netformic.com>
Date: Mon, 28 Aug 2023 01:43:45 +0200
Subject: Add async support for H2o Add format_prompt helper Fix
 create_completion in AsyncGeneratorProvider Move get_cookies from constructor
 to function Add ow HuggingChat implement Remove need auth form Liabots Add
 staic cache for access_token in  OpenaiChat Add OpenAssistant provider
 Support stream and async in You Support async and add userId in Yqcloud Add
 log_time module

---
 g4f/Provider/Hugchat.py | 65 -------------------------------------------------
 1 file changed, 65 deletions(-)
 delete mode 100644 g4f/Provider/Hugchat.py

(limited to 'g4f/Provider/Hugchat.py')

diff --git a/g4f/Provider/Hugchat.py b/g4f/Provider/Hugchat.py
deleted file mode 100644
index 80062af1..00000000
--- a/g4f/Provider/Hugchat.py
+++ /dev/null
@@ -1,65 +0,0 @@
-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})"
-- 
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