1 files changed, 104 insertions, 0 deletions
diff --git a/g4f/Provider/needs_auth/HuggingFace.py b/g4f/Provider/needs_auth/HuggingFace.py
new file mode 100644
index 00000000..ecc75d1c
--- /dev/null
+++ b/g4f/Provider/needs_auth/HuggingFace.py
@@ -0,0 +1,104 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession, BaseConnector
+
+from ...typing import AsyncResult, Messages
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import get_connector
+from ...errors import RateLimitError, ModelNotFoundError
+from ...requests.raise_for_status import raise_for_status
+
+from ..HuggingChat import HuggingChat
+
+class HuggingFace(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://huggingface.co/chat"
+    working = True
+    needs_auth = True
+    supports_message_history = True
+    default_model = HuggingChat.default_model
+    models = HuggingChat.models
+    model_aliases = HuggingChat.model_aliases
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.models:
+            return model
+        elif model in cls.model_aliases:
+            return cls.model_aliases[model]
+        else:
+            return cls.default_model
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = True,
+        proxy: str = None,
+        connector: BaseConnector = None,
+        api_base: str = "https://api-inference.huggingface.co",
+        api_key: str = None,
+        max_new_tokens: int = 1024,
+        temperature: float = 0.7,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        headers = {
+            'accept': '*/*',
+            'accept-language': 'en',
+            'cache-control': 'no-cache',
+            'origin': 'https://huggingface.co',
+            'pragma': 'no-cache',
+            'priority': 'u=1, i',
+            'referer': 'https://huggingface.co/chat/',
+            'sec-ch-ua': '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"macOS"',
+            'sec-fetch-dest': 'empty',
+            'sec-fetch-mode': 'cors',
+            'sec-fetch-site': 'same-origin',
+            'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36',
+        }
+        if api_key is not None:
+            headers["Authorization"] = f"Bearer {api_key}"
+        
+        params = {
+            "return_full_text": False,
+            "max_new_tokens": max_new_tokens,
+            "temperature": temperature,
+            **kwargs
+        }
+        payload = {"inputs": format_prompt(messages), "parameters": params, "stream": stream}
+        
+        async with ClientSession(
+            headers=headers,
+            connector=get_connector(connector, proxy)
+        ) as session:
+            async with session.post(f"{api_base.rstrip('/')}/models/{model}", json=payload) as response:
+                if response.status == 404:
+                    raise ModelNotFoundError(f"Model is not supported: {model}")
+                await raise_for_status(response)
+                if stream:
+                    first = True
+                    async for line in response.content:
+                        if line.startswith(b"data:"):
+                            data = json.loads(line[5:])
+                            if not data["token"]["special"]:
+                                chunk = data["token"]["text"]
+                                if first:
+                                    first = False
+                                    chunk = chunk.lstrip()
+                                yield chunk
+                else:
+                    yield (await response.json())[0]["generated_text"].strip()
+
+def format_prompt(messages: Messages) -> str:
+    system_messages = [message["content"] for message in messages if message["role"] == "system"]
+    question = " ".join([messages[-1]["content"], *system_messages])
+    history = "".join([
+        f"<s>[INST]{messages[idx-1]['content']} [/INST] {message['content']}</s>"
+        for idx, message in enumerate(messages)
+        if message["role"] == "assistant"
+    ])
+    return f"{history}<s>[INST] {question} [/INST]"