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g4f/Provider/HuggingChat.py

@@ -0,0 +1,71 @@
+from __future__ import annotations
+
+import json, uuid
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt, get_cookies
+
+map = {
+    "openchat/openchat_3.5": "openchat/openchat-3.5-1210",
+}
+
+class HuggingChat(AsyncGeneratorProvider):
+    url = "https://huggingface.co/chat"
+    working = True
+    model = "meta-llama/Llama-2-70b-chat-hf"
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool = True,
+        proxy: str = None,
+        web_search: bool = False,
+        cookies: dict = None,
+        **kwargs
+    ) -> AsyncResult:
+        if not model:
+            model = cls.model
+        elif model in map:
+            model = map[model]
+        if not cookies:
+            cookies = get_cookies(".huggingface.co")
+
+        headers = {
+            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
+        }
+        async with ClientSession(
+            cookies=cookies,
+            headers=headers
+        ) as session:
+            async with session.post(f"{cls.url}/conversation", json={"model": model}, proxy=proxy) as response:
+                conversation_id = (await response.json())["conversationId"]
+
+            send = {
+                "id": str(uuid.uuid4()),
+                "inputs": format_prompt(messages),
+                "is_retry": False,
+                "response_id": str(uuid.uuid4()),
+                "web_search": web_search
+            }
+            async with session.post(f"{cls.url}/conversation/{conversation_id}", json=send, proxy=proxy) as response:
+                first_token = True
+                async for line in response.content:
+                    line = json.loads(line[:-1])
+                    if "type" not in line:
+                        raise RuntimeError(f"Response: {line}")
+                    elif line["type"] == "stream":
+                        token = line["token"]
+                        if first_token:
+                            token = token.lstrip()
+                            first_token = False
+                        yield token
+                    elif line["type"] == "finalAnswer":
+                        break
+                
+            async with session.delete(f"{cls.url}/conversation/{conversation_id}", proxy=proxy) as response:
+                response.raise_for_status()