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authorHeiner Lohaus <hlohaus@users.noreply.github.com>2023-11-12 18:03:04 +0100
committerHeiner Lohaus <hlohaus@users.noreply.github.com>2023-11-12 18:03:04 +0100
commit2fb932220daccc08d25da1ee558fe975cf016b3a (patch)
tree30bd52159f23963731f9c634b6d0150ef042e5b6 /g4f/Provider/Berlin.py
parentAdd auto_continue to OpenaiChat (diff)
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Diffstat (limited to '')
-rw-r--r--g4f/Provider/Berlin.py78
1 files changed, 78 insertions, 0 deletions
diff --git a/g4f/Provider/Berlin.py b/g4f/Provider/Berlin.py
new file mode 100644
index 00000000..bfdb1ef0
--- /dev/null
+++ b/g4f/Provider/Berlin.py
@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+import secrets
+import uuid
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class Berlin(AsyncGeneratorProvider):
+ url = "https://ai.berlin4h.top"
+ working = True
+ supports_gpt_35_turbo = True
+ _token = None
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: Messages,
+ proxy: str = None,
+ **kwargs
+ ) -> AsyncResult:
+ if not model:
+ model = "gpt-3.5-turbo"
+ headers = {
+ "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/119.0",
+ "Accept": "*/*",
+ "Accept-Language": "de,en-US;q=0.7,en;q=0.3",
+ "Accept-Encoding": "gzip, deflate, br",
+ "Referer": f"{cls.url}/",
+ "Content-Type": "application/json",
+ "Origin": cls.url,
+ "Alt-Used": "ai.berlin4h.top",
+ "Connection": "keep-alive",
+ "Sec-Fetch-Dest": "empty",
+ "Sec-Fetch-Mode": "cors",
+ "Sec-Fetch-Site": "same-origin",
+ "Pragma": "no-cache",
+ "Cache-Control": "no-cache",
+ "TE": "trailers",
+ }
+ async with ClientSession(headers=headers) as session:
+ if not cls._token:
+ data = {
+ "account": '免费使用GPT3.5模型@163.com',
+ "password": '659e945c2d004686bad1a75b708c962f'
+ }
+ async with session.post(f"{cls.url}/api/login", json=data, proxy=proxy) as response:
+ response.raise_for_status()
+ cls._token = (await response.json())["data"]["token"]
+ headers = {
+ "token": cls._token
+ }
+ prompt = format_prompt(messages)
+ data = {
+ "prompt": prompt,
+ "parentMessageId": str(uuid.uuid4()),
+ "options": {
+ "model": model,
+ "temperature": 0,
+ "presence_penalty": 0,
+ "frequency_penalty": 0,
+ "max_tokens": 1888,
+ **kwargs
+ },
+ }
+ async with session.post(f"{cls.url}/api/chat/completions", json=data, proxy=proxy, headers=headers) as response:
+ response.raise_for_status()
+ async for chunk in response.content:
+ if chunk.strip():
+ try:
+ yield json.loads(chunk)["content"]
+ except:
+ raise RuntimeError(f"Response: {chunk.decode()}")