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-rw-r--r--g4f/Provider/needs_auth/OpenaiChat.py124
1 files changed, 124 insertions, 0 deletions
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
new file mode 100644
index 00000000..c57692d3
--- /dev/null
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -0,0 +1,124 @@
+from __future__ import annotations
+
+import uuid, json, time
+
+from ..base_provider import AsyncGeneratorProvider
+from ..helper import get_browser, get_cookies, format_prompt
+from ...typing import AsyncGenerator
+from ...requests import StreamSession
+
+class OpenaiChat(AsyncGeneratorProvider):
+ url = "https://chat.openai.com"
+ needs_auth = True
+ working = True
+ supports_gpt_35_turbo = True
+ _access_token = None
+
+ @classmethod
+ async def create_async_generator(
+ cls,
+ model: str,
+ messages: list[dict[str, str]],
+ proxy: str = None,
+ access_token: str = None,
+ cookies: dict = None,
+ **kwargs: dict
+ ) -> AsyncGenerator:
+ proxies = {"https": proxy}
+ if not access_token:
+ access_token = await cls.get_access_token(cookies, proxies)
+ headers = {
+ "Accept": "text/event-stream",
+ "Authorization": f"Bearer {access_token}",
+ }
+ async with StreamSession(proxies=proxies, headers=headers, impersonate="chrome107") as session:
+ messages = [
+ {
+ "id": str(uuid.uuid4()),
+ "author": {"role": "user"},
+ "content": {"content_type": "text", "parts": [format_prompt(messages)]},
+ },
+ ]
+ data = {
+ "action": "next",
+ "messages": messages,
+ "conversation_id": None,
+ "parent_message_id": str(uuid.uuid4()),
+ "model": "text-davinci-002-render-sha",
+ "history_and_training_disabled": True,
+ }
+ async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
+ response.raise_for_status()
+ last_message = ""
+ async for line in response.iter_lines():
+ if line.startswith(b"data: "):
+ line = line[6:]
+ if line == b"[DONE]":
+ break
+ try:
+ line = json.loads(line)
+ except:
+ continue
+ if "message" not in line or "message_type" not in line["message"]["metadata"]:
+ continue
+ if line["message"]["metadata"]["message_type"] == "next":
+ new_message = line["message"]["content"]["parts"][0]
+ yield new_message[len(last_message):]
+ last_message = new_message
+
+ @classmethod
+ def browse_access_token(cls) -> str:
+ try:
+ from selenium.webdriver.common.by import By
+ from selenium.webdriver.support.ui import WebDriverWait
+ from selenium.webdriver.support import expected_conditions as EC
+
+ driver = get_browser()
+ except ImportError:
+ return
+
+ driver.get(f"{cls.url}/")
+ try:
+ WebDriverWait(driver, 1200).until(
+ EC.presence_of_element_located((By.ID, "prompt-textarea"))
+ )
+ javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
+ return driver.execute_script(javascript)
+ finally:
+ time.sleep(1)
+ driver.quit()
+
+ @classmethod
+ async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
+ async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
+ async with session.get(f"{cls.url}/api/auth/session") as response:
+ response.raise_for_status()
+ auth = await response.json()
+ if "accessToken" in auth:
+ return auth["accessToken"]
+
+ @classmethod
+ async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
+ if not cls._access_token:
+ cookies = cookies if cookies else get_cookies("chat.openai.com")
+ if cookies:
+ cls._access_token = await cls.fetch_access_token(cookies, proxies)
+ if not cls._access_token:
+ cls._access_token = cls.browse_access_token()
+ if not cls._access_token:
+ raise RuntimeError("Read access token failed")
+ return cls._access_token
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ("proxy", "str"),
+ ("access_token", "str"),
+ ("cookies", "dict[str, str]")
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})" \ No newline at end of file