1 files changed, 125 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..c41909e3
--- /dev/null
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -0,0 +1,125 @@
+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,
+        timeout: int = 30,
+        **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", timeout=timeout) 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})"
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