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from __future__ import annotations
import re
import json
import base64
import uuid
try:
from ..requests.curl_cffi import FormData
has_curl_cffi = True
except ImportError:
has_curl_cffi = False
from ..typing import AsyncResult, Messages, ImageType, Cookies
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
from ..image import to_bytes, ImageResponse
from ..requests import StreamSession, raise_for_status
from ..errors import MissingRequirementsError
from .you.har_file import get_dfp_telemetry_id
class You(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://you.com"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
default_model = "gpt-3.5-turbo"
models = [
"gpt-3.5-turbo",
"gpt-4",
"gpt-4-turbo",
"claude-instant",
"claude-2",
"claude-3-opus",
"claude-3-sonnet",
"gemini-pro",
"zephyr",
"dall-e",
]
model_aliases = {
"claude-v2": "claude-2"
}
_cookies = None
_cookies_used = 0
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
stream: bool = True,
image: ImageType = None,
image_name: str = None,
proxy: str = None,
chat_mode: str = "default",
**kwargs,
) -> AsyncResult:
if not has_curl_cffi:
raise MissingRequirementsError('Install or update "curl_cffi" package | pip install -U curl_cffi')
if image is not None:
chat_mode = "agent"
elif not model or model == cls.default_model:
...
elif model.startswith("dall-e"):
chat_mode = "create"
else:
chat_mode = "custom"
model = cls.get_model(model)
async with StreamSession(
proxy=proxy,
impersonate="chrome"
) as session:
cookies = await cls.get_cookies(session) if chat_mode != "default" else None
upload = json.dumps([await cls.upload_file(session, cookies, to_bytes(image), image_name)]) if image else ""
#questions = [message["content"] for message in messages if message["role"] == "user"]
# chat = [
# {"question": questions[idx-1], "answer": message["content"]}
# for idx, message in enumerate(messages)
# if message["role"] == "assistant"
# and idx < len(questions)
# ]
headers = {
"Accept": "text/event-stream",
"Referer": f"{cls.url}/search?fromSearchBar=true&tbm=youchat",
}
data = {
"userFiles": upload,
"q": format_prompt(messages),
"domain": "youchat",
"selectedChatMode": chat_mode,
#"chat": json.dumps(chat),
}
params = {
"userFiles": upload,
"selectedChatMode": chat_mode,
}
if chat_mode == "custom":
params["selectedAIModel"] = model.replace("-", "_")
async with (session.post if chat_mode == "default" else session.get)(
f"{cls.url}/api/streamingSearch",
data=data,
params=params,
headers=headers,
cookies=cookies
) as response:
await raise_for_status(response)
async for line in response.iter_lines():
if line.startswith(b'event: '):
event = line[7:].decode()
elif line.startswith(b'data: '):
if event in ["youChatUpdate", "youChatToken"]:
data = json.loads(line[6:])
if event == "youChatToken" and event in data:
yield data[event]
elif event == "youChatUpdate" and "t" in data and data["t"] is not None:
match = re.search(r"!\[fig\]\((.+?)\)", data["t"])
if match:
yield ImageResponse(match.group(1), messages[-1]["content"])
else:
yield data["t"]
@classmethod
async def upload_file(cls, client: StreamSession, cookies: Cookies, file: bytes, filename: str = None) -> dict:
async with client.get(
f"{cls.url}/api/get_nonce",
cookies=cookies,
) as response:
await raise_for_status(response)
upload_nonce = await response.text()
data = FormData()
data.add_field('file', file, filename=filename)
async with client.post(
f"{cls.url}/api/upload",
data=data,
headers={
"X-Upload-Nonce": upload_nonce,
},
cookies=cookies
) as response:
await raise_for_status(response)
result = await response.json()
result["user_filename"] = filename
result["size"] = len(file)
return result
@classmethod
async def get_cookies(cls, client: StreamSession) -> Cookies:
if not cls._cookies or cls._cookies_used >= 5:
cls._cookies = await cls.create_cookies(client)
cls._cookies_used = 0
cls._cookies_used += 1
return cls._cookies
@classmethod
def get_sdk(cls) -> str:
return base64.standard_b64encode(json.dumps({
"event_id":f"event-id-{str(uuid.uuid4())}",
"app_session_id":f"app-session-id-{str(uuid.uuid4())}",
"persistent_id":f"persistent-id-{uuid.uuid4()}",
"client_sent_at":"","timezone":"",
"stytch_user_id":f"user-live-{uuid.uuid4()}",
"stytch_session_id":f"session-live-{uuid.uuid4()}",
"app":{"identifier":"you.com"},
"sdk":{"identifier":"Stytch.js Javascript SDK","version":"3.3.0"
}}).encode()).decode()
def get_auth() -> str:
auth_uuid = "507a52ad-7e69-496b-aee0-1c9863c7c8"
auth_token = f"public-token-live-{auth_uuid}bb:public-token-live-{auth_uuid}19"
auth = base64.standard_b64encode(auth_token.encode()).decode()
return f"Basic {auth}"
@classmethod
async def create_cookies(cls, client: StreamSession) -> Cookies:
user_uuid = str(uuid.uuid4())
async with client.post(
"https://web.stytch.com/sdk/v1/passwords",
headers={
"Authorization": cls.get_auth(),
"X-SDK-Client": cls.get_sdk(),
"X-SDK-Parent-Host": cls.url
},
json={
"dfp_telemetry_id": await get_dfp_telemetry_id(),
"email": f"{user_uuid}@gmail.com",
"password": f"{user_uuid}#{user_uuid}",
"dfp_telemetry_id": f"{uuid.uuid4()}",
"session_duration_minutes": 129600
}
) as response:
await raise_for_status(response)
session = (await response.json())["data"]
return {
"stytch_session": session["session_token"],
'stytch_session_jwt': session["session_jwt"],
'ydc_stytch_session': session["session_token"],
'ydc_stytch_session_jwt': session["session_jwt"],
}
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