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from __future__ import annotations
import re
import json
import uuid
from ...typing import AsyncResult, Messages, ImageType, Cookies
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..helper import format_prompt
from ...image import MEDIA_TYPE_MAP, to_bytes, is_accepted_format
from ...requests import StreamSession, FormData, raise_for_status, get_nodriver
from ...providers.response import ImagePreview, ImageResponse
from ...cookies import get_cookies
from ...errors import MissingRequirementsError, ResponseError
from ... import debug
class You(AsyncGeneratorProvider, ProviderModelMixin):
label = "You.com"
url = "https://you.com"
working = False
needs_auth = True
default_model = "gpt-4o-mini"
default_vision_model = "agent"
image_models = ["dall-e"]
models = [
default_model,
"gpt-4o",
"gpt-4o-mini",
"gpt-4-turbo",
"grok-2",
"claude-3.5-sonnet",
"claude-3.5-haiku",
"claude-3-opus",
"claude-3-sonnet",
"claude-3-haiku",
"llama-3.3-70b",
"llama-3.1-70b",
"llama-3",
"gemini-1-5-flash",
"gemini-1-5-pro",
"databricks-dbrx-instruct",
"command-r",
"command-r-plus",
"dolphin-2.5",
default_vision_model,
*image_models
]
_cookies = None
_cookies_used = 0
_telemetry_ids = []
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
stream: bool = True,
image: ImageType = None,
image_name: str = None,
proxy: str = None,
timeout: int = 240,
chat_mode: str = "default",
cookies: Cookies = None,
**kwargs,
) -> AsyncResult:
if image is not None or model == cls.default_vision_model:
chat_mode = "agent"
elif not model or model == cls.default_model:
...
elif model.startswith("dall-e"):
chat_mode = "create"
messages = [messages[-1]]
else:
chat_mode = "custom"
model = cls.get_model(model)
if cookies is None and chat_mode != "default":
try:
cookies = get_cookies(".you.com")
except MissingRequirementsError:
pass
if not cookies or "afUserId" not in cookies:
browser, stop_browser = await get_nodriver(proxy=proxy)
try:
page = await browser.get(cls.url)
await page.wait_for('[data-testid="user-profile-button"]', timeout=900)
cookies = {}
for c in await page.send(nodriver.cdp.network.get_cookies([cls.url])):
cookies[c.name] = c.value
await page.close()
finally:
stop_browser()
async with StreamSession(
proxy=proxy,
impersonate="chrome",
timeout=(30, timeout)
) as session:
upload = ""
if image is not None:
upload_file = await cls.upload_file(
session, cookies,
to_bytes(image), image_name
)
upload = json.dumps([upload_file])
headers = {
"Accept": "text/event-stream",
"Referer": f"{cls.url}/api/streamingSearch",
}
data = {
"userFiles": upload,
"q": format_prompt(messages),
"domain": "youchat",
"selectedChatMode": chat_mode,
"conversationTurnId": str(uuid.uuid4()),
"chatId": str(uuid.uuid4()),
}
if chat_mode == "custom":
if debug.logging:
print(f"You model: {model}")
data["selectedAiModel"] = model.replace("-", "_")
async with session.get(
f"{cls.url}/api/streamingSearch",
params=data,
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 == "error":
raise ResponseError(line[6:])
if event in ["youChatUpdate", "youChatToken"]:
data = json.loads(line[6:])
if event == "youChatToken" and event in data and data[event]:
if data[event].startswith("#### You\'ve hit your free quota for the Model Agent. For more usage of the Model Agent, learn more at:"):
continue
yield data[event]
elif event == "youChatUpdate" and "t" in data and data["t"]:
if chat_mode == "create":
match = re.search(r"!\[(.+?)\]\((.+?)\)", data["t"])
if match:
if match.group(1) == "fig":
yield ImagePreview(match.group(2), messages[-1]["content"])
else:
yield ImageResponse(match.group(2), match.group(1))
else:
yield data["t"]
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()
content_type = is_accepted_format(file)
filename = f"image.{MEDIA_TYPE_MAP[content_type]}" if filename is None else filename
data.add_field('file', file, content_type=content_type, 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
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