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import time
import uuid
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
import click
import requests
from requests import get
from uuid import uuid4
from re import findall
from requests.exceptions import RequestException
from curl_cffi.requests import get, RequestsError
import g4f
from random import randint
from PIL import Image
import io
import re
import json
import yaml
from ..AIutel import Optimizers
from ..AIutel import Conversation
from ..AIutel import AwesomePrompts, sanitize_stream
from ..AIbase import Provider, AsyncProvider
from Helpingai_T2 import Perplexity
from webscout import exceptions
from typing import Any, AsyncGenerator, Dict
import logging
import httpx
#-------------------------------------------------------youchat--------------------------------------------------------
class YouChat(Provider):
def __init__(
self,
is_conversation: bool = True,
max_tokens: int = 600,
timeout: int = 30,
intro: str = None,
filepath: str = None,
update_file: bool = True,
proxies: dict = {},
history_offset: int = 10250,
act: str = None,
):
self.session = requests.Session()
self.is_conversation = is_conversation
self.max_tokens_to_sample = max_tokens
self.chat_endpoint = "https://you.com/api/streamingSearch"
self.stream_chunk_size = 64
self.timeout = timeout
self.last_response = {}
self.payload = {
"q": "",
"page": 1,
"count": 10,
"safeSearch": "Off",
"onShoppingPage": False,
"mkt": "",
"responseFilter": "WebPages,Translations,TimeZone,Computation,RelatedSearches",
"domain": "youchat",
"queryTraceId": uuid.uuid4(),
"conversationTurnId": uuid.uuid4(),
"pastChatLength": 0,
"selectedChatMode": "default",
"chat": "[]",
}
self.headers = {
"cache-control": "no-cache",
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36',
'Referer': f'https://you.com/search?q={self.payload["q"]}&fromSearchBar=true&tbm=youchat&chatMode=default'
}
self.__available_optimizers = (
method
for method in dir(Optimizers)
if callable(getattr(Optimizers, method)) and not method.startswith("__")
)
self.session.headers.update(self.headers)
Conversation.intro = (
AwesomePrompts().get_act(
act, raise_not_found=True, default=None, case_insensitive=True
)
if act
else intro or Conversation.intro
)
self.conversation = Conversation(
is_conversation, self.max_tokens_to_sample, filepath, update_file
)
self.conversation.history_offset = history_offset
self.session.proxies = proxies
def ask(
self,
prompt: str,
stream: bool = False,
raw: bool = False,
optimizer: str = None,
conversationally: bool = False,
) -> dict:
conversation_prompt = self.conversation.gen_complete_prompt(prompt)
if optimizer:
if optimizer in self.__available_optimizers:
conversation_prompt = getattr(Optimizers, optimizer)(
conversation_prompt if conversationally else prompt
)
else:
raise Exception(
f"Optimizer is not one of {self.__available_optimizers}"
)
self.session.headers.update(self.headers)
self.session.headers.update(
dict(
cookie=f"safesearch_guest=Off; uuid_guest={str(uuid4())}",
)
)
self.payload["q"] = prompt
def for_stream():
response = self.session.get(
self.chat_endpoint,
params=self.payload,
stream=True,
timeout=self.timeout,
)
if not response.ok:
raise exceptions.FailedToGenerateResponseError(
f"Failed to generate response - ({response.status_code}, {response.reason})"
)
streaming_response = ""
for line in response.iter_lines(decode_unicode=True, chunk_size=64):
if line:
modified_value = re.sub("data:", "", line)
try:
json_modified_value = json.loads(modified_value)
if "youChatToken" in json_modified_value:
streaming_response += json_modified_value["youChatToken"]
if print:
print(json_modified_value["youChatToken"], end="")
except:
continue
self.last_response.update(dict(text=streaming_response))
self.conversation.update_chat_history(
prompt, self.get_message(self.last_response)
)
return streaming_response
def for_non_stream():
for _ in for_stream():
pass
return self.last_response
return for_stream() if stream else for_non_stream()
def chat(
self,
prompt: str,
stream: bool = False,
optimizer: str = None,
conversationally: bool = False,
) -> str:
"""Generate response `str`
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defaults to None.
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
str: Response generated
"""
def chat(
self,
prompt: str,
stream: bool = False,
optimizer: str = None,
conversationally: bool = False,
) -> str:
"""Generate response `str`
Args:
prompt (str): Prompt to be send.
stream (bool, optional): Flag for streaming response. Defaults to False.
optimizer (str, optional): Prompt optimizer name - `[code, shell_command]`. Defaults to None.
conversationally (bool, optional): Chat conversationally when using optimizer. Defaults to False.
Returns:
str: Response generated
"""
def for_stream():
for response in self.ask(
prompt, True, optimizer=optimizer, conversationally=conversationally
):
yield self.get_message(response)
def for_non_stream():
return self.get_message(
self.ask(
prompt,
False,
optimizer=optimizer,
conversationally=conversationally,
)
)
return for_stream() if stream else for_non_stream()
def get_message(self, response: dict) -> str:
"""Retrieves message only from response
Args:
response (dict): Response generated by `self.ask`
Returns:
str: Message extracted
"""
assert isinstance(response, dict), "Response should be of dict data-type only"
return response["text"] |