1
0
Fork 0
GPT4FREE/gpt4free/quora/__init__.py
2023-04-29 15:08:10 +05:30

471 lines
20 KiB
Python

import json
from datetime import datetime
from hashlib import md5
from json import dumps
from pathlib import Path
from random import choice, choices, randint
from re import search, findall
from string import ascii_letters, digits
from typing import Optional, Union, List, Any, Generator
from urllib.parse import unquote
import selenium.webdriver.support.expected_conditions as EC
from fake_useragent import UserAgent
from pydantic import BaseModel
from pypasser import reCaptchaV3
from requests import Session
from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from tls_client import Session as TLS
from .api import Client as PoeClient
from .mail import Emailnator
SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not
being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location
to your system\'s PATH.\n\nHere are the steps to resolve the issue:\n\n1. Download the geckodriver for your platform
(Windows, macOS, or Linux) from the following link: https://github.com/mozilla/geckodriver/releases\n\n2. Extract the
downloaded archive and locate the geckodriver executable.\n\n3. Add the geckodriver executable to your system\'s
PATH.\n\nFor macOS and Linux:\n\n- Open a terminal window.\n- Move the geckodriver executable to a directory that is
already in your PATH, or create a new directory and add it to your PATH:\n\n```bash\n# Example: Move geckodriver to
/usr/local/bin\nmv /path/to/your/geckodriver /usr/local/bin\n```\n\n- If you created a new directory, add it to your
PATH:\n\n```bash\n# Example: Add a new directory to PATH\nexport PATH=$PATH:/path/to/your/directory\n```\n\nFor
Windows:\n\n- Right-click on "My Computer" or "This PC" and select "Properties".\n- Click on "Advanced system
settings".\n- Click on the "Environment Variables" button.\n- In the "System variables" section, find the "Path"
variable, select it, and click "Edit".\n- Click "New" and add the path to the directory containing the geckodriver
executable.\n\nAfter adding the geckodriver to your PATH, restart your terminal or command prompt and try running
your script again. The error should be resolved.'''
# from twocaptcha import TwoCaptcha
# solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
MODELS = {
'Sage': 'capybara',
'GPT-4': 'beaver',
'Claude+': 'a2_2',
'Claude-instant': 'a2',
'ChatGPT': 'chinchilla',
'Dragonfly': 'nutria',
'NeevaAI': 'hutia',
}
def extract_formkey(html):
script_regex = r'<script>if\(.+\)throw new Error;(.+)</script>'
script_text = search(script_regex, html).group(1)
key_regex = r'var .="([0-9a-f]+)",'
key_text = search(key_regex, script_text).group(1)
cipher_regex = r'.\[(\d+)\]=.\[(\d+)\]'
cipher_pairs = findall(cipher_regex, script_text)
formkey_list = [''] * len(cipher_pairs)
for pair in cipher_pairs:
formkey_index, key_index = map(int, pair)
formkey_list[formkey_index] = key_text[key_index]
formkey = ''.join(formkey_list)
return formkey
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class PoeResponse(BaseModel):
id: int
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str
class ModelResponse:
def __init__(self, json_response: dict) -> None:
self.id = json_response['data']['poeBotCreate']['bot']['id']
self.name = json_response['data']['poeBotCreate']['bot']['displayName']
self.limit = json_response['data']['poeBotCreate']['bot']['messageLimit']['dailyLimit']
self.deleted = json_response['data']['poeBotCreate']['bot']['deletionState']
class Model:
@staticmethod
def create(
token: str,
model: str = 'gpt-3.5-turbo', # claude-instant
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
handle: str = None,
) -> ModelResponse:
if not handle:
handle = f'gptx{randint(1111111, 9999999)}'
client = Session()
client.cookies['p-b'] = token
formkey = extract_formkey(client.get('https://poe.com').text)
settings = client.get('https://poe.com/api/settings').json()
client.headers = {
'host': 'poe.com',
'origin': 'https://poe.com',
'referer': 'https://poe.com/',
'poe-formkey': formkey,
'poe-tchannel': settings['tchannelData']['channel'],
'user-agent': UserAgent().random,
'connection': 'keep-alive',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'content-type': 'application/json',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'accept': '*/*',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8',
}
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'CreateBotMain_poeBotCreate_Mutation',
'variables': {
'model': MODELS[model],
'handle': handle,
'prompt': system_prompt,
'isPromptPublic': True,
'introduction': '',
'description': description,
'profilePictureUrl': 'https://qph.fs.quoracdn.net/main-qimg-24e0b480dcd946e1cc6728802c5128b6',
'apiUrl': None,
'apiKey': ''.join(choices(ascii_letters + digits, k=32)),
'isApiBot': False,
'hasLinkification': False,
'hasMarkdownRendering': False,
'hasSuggestedReplies': False,
'isPrivateBot': False,
},
'query': 'mutation CreateBotMain_poeBotCreate_Mutation(\n $model: String!\n $handle: String!\n $prompt: String!\n $isPromptPublic: Boolean!\n $introduction: String!\n $description: String!\n $profilePictureUrl: String\n $apiUrl: String\n $apiKey: String\n $isApiBot: Boolean\n $hasLinkification: Boolean\n $hasMarkdownRendering: Boolean\n $hasSuggestedReplies: Boolean\n $isPrivateBot: Boolean\n) {\n poeBotCreate(model: $model, handle: $handle, promptPlaintext: $prompt, isPromptPublic: $isPromptPublic, introduction: $introduction, description: $description, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, isApiBot: $isApiBot, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {\n status\n bot {\n id\n ...BotHeader_bot\n }\n }\n}\n\nfragment BotHeader_bot on Bot {\n displayName\n messageLimit {\n dailyLimit\n }\n ...BotImage_bot\n ...BotLink_bot\n ...IdAnnotation_node\n ...botHelpers_useViewerCanAccessPrivateBot\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotImage_bot on Bot {\n displayName\n ...botHelpers_useDeletion_bot\n ...BotImage_useProfileImage_bot\n}\n\nfragment BotImage_useProfileImage_bot on Bot {\n image {\n __typename\n ... on LocalBotImage {\n localName\n }\n ... on UrlBotImage {\n url\n }\n }\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotLink_bot on Bot {\n displayName\n}\n\nfragment IdAnnotation_node on Node {\n __isNode: __typename\n id\n}\n\nfragment botHelpers_useDeletion_bot on Bot {\n deletionState\n}\n\nfragment botHelpers_useViewerCanAccessPrivateBot on Bot {\n isPrivateBot\n viewerIsCreator\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'success' not in response.text:
raise Exception(
'''
Bot creation Failed
!! Important !!
Bot creation was not enabled on this account
please use: quora.Account.create with enable_bot_creation set to True
'''
)
return ModelResponse(response.json())
class Account:
@staticmethod
def create(
proxy: Optional[str] = None,
logging: bool = False,
enable_bot_creation: bool = False,
):
client = TLS(client_identifier='chrome110')
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
mail_client = Emailnator()
mail_address = mail_client.get_mail()
if logging:
print('email', mail_address)
client.headers = {
'authority': 'poe.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'content-type': 'application/json',
'origin': 'https://poe.com',
'poe-tag-id': 'null',
'referer': 'https://poe.com/login',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
'poe-formkey': extract_formkey(client.get('https://poe.com/login').text),
'poe-tchannel': client.get('https://poe.com/api/settings').json()['tchannelData']['channel'],
}
token = reCaptchaV3(
'https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal'
)
# token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
# url = 'https://poe.com/login?redirect_url=%2F',
# version = 'v3',
# enterprise = 1,
# invisible = 1,
# action = 'login',)['code']
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
'variables': {
'emailAddress': mail_address,
'phoneNumber': None,
'recaptchaToken': token,
},
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
print(dumps(client.headers, indent=4))
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'automated_request_detected' in response.text:
print('please try using a proxy / wait for fix')
if 'Bad Request' in response.text:
if logging:
print('bad request, retrying...', response.json())
quit()
if logging:
print('send_code', response.json())
mail_content = mail_client.get_message()
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
if logging:
print('code', mail_token)
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation',
'variables': {
'verificationCode': str(mail_token),
'emailAddress': mail_address,
'phoneNumber': None,
},
'query': 'mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if logging:
print('verify_code', response.json())
def get(self):
cookies = open(Path(__file__).resolve().parent / 'cookies.txt', 'r').read().splitlines()
return choice(cookies)
class StreamingCompletion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: bool = None,
prompt: str = 'hello world',
token: str = '',
) -> Generator[PoeResponse, None, None]:
_model = MODELS[model] if not custom_model else custom_model
client = PoeClient(token)
for chunk in client.send_message(_model, prompt):
yield PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text_new'],
'choices': [
{
'text': chunk['text_new'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text_new']),
'total_tokens': len(prompt) + len(chunk['text_new']),
},
}
)
class Completion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: str = None,
prompt: str = 'hello world',
token: str = '',
) -> PoeResponse:
_model = MODELS[model] if not custom_model else custom_model
client = PoeClient(token)
chunk = None
for response in client.send_message(_model, prompt):
chunk = response
return PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text'],
'choices': [
{
'text': chunk['text'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text']),
'total_tokens': len(prompt) + len(chunk['text']),
},
}
)
class Poe:
def __init__(
self,
model: str = 'ChatGPT',
driver: str = 'firefox',
download_driver: bool = False,
driver_path: Optional[str] = None,
cookie_path: str = './quora/cookie.json',
):
# validating the model
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
self.model = MODELS[model]
self.cookie_path = cookie_path
self.cookie = self.__load_cookie(driver, driver_path=driver_path)
self.client = PoeClient(self.cookie)
def __load_cookie(self, driver: str, driver_path: Optional[str] = None) -> str:
if (cookie_file := Path(self.cookie_path)).exists():
with cookie_file.open() as fp:
cookie = json.load(fp)
if datetime.fromtimestamp(cookie['expiry']) < datetime.now():
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
else:
print('Loading the cookie from file')
else:
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
return unquote(cookie['value'])
def __register_and_get_cookie(self, driver: str, driver_path: Optional[str] = None) -> dict:
mail_client = Emailnator()
mail_address = mail_client.get_mail()
driver = self.__resolve_driver(driver, driver_path=driver_path)
driver.get("https://www.poe.com")
# clicking use email button
driver.find_element(By.XPATH, '//button[contains(text(), "Use email")]').click()
email = WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.XPATH, '//input[@type="email"]')))
email.send_keys(mail_address)
driver.find_element(By.XPATH, '//button[text()="Go"]').click()
code = findall(r';">(\d{6,7})</div>', mail_client.get_message())[0]
print(code)
verification_code = WebDriverWait(driver, 30).until(
EC.presence_of_element_located((By.XPATH, '//input[@placeholder="Code"]'))
)
verification_code.send_keys(code)
verify_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Verify"]'))
login_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Log In"]'))
WebDriverWait(driver, 30).until(EC.any_of(verify_button, login_button)).click()
cookie = driver.get_cookie('p-b')
with open(self.cookie_path, 'w') as fw:
json.dump(cookie, fw)
driver.close()
return cookie
@staticmethod
def __resolve_driver(driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
options = FirefoxOptions() if driver == 'firefox' else ChromeOptions()
options.add_argument('-headless')
if driver_path:
options.binary_location = driver_path
try:
return Firefox(options=options) if driver == 'firefox' else Chrome(options=options)
except Exception:
raise Exception(SELENIUM_WEB_DRIVER_ERROR_MSG)
def chat(self, message: str, model: Optional[str] = None) -> str:
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
model = MODELS[model] if model else self.model
response = None
for chunk in self.client.send_message(model, message):
response = chunk['text']
return response
def create_bot(
self,
name: str,
/,
prompt: str = '',
base_model: str = 'ChatGPT',
description: str = '',
) -> None:
if base_model not in MODELS:
raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')
response = self.client.create_bot(
handle=name,
prompt=prompt,
base_model=MODELS[base_model],
description=description,
)
print(f'Successfully created bot with name: {response["bot"]["displayName"]}')
def list_bots(self) -> list:
return list(self.client.bot_names.values())