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
from urllib.parse import unquote
import selenium.webdriver.support.expected_conditions as EC
from pypasser import reCaptchaV3
from requests import Session
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from tls_client import Session as TLS
from quora.api import Client as PoeClient
from quora.mail import Emailnator
# 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 PoeResponse:
class Completion:
class Choices:
def __init__(self, choice: dict) -> None:
self.text = choice["text"]
self.content = self.text.encode()
self.index = choice["index"]
self.logprobs = choice["logprobs"]
self.finish_reason = choice["finish_reason"]
def __repr__(self) -> str:
return f"""<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>"""
def __init__(self, choices: dict) -> None:
self.choices = [self.Choices(choice) for choice in choices]
class Usage:
def __init__(self, usage_dict: dict) -> None:
self.prompt_tokens = usage_dict["prompt_tokens"]
self.completion_tokens = usage_dict["completion_tokens"]
self.total_tokens = usage_dict["total_tokens"]
def __repr__(self):
return f"""<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>"""
def __init__(self, response_dict: dict) -> None:
self.response_dict = response_dict
self.id = response_dict["id"]
self.object = response_dict["object"]
self.created = response_dict["created"]
self.model = response_dict["model"]
self.completion = self.Completion(response_dict["choices"])
self.usage = self.Usage(response_dict["usage"])
def json(self) -> dict:
return self.response_dict
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:
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:
models = {
"gpt-3.5-turbo": "chinchilla",
"claude-instant-v1.0": "a2",
"gpt-4": "beaver",
}
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": "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",
"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:
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:
def create(
model: str = "gpt-4",
custom_model: bool = None,
prompt: str = "hello world",
token: str = "",
):
_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,
"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:
def create(
model: str = "gpt-4",
custom_model: str = None,
prompt: str = "hello world",
token: str = "",
):
models = {
"sage": "capybara",
"gpt-4": "beaver",
"claude-v1.2": "a2_2",
"claude-instant-v1.0": "a2",
"gpt-3.5-turbo": "chinchilla",
}
_model = models[model] if not custom_model else custom_model
client = PoeClient(token)
for chunk in client.send_message(_model, prompt):
pass
return PoeResponse(
{
"id": chunk["messageId"],
"object": "text_completion",
"created": chunk["creationTime"],
"model": _model,
"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"):
# 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 = self.__load_cookie()
self.client = PoeClient(self.cookie)
def __load_cookie(self) -> str:
if (cookie_file := Path("./quora/cookie.json")).exists():
with cookie_file.open() as fp:
cookie = json.load(fp)
if datetime.fromtimestamp(cookie["expiry"]) < datetime.now():
cookie = self.__register_and_get_cookie()
else:
print("Loading the cookie from file")
else:
cookie = self.__register_and_get_cookie()
return unquote(cookie["value"])
@classmethod
def __register_and_get_cookie(cls) -> dict:
mail_client = Emailnator()
mail_address = mail_client.get_mail()
print(mail_address)
options = webdriver.FirefoxOptions()
# options.add_argument("-headless")
try:
driver = webdriver.Firefox(options=options)
except Exception:
raise Exception(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.')
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("./quora/cookie.json", "w") as fw:
json.dump(cookie, fw)
driver.close()
return cookie
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())
