added main module for accessing all services
This commit is contained in:
Raju Komati
180
openai_rev/forefront/__init__.py
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180
openai_rev/forefront/__init__.py
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from json import loads
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from re import match
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from time import time, sleep
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from uuid import uuid4
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from altair.vegalite.v3 import Generator
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from fake_useragent import UserAgent
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from requests import post
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from tls_client import Session
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from .mail import Mail
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from .models import ForeFrontResponse
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class Account:
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@staticmethod
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def create(proxy=None, logging=False):
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proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
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start = time()
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mail_client = Mail(proxies)
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mail_token = None
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mail_address = mail_client.get_mail()
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# print(mail_address)
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client = Session(client_identifier='chrome110')
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client.proxies = proxies
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client.headers = {
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'origin': 'https://accounts.forefront.ai',
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'user-agent': UserAgent().random,
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}
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response = client.post(
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'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
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data={'email_address': mail_address},
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)
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trace_token = response.json()['response']['id']
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if logging:
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print(trace_token)
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
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data={
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'strategy': 'email_code',
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},
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)
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if logging:
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print(response.text)
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if 'sign_up_attempt' not in response.text:
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return 'Failed to create account!'
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while True:
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sleep(1)
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for _ in mail_client.fetch_inbox():
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print(mail_client.get_message_content(_['id']))
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mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)
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if mail_token:
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break
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if logging:
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print(mail_token)
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response = client.post(
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f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
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data={'code': mail_token, 'strategy': 'email_code'},
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)
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if logging:
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print(response.json())
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token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
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with open('accounts.txt', 'a') as f:
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f.write(f'{mail_address}:{token}\n')
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if logging:
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print(time() - start)
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return token
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class StreamingCompletion:
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@staticmethod
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def create(
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token=None,
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chat_id=None,
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prompt='',
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action_type='new',
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default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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model='gpt-4',
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) -> Generator[ForeFrontResponse, None, None]:
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if not token:
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raise Exception('Token is required!')
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if not chat_id:
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chat_id = str(uuid4())
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headers = {
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'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
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'accept': '*/*',
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'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',
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'authorization': 'Bearer ' + token,
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'cache-control': 'no-cache',
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'content-type': 'application/json',
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'origin': 'https://chat.forefront.ai',
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'pragma': 'no-cache',
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'referer': 'https://chat.forefront.ai/',
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'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"macOS"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'cross-site',
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'user-agent': UserAgent().random,
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}
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json_data = {
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'text': prompt,
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'action': action_type,
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'parentId': chat_id,
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'workspaceId': chat_id,
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'messagePersona': default_persona,
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'model': model,
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}
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for chunk in post(
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'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
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headers=headers,
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json=json_data,
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stream=True,
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).iter_lines():
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if b'finish_reason":null' in chunk:
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data = loads(chunk.decode('utf-8').split('data: ')[1])
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token = data['choices'][0]['delta'].get('content')
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if token is not None:
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yield ForeFrontResponse(
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**{
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'id': chat_id,
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'object': 'text_completion',
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'created': int(time()),
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'text': token,
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'model': model,
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'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
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'usage': {
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'prompt_tokens': len(prompt),
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'completion_tokens': len(token),
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'total_tokens': len(prompt) + len(token),
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},
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}
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)
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class Completion:
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@staticmethod
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def create(
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token=None,
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chat_id=None,
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prompt='',
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action_type='new',
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default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
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model='gpt-4',
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) -> ForeFrontResponse:
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final_response = None
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for response in StreamingCompletion.create(
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token=token,
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chat_id=chat_id,
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prompt=prompt,
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action_type=action_type,
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default_persona=default_persona,
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model=model,
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):
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final_response = response
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return final_response
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