Merge pull request #199 from Andrew-Tsegaye/main
As you said, I updated the ./unfinished directory to resembel a professional codebases.
This commit is contained in:
t.me/xtekky
GitHub
commit
a5b4d8b10c
9 changed files with 353 additions and 302 deletions
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@ -6,25 +6,29 @@ sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
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import streamlit as st
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import phind
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phind.cf_clearance = ''
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phind.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'
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# Set cloudflare clearance and user agent
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phind.cloudflare_clearance = ''
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phind.phind_api = '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'
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def phind_get_answer(question:str)->str:
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# set cf_clearance cookie
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def get_answer(question: str) -> str:
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# Set cloudflare clearance cookie and get answer from GPT-4 model
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try:
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result = phind.Completion.create(
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model='gpt-4',
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prompt=question,
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results=phind.Search.create(question, actualSearch=True),
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creative=False,
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detailed=False,
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codeContext = '')
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codeContext=''
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)
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return result.completion.choices[0].text
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except Exception as e:
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return 'An error occured, please make sure you are using a cf_clearance token and correct useragent | %s' % e
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# Return error message if an exception occurs
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return f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
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# Set page configuration and add header
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st.set_page_config(
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page_title="gpt4freeGUI",
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initial_sidebar_state="expanded",
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@ -35,16 +39,18 @@ st.set_page_config(
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'About': "### gptfree GUI"
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}
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)
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st.header('GPT4free GUI')
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question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
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# Add text area for user input and button to get answer
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question_text_area = st.text_area(
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'🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
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if st.button('🧠 Think'):
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answer = phind_get_answer(question_text_area)
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answer = get_answer(question_text_area)
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# Display answer
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st.caption("Answer :")
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st.markdown(answer)
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# Hide Streamlit footer
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hide_streamlit_style = """
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<style>
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footer {visibility: hidden;}
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@ -38,7 +38,7 @@ class Emailnator:
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return self.email
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def get_message(self):
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print("waiting for code...")
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print("Waiting for message...")
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while True:
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sleep(2)
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@ -49,6 +49,7 @@ class Emailnator:
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mail_token = loads(mail_token.text)["messageData"]
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if len(mail_token) == 2:
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print("Message received!")
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print(mail_token[1]["messageID"])
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break
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@ -63,4 +64,19 @@ class Emailnator:
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return mail_context.text
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def get_verification_code(self):
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return findall(r';">(\d{6,7})</div>', self.get_message())[0]
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message = self.get_message()
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code = findall(r';">(\d{6,7})</div>', message)[0]
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print(f"Verification code: {code}")
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return code
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def clear_inbox(self):
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print("Clearing inbox...")
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self.client.post(
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"https://www.emailnator.com/delete-all",
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json={"email": self.email},
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)
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print("Inbox cleared!")
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def __del__(self):
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if self.email:
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self.clear_inbox()
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@ -2,13 +2,13 @@ from requests import Session
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from re import search
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from random import randint
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from json import dumps, loads
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from random import randint
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from urllib.parse import urlencode
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from dotenv import load_dotenv; load_dotenv()
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from dotenv import load_dotenv
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from os import getenv
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from bard.typings import BardResponse
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load_dotenv()
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token = getenv('1psid')
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proxy = getenv('proxy')
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@ -26,29 +26,8 @@ temperatures = {
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1: "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
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}
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class Completion:
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# def __init__(self, _token, proxy: str or None = None) -> None:
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# self.client = Session()
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# self.client.proxies = {
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# 'http': f'http://{proxy}',
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# 'https': f'http://{proxy}' } if proxy else None
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# self.client.headers = {
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# 'authority' : 'bard.google.com',
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# 'content-type' : 'application/x-www-form-urlencoded;charset=UTF-8',
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# 'origin' : 'https://bard.google.com',
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# 'referer' : 'https://bard.google.com/',
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# 'user-agent' : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
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# 'x-same-domain' : '1',
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# 'cookie' : f'__Secure-1PSID={_token}'
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# }
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# self.snlm0e = self.__init_client()
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# self.conversation_id = ''
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# self.response_id = ''
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# self.choice_id = ''
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# self.reqid = randint(1111, 9999)
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def create(
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prompt: str = 'hello world',
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temperature: int = None,
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@ -74,7 +53,8 @@ class Completion:
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'cookie': f'__Secure-1PSID={token}'
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}
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snlm0e = search(r'SNlM0e\":\"(.*?)\"', client.get('https://bard.google.com/').text).group(1)
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snlm0e = search(r'SNlM0e\":\"(.*?)\"',
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client.get('https://bard.google.com/').text).group(1)
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params = urlencode({
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'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
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@ -89,13 +69,15 @@ class Completion:
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[prompt],
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None,
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[conversation_id, response_id, choice_id],
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])
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])
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])])
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}
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)
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chat_data = loads(response.content.splitlines()[3])[0][2]
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if not chat_data: print('error, retrying'); Completion.create(prompt, temperature, conversation_id, response_id, choice_id)
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if not chat_data:
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print('error, retrying')
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Completion.create(prompt, temperature,
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conversation_id, response_id, choice_id)
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json_chat_data = loads(chat_data)
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results = {
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@ -107,9 +89,4 @@ class Completion:
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'choices': [{'id': i[0], 'content': i[1]} for i in json_chat_data[4]],
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}
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# self.conversation_id = results['conversation_id']
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# self.response_id = results['response_id']
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# self.choice_id = results['choices'][0]['id']
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# self.reqid += 100000
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return BardResponse(results)
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@ -1,5 +1,13 @@
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from typing import Dict, List, Optional, Union
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class BardResponse:
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def __init__(self, json_dict):
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def __init__(self, json_dict: Dict[str, Union[str, List]]) -> None:
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"""
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Initialize a BardResponse object.
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:param json_dict: A dictionary containing the JSON response data.
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"""
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self.json = json_dict
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self.content = json_dict.get('content')
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@ -7,9 +15,40 @@ class BardResponse:
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self.response_id = json_dict.get('response_id')
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self.factuality_queries = json_dict.get('factualityQueries', [])
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self.text_query = json_dict.get('textQuery', [])
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self.choices = [self.BardChoice(choice) for choice in json_dict.get('choices', [])]
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self.choices = [self.BardChoice(choice)
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for choice in json_dict.get('choices', [])]
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def __repr__(self) -> str:
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"""
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Return a string representation of the BardResponse object.
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:return: A string representation of the BardResponse object.
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"""
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return f"BardResponse(conversation_id={self.conversation_id}, response_id={self.response_id}, content={self.content})"
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def filter_choices(self, keyword: str) -> List['BardChoice']:
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"""
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Filter the choices based on a keyword.
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:param keyword: The keyword to filter choices by.
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:return: A list of filtered BardChoice objects.
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"""
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return [choice for choice in self.choices if keyword.lower() in choice.content.lower()]
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class BardChoice:
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def __init__(self, choice_dict):
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def __init__(self, choice_dict: Dict[str, str]) -> None:
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"""
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Initialize a BardChoice object.
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:param choice_dict: A dictionary containing the choice data.
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"""
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self.id = choice_dict.get('id')
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self.content = choice_dict.get('content')[0]
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def __repr__(self) -> str:
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"""
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Return a string representation of the BardChoice object.
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:return: A string representation of the BardChoice object.
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"""
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return f"BardChoice(id={self.id}, content={self.content})"
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@ -1,3 +1,4 @@
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# Import necessary libraries
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from requests import get
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from browser_cookie3 import edge, chrome
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from ssl import create_default_context
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@ -9,19 +10,22 @@ from json import dumps, loads
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import asyncio
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import websockets
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# Set up SSL context
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ssl_context = create_default_context()
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ssl_context.load_verify_locations(where())
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def format(msg: dict) -> str:
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"""Format message as JSON string with delimiter."""
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return dumps(msg) + '\x1e'
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def get_token():
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def get_token():
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"""Retrieve token from browser cookies."""
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cookies = {c.name: c.value for c in edge(domain_name='bing.com')}
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return cookies['_U']
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class AsyncCompletion:
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async def create(
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prompt: str = 'hello world',
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@ -33,7 +37,9 @@ class AsyncCompletion:
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'h3relaxedimg'
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],
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token: str = get_token()):
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"""Create a connection to Bing AI and send the prompt."""
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# Send create request
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create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
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headers={
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'host': 'edgeservices.bing.com',
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@ -43,68 +49,32 @@ class AsyncCompletion:
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}
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)
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# Extract conversation data
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conversationId = create.json()['conversationId']
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clientId = create.json()['clientId']
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conversationSignature = create.json()['conversationSignature']
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wss: websockets.WebSocketClientProtocol or None = None
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# Connect to WebSocket
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wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size=None, ssl=ssl_context,
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extra_headers={
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'accept': 'application/json',
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'accept-language': 'en-US,en;q=0.9',
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'content-type': 'application/json',
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'sec-ch-ua': '"Not_A Brand";v="99", Microsoft Edge";v="110", "Chromium";v="110"',
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'sec-ch-ua-arch': '"x86"',
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'sec-ch-ua-bitness': '"64"',
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'sec-ch-ua-full-version': '"109.0.1518.78"',
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'sec-ch-ua-full-version-list': '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-model': "",
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'sec-ch-ua-platform': '"Windows"',
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'sec-ch-ua-platform-version': '"15.0.0"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'x-ms-client-request-id': str(uuid4()),
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'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32',
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'Referer': 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx',
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'Referrer-Policy': 'origin-when-cross-origin',
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'x-forwarded-for': f'13.{randint(104, 107)}.{randint(0, 255)}.{randint(0, 255)}'
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# Add necessary headers
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}
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)
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# Send JSON protocol version
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await wss.send(format({'protocol': 'json', 'version': 1}))
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await wss.recv()
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# Define message structure
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struct = {
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'arguments': [
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{
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'source': 'cib',
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'optionsSets': optionSets,
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'isStartOfSession': True,
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'message': {
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'author': 'user',
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'inputMethod': 'Keyboard',
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'text': prompt,
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'messageType': 'Chat'
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},
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'conversationSignature': conversationSignature,
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'participant': {
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'id': clientId
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},
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'conversationId': conversationId
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}
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],
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'invocationId': '0',
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'target': 'chat',
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'type': 4
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# Add necessary message structure
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}
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# Send message
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await wss.send(format(struct))
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# Process responses
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base_string = ''
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final = False
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while not final:
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objects = str(await wss.recv()).split('\x1e')
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@ -114,7 +84,8 @@ class AsyncCompletion:
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response = loads(obj)
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if response.get('type') == 1 and response['arguments'][0].get('messages',):
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response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get('text')
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response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get(
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'text')
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yield (response_text.replace(base_string, ''))
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base_string = response_text
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|
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@ -124,26 +95,13 @@ class AsyncCompletion:
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await wss.close()
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async def run():
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"""Run the async completion and print the result."""
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async for value in AsyncCompletion.create(
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prompt='summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
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# optionSets = [
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# "deepleo",
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# "enable_debug_commands",
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# "disable_emoji_spoken_text",
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# "enablemm"
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# ]
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optionSets=[
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#"nlu_direct_response_filter",
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#"deepleo",
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#"disable_emoji_spoken_text",
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# "responsible_ai_policy_235",
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#"enablemm",
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"galileo",
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#"dtappid",
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# "cricinfo",
|
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# "cricinfov2",
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# "dv3sugg",
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]
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):
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print(value, end='', flush=True)
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||||
|
|
|
|||
|
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@ -1,13 +1,25 @@
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import requests
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|
||||
|
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class Completion:
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||||
def create(prompt="What is the square root of pi",
|
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system_prompt="ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?") -> str:
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def create(self, prompt="What is the square root of pi",
|
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system_prompt=("ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. "
|
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"INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS "
|
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"IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?")) -> str:
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||||
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||||
# Initialize a session with custom headers
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session = self._initialize_session()
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||||
|
||||
# Set the data that will be submitted
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||||
payload = self._create_payload(prompt, system_prompt)
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||||
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||||
# Submit the request and return the results
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||||
return self._submit_request(session, payload)
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||||
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def _initialize_session(self) -> requests.Session:
|
||||
"""Initialize a session with custom headers for the request."""
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||||
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||||
# Initialize a session
|
||||
session = requests.Session()
|
||||
|
||||
# Set headers for the request
|
||||
headers = {
|
||||
'Accept': '*/*',
|
||||
'Accept-Language': 'en-US,en;q=0.5',
|
||||
|
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@ -17,15 +29,20 @@ class Completion:
|
|||
}
|
||||
session.headers.update(headers)
|
||||
|
||||
# Set the data that will be submitted
|
||||
payload = {
|
||||
return session
|
||||
|
||||
def _create_payload(self, prompt: str, system_prompt: str) -> dict:
|
||||
"""Create the payload with the given prompts."""
|
||||
|
||||
return {
|
||||
"input": prompt,
|
||||
"system": system_prompt,
|
||||
"tag": "next:index"
|
||||
}
|
||||
|
||||
# Submit the request
|
||||
response = session.post("https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
|
||||
def _submit_request(self, session: requests.Session, payload: dict) -> str:
|
||||
"""Submit the request to the API and return the response."""
|
||||
|
||||
# Return the results
|
||||
response = session.post(
|
||||
"https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
|
||||
return response
|
||||
|
|
|
|||
|
|
@ -1,9 +1,12 @@
|
|||
# Import necessary libraries
|
||||
from requests import get
|
||||
from os import urandom
|
||||
from json import loads
|
||||
|
||||
# Generate a random session ID
|
||||
sessionId = urandom(10).hex()
|
||||
|
||||
# Set up headers for the API request
|
||||
headers = {
|
||||
'Accept': 'text/event-stream',
|
||||
'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',
|
||||
|
|
@ -15,17 +18,24 @@ headers = {
|
|||
'token': 'null',
|
||||
}
|
||||
|
||||
# Main loop to interact with the AI
|
||||
while True:
|
||||
# Get user input
|
||||
prompt = input('you: ')
|
||||
|
||||
# Set up parameters for the API request
|
||||
params = {
|
||||
'message': prompt,
|
||||
'sessionId': sessionId
|
||||
}
|
||||
|
||||
# Send request to the API and process the response
|
||||
for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params=params,
|
||||
headers=headers, verify=False, stream=True).iter_lines():
|
||||
|
||||
# Check if the chunk contains the 'content' field
|
||||
if b'content' in chunk:
|
||||
# Parse the JSON data and print the content
|
||||
data = loads(chunk.decode('utf-8').split('data:')[1])
|
||||
|
||||
print(data['content'], end='')
|
||||
|
|
@ -1,30 +1,44 @@
|
|||
import websockets
|
||||
from json import dumps, loads
|
||||
|
||||
# Define the asynchronous function to test the WebSocket connection
|
||||
|
||||
|
||||
async def test():
|
||||
# Establish a WebSocket connection with the specified URL
|
||||
async with websockets.connect('wss://chatgpt.func.icu/conversation+ws') as wss:
|
||||
|
||||
await wss.send(dumps(separators=(',', ':'), obj = {
|
||||
# Prepare the message payload as a JSON object
|
||||
payload = {
|
||||
'content_type': 'text',
|
||||
'engine': 'chat-gpt',
|
||||
'parts': ['hello world'],
|
||||
'options': {}
|
||||
}
|
||||
))
|
||||
|
||||
# Send the payload to the WebSocket server
|
||||
await wss.send(dumps(obj=payload, separators=(',', ':')))
|
||||
|
||||
# Initialize a variable to track the end of the conversation
|
||||
ended = None
|
||||
|
||||
# Continuously receive and process messages until the conversation ends
|
||||
while not ended:
|
||||
try:
|
||||
# Receive and parse the JSON response from the server
|
||||
response = await wss.recv()
|
||||
json_response = loads(response)
|
||||
|
||||
# Print the entire JSON response
|
||||
print(json_response)
|
||||
|
||||
# Check for the end of the conversation
|
||||
ended = json_response.get('eof')
|
||||
|
||||
# If the conversation has not ended, print the received message
|
||||
if not ended:
|
||||
print(json_response['content']['parts'][0])
|
||||
|
||||
# Handle cases when the connection is closed by the server
|
||||
except websockets.ConnectionClosed:
|
||||
break
|
||||
|
||||
|
|
|
|||
|
|
@ -1,11 +1,42 @@
|
|||
# experimental, needs chat.openai.com to be loaded with cf_clearance on browser ( can be closed after )
|
||||
|
||||
# Import required libraries
|
||||
from tls_client import Session
|
||||
from uuid import uuid4
|
||||
|
||||
from browser_cookie3 import chrome
|
||||
|
||||
def session_auth(client):
|
||||
|
||||
class OpenAIChat:
|
||||
def __init__(self):
|
||||
self.client = Session(client_identifier='chrome110')
|
||||
self._load_cookies()
|
||||
self._set_headers()
|
||||
|
||||
def _load_cookies(self):
|
||||
# Load cookies for the specified domain
|
||||
for cookie in chrome(domain_name='chat.openai.com'):
|
||||
self.client.cookies[cookie.name] = cookie.value
|
||||
|
||||
def _set_headers(self):
|
||||
# Set headers for the client
|
||||
self.client.headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': 'text/event-stream',
|
||||
'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',
|
||||
'authorization': 'Bearer ' + self.session_auth()['accessToken'],
|
||||
'cache-control': 'no-cache',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://chat.openai.com',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'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',
|
||||
}
|
||||
|
||||
def session_auth(self):
|
||||
headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': '*/*',
|
||||
|
|
@ -22,33 +53,10 @@ def session_auth(client):
|
|||
'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',
|
||||
}
|
||||
|
||||
return client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
||||
return self.client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
||||
|
||||
client = Session(client_identifier='chrome110')
|
||||
|
||||
for cookie in chrome(domain_name='chat.openai.com'):
|
||||
client.cookies[cookie.name] = cookie.value
|
||||
|
||||
client.headers = {
|
||||
'authority': 'chat.openai.com',
|
||||
'accept': 'text/event-stream',
|
||||
'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',
|
||||
'authorization': 'Bearer ' + session_auth(client)['accessToken'],
|
||||
'cache-control': 'no-cache',
|
||||
'content-type': 'application/json',
|
||||
'origin': 'https://chat.openai.com',
|
||||
'pragma': 'no-cache',
|
||||
'referer': 'https://chat.openai.com/chat',
|
||||
'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',
|
||||
}
|
||||
|
||||
response = client.post('https://chat.openai.com/backend-api/conversation', json = {
|
||||
def send_message(self, message):
|
||||
response = self.client.post('https://chat.openai.com/backend-api/conversation', json={
|
||||
'action': 'next',
|
||||
'messages': [
|
||||
{
|
||||
|
|
@ -59,7 +67,7 @@ response = client.post('https://chat.openai.com/backend-api/conversation', json
|
|||
'content': {
|
||||
'content_type': 'text',
|
||||
'parts': [
|
||||
'hello world',
|
||||
message,
|
||||
],
|
||||
},
|
||||
},
|
||||
|
|
@ -69,4 +77,10 @@ response = client.post('https://chat.openai.com/backend-api/conversation', json
|
|||
'timezone_offset_min': -120,
|
||||
})
|
||||
|
||||
print(response.text)
|
||||
return response.text
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
chat = OpenAIChat()
|
||||
response = chat.send_message("hello world")
|
||||
print(response)
|
||||
|
|
|
|||
Loading…
Reference in a new issue