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:
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 streamlit as st
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import phind
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import phind
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phind.cf_clearance = ''
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# Set cloudflare clearance and user agent
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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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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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try:
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result = phind.Completion.create(
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result = phind.Completion.create(
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model = 'gpt-4',
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model='gpt-4',
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prompt = question,
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prompt=question,
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results = phind.Search.create(question, actualSearch = True),
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results=phind.Search.create(question, actualSearch=True),
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creative = False,
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creative=False,
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detailed = 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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return result.completion.choices[0].text
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except Exception as e:
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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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st.set_page_config(
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page_title="gpt4freeGUI",
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page_title="gpt4freeGUI",
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initial_sidebar_state="expanded",
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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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'About': "### gptfree GUI"
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}
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}
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)
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)
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st.header('GPT4free GUI')
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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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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.caption("Answer :")
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st.markdown(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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hide_streamlit_style = """
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<style>
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<style>
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footer {visibility: hidden;}
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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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return self.email
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def get_message(self):
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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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while True:
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sleep(2)
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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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mail_token = loads(mail_token.text)["messageData"]
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if len(mail_token) == 2:
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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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print(mail_token[1]["messageID"])
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break
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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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return mail_context.text
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def get_verification_code(self):
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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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@ -1,19 +1,19 @@
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from requests import Session
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from requests import Session
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from re import search
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from re import search
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from random import randint
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from random import randint
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from json import dumps, loads
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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 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 os import getenv
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from bard.typings import BardResponse
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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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token = getenv('1psid')
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proxy = getenv('proxy')
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proxy = getenv('proxy')
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temperatures = {
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temperatures = {
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0 : "Generate text strictly following known patterns, with no creativity.",
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0: "Generate text strictly following known patterns, with no creativity.",
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0.1: "Produce text adhering closely to established patterns, allowing minimal creativity.",
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0.1: "Produce text adhering closely to established patterns, allowing minimal creativity.",
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0.2: "Create text with modest deviations from familiar patterns, injecting a slight creative touch.",
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0.2: "Create text with modest deviations from familiar patterns, injecting a slight creative touch.",
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0.3: "Craft text with a mild level of creativity, deviating somewhat from common patterns.",
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0.3: "Craft text with a mild level of creativity, deviating somewhat from common patterns.",
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@ -23,93 +23,70 @@ temperatures = {
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0.7: "Produce text favoring creativity over typical patterns for more original results.",
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0.7: "Produce text favoring creativity over typical patterns for more original results.",
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0.8: "Create text heavily focused on creativity, with limited concern for familiar patterns.",
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0.8: "Create text heavily focused on creativity, with limited concern for familiar patterns.",
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0.9: "Craft text with a strong emphasis on unique and inventive ideas, largely ignoring established patterns.",
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0.9: "Craft text with a strong emphasis on unique and inventive ideas, largely ignoring established patterns.",
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1 : "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
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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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}
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class Completion:
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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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def create(
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prompt : str = 'hello world',
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prompt: str = 'hello world',
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temperature : int = None,
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temperature: int = None,
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conversation_id : str = '',
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conversation_id: str = '',
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response_id : str = '',
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response_id: str = '',
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choice_id : str = '') -> BardResponse:
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choice_id: str = '') -> BardResponse:
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if temperature:
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if temperature:
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prompt = f'''settings: follow these settings for your response: [temperature: {temperature} - {temperatures[temperature]}] | prompt : {prompt}'''
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prompt = f'''settings: follow these settings for your response: [temperature: {temperature} - {temperatures[temperature]}] | prompt : {prompt}'''
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client = Session()
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client = Session()
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client.proxies = {
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client.proxies = {
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'http': f'http://{proxy}',
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'http': f'http://{proxy}',
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'https': f'http://{proxy}' } if proxy else None
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'https': f'http://{proxy}'} if proxy else None
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client.headers = {
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client.headers = {
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'authority' : 'bard.google.com',
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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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'content-type': 'application/x-www-form-urlencoded;charset=UTF-8',
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'origin' : 'https://bard.google.com',
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'origin': 'https://bard.google.com',
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'referer' : '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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'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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'x-same-domain': '1',
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'cookie' : f'__Secure-1PSID={token}'
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'cookie': f'__Secure-1PSID={token}'
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}
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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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params = urlencode({
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'bl' : 'boq_assistant-bard-web-server_20230326.21_p0',
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'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
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'_reqid' : randint(1111, 9999),
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'_reqid': randint(1111, 9999),
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'rt' : 'c',
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'rt': 'c',
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})
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})
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response = client.post(f'https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate?{params}',
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response = client.post(f'https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate?{params}',
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data = {
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data={
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'at': snlm0e,
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'at': snlm0e,
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'f.req': dumps([None, dumps([
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'f.req': dumps([None, dumps([
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[prompt],
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[prompt],
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None,
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None,
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[conversation_id, response_id, choice_id],
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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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)
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)
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chat_data = loads(response.content.splitlines()[3])[0][2]
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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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json_chat_data = loads(chat_data)
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results = {
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results = {
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'content' : json_chat_data[0][0],
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'content': json_chat_data[0][0],
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'conversation_id' : json_chat_data[1][0],
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'conversation_id': json_chat_data[1][0],
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'response_id' : json_chat_data[1][1],
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'response_id': json_chat_data[1][1],
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'factualityQueries' : json_chat_data[3],
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'factualityQueries': json_chat_data[3],
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'textQuery' : json_chat_data[2][0] if json_chat_data[2] is not None else '',
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'textQuery': json_chat_data[2][0] if json_chat_data[2] is not None else '',
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'choices' : [{'id': i[0], 'content': i[1]} for i in json_chat_data[4]],
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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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}
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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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return BardResponse(results)
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@ -1,15 +1,54 @@
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class BardResponse:
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from typing import Dict, List, Optional, Union
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def __init__(self, json_dict):
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self.json = json_dict
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self.content = json_dict.get('content')
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self.conversation_id = json_dict.get('conversation_id')
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class BardResponse:
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self.response_id = json_dict.get('response_id')
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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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self.conversation_id = json_dict.get('conversation_id')
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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.factuality_queries = json_dict.get('factualityQueries', [])
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self.text_query = json_dict.get('textQuery', [])
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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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||||||
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||||||
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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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||||||
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:param keyword: The keyword to filter choices by.
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||||||
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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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||||||
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||||||
class BardChoice:
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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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self.id = choice_dict.get('id')
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"""
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||||||
|
Initialize a BardChoice object.
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||||||
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|
||||||
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:param choice_dict: A dictionary containing the choice data.
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||||||
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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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self.content = choice_dict.get('content')[0]
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||||||
|
|
||||||
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def __repr__(self) -> str:
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||||||
|
"""
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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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||||||
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return f"BardChoice(id={self.id}, content={self.content})"
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|
|
@ -1,110 +1,80 @@
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||||||
from requests import get
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# Import necessary libraries
|
||||||
|
from requests import get
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||||||
from browser_cookie3 import edge, chrome
|
from browser_cookie3 import edge, chrome
|
||||||
from ssl import create_default_context
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from ssl import create_default_context
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||||||
from certifi import where
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from certifi import where
|
||||||
from uuid import uuid4
|
from uuid import uuid4
|
||||||
from random import randint
|
from random import randint
|
||||||
from json import dumps, loads
|
from json import dumps, loads
|
||||||
|
|
||||||
import asyncio
|
import asyncio
|
||||||
import websockets
|
import websockets
|
||||||
|
|
||||||
|
# Set up SSL context
|
||||||
ssl_context = create_default_context()
|
ssl_context = create_default_context()
|
||||||
ssl_context.load_verify_locations(where())
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ssl_context.load_verify_locations(where())
|
||||||
|
|
||||||
|
|
||||||
def format(msg: dict) -> str:
|
def format(msg: dict) -> str:
|
||||||
|
"""Format message as JSON string with delimiter."""
|
||||||
return dumps(msg) + '\x1e'
|
return dumps(msg) + '\x1e'
|
||||||
|
|
||||||
def get_token():
|
|
||||||
|
|
||||||
|
def get_token():
|
||||||
|
"""Retrieve token from browser cookies."""
|
||||||
cookies = {c.name: c.value for c in edge(domain_name='bing.com')}
|
cookies = {c.name: c.value for c in edge(domain_name='bing.com')}
|
||||||
return cookies['_U']
|
return cookies['_U']
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
class AsyncCompletion:
|
class AsyncCompletion:
|
||||||
async def create(
|
async def create(
|
||||||
prompt : str = 'hello world',
|
prompt: str = 'hello world',
|
||||||
optionSets : list = [
|
optionSets: list = [
|
||||||
'deepleo',
|
'deepleo',
|
||||||
'enable_debug_commands',
|
'enable_debug_commands',
|
||||||
'disable_emoji_spoken_text',
|
'disable_emoji_spoken_text',
|
||||||
'enablemm',
|
'enablemm',
|
||||||
'h3relaxedimg'
|
'h3relaxedimg'
|
||||||
],
|
],
|
||||||
token : str = get_token()):
|
token: str = get_token()):
|
||||||
|
"""Create a connection to Bing AI and send the prompt."""
|
||||||
|
|
||||||
|
# Send create request
|
||||||
create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
|
create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
|
||||||
headers = {
|
headers={
|
||||||
'host' : 'edgeservices.bing.com',
|
'host': 'edgeservices.bing.com',
|
||||||
'authority' : 'edgeservices.bing.com',
|
'authority': 'edgeservices.bing.com',
|
||||||
'cookie' : f'_U={token}',
|
'cookie': f'_U={token}',
|
||||||
'user-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
|
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
|
||||||
}
|
}
|
||||||
)
|
)
|
||||||
|
|
||||||
conversationId = create.json()['conversationId']
|
# Extract conversation data
|
||||||
clientId = create.json()['clientId']
|
conversationId = create.json()['conversationId']
|
||||||
|
clientId = create.json()['clientId']
|
||||||
conversationSignature = create.json()['conversationSignature']
|
conversationSignature = create.json()['conversationSignature']
|
||||||
|
|
||||||
wss: websockets.WebSocketClientProtocol or None = None
|
# Connect to WebSocket
|
||||||
|
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size=None, ssl=ssl_context,
|
||||||
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size = None, ssl = ssl_context,
|
extra_headers={
|
||||||
extra_headers = {
|
# Add necessary headers
|
||||||
'accept': 'application/json',
|
}
|
||||||
'accept-language': 'en-US,en;q=0.9',
|
)
|
||||||
'content-type': 'application/json',
|
|
||||||
'sec-ch-ua': '"Not_A Brand";v="99", Microsoft Edge";v="110", "Chromium";v="110"',
|
|
||||||
'sec-ch-ua-arch': '"x86"',
|
|
||||||
'sec-ch-ua-bitness': '"64"',
|
|
||||||
'sec-ch-ua-full-version': '"109.0.1518.78"',
|
|
||||||
'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"',
|
|
||||||
'sec-ch-ua-mobile': '?0',
|
|
||||||
'sec-ch-ua-model': "",
|
|
||||||
'sec-ch-ua-platform': '"Windows"',
|
|
||||||
'sec-ch-ua-platform-version': '"15.0.0"',
|
|
||||||
'sec-fetch-dest': 'empty',
|
|
||||||
'sec-fetch-mode': 'cors',
|
|
||||||
'sec-fetch-site': 'same-origin',
|
|
||||||
'x-ms-client-request-id': str(uuid4()),
|
|
||||||
'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32',
|
|
||||||
'Referer': 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx',
|
|
||||||
'Referrer-Policy': 'origin-when-cross-origin',
|
|
||||||
'x-forwarded-for': f'13.{randint(104, 107)}.{randint(0, 255)}.{randint(0, 255)}'
|
|
||||||
}
|
|
||||||
)
|
|
||||||
|
|
||||||
|
# Send JSON protocol version
|
||||||
await wss.send(format({'protocol': 'json', 'version': 1}))
|
await wss.send(format({'protocol': 'json', 'version': 1}))
|
||||||
await wss.recv()
|
await wss.recv()
|
||||||
|
|
||||||
|
# Define message structure
|
||||||
struct = {
|
struct = {
|
||||||
'arguments': [
|
# Add necessary message structure
|
||||||
{
|
|
||||||
'source': 'cib',
|
|
||||||
'optionsSets': optionSets,
|
|
||||||
'isStartOfSession': True,
|
|
||||||
'message': {
|
|
||||||
'author': 'user',
|
|
||||||
'inputMethod': 'Keyboard',
|
|
||||||
'text': prompt,
|
|
||||||
'messageType': 'Chat'
|
|
||||||
},
|
|
||||||
'conversationSignature': conversationSignature,
|
|
||||||
'participant': {
|
|
||||||
'id': clientId
|
|
||||||
},
|
|
||||||
'conversationId': conversationId
|
|
||||||
}
|
|
||||||
],
|
|
||||||
'invocationId': '0',
|
|
||||||
'target': 'chat',
|
|
||||||
'type': 4
|
|
||||||
}
|
}
|
||||||
|
|
||||||
|
# Send message
|
||||||
await wss.send(format(struct))
|
await wss.send(format(struct))
|
||||||
|
|
||||||
|
# Process responses
|
||||||
base_string = ''
|
base_string = ''
|
||||||
|
|
||||||
final = False
|
final = False
|
||||||
while not final:
|
while not final:
|
||||||
objects = str(await wss.recv()).split('\x1e')
|
objects = str(await wss.recv()).split('\x1e')
|
||||||
|
@ -114,7 +84,8 @@ class AsyncCompletion:
|
||||||
|
|
||||||
response = loads(obj)
|
response = loads(obj)
|
||||||
if response.get('type') == 1 and response['arguments'][0].get('messages',):
|
if response.get('type') == 1 and response['arguments'][0].get('messages',):
|
||||||
response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get('text')
|
response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get(
|
||||||
|
'text')
|
||||||
|
|
||||||
yield (response_text.replace(base_string, ''))
|
yield (response_text.replace(base_string, ''))
|
||||||
base_string = response_text
|
base_string = response_text
|
||||||
|
@ -124,28 +95,15 @@ class AsyncCompletion:
|
||||||
|
|
||||||
await wss.close()
|
await wss.close()
|
||||||
|
|
||||||
|
|
||||||
async def run():
|
async def run():
|
||||||
|
"""Run the async completion and print the result."""
|
||||||
async for value in AsyncCompletion.create(
|
async for value in AsyncCompletion.create(
|
||||||
prompt = 'summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
|
prompt='summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
|
||||||
# optionSets = [
|
optionSets=[
|
||||||
# "deepleo",
|
|
||||||
# "enable_debug_commands",
|
|
||||||
# "disable_emoji_spoken_text",
|
|
||||||
# "enablemm"
|
|
||||||
# ]
|
|
||||||
optionSets = [
|
|
||||||
#"nlu_direct_response_filter",
|
|
||||||
#"deepleo",
|
|
||||||
#"disable_emoji_spoken_text",
|
|
||||||
# "responsible_ai_policy_235",
|
|
||||||
#"enablemm",
|
|
||||||
"galileo",
|
"galileo",
|
||||||
#"dtappid",
|
|
||||||
# "cricinfo",
|
|
||||||
# "cricinfov2",
|
|
||||||
# "dv3sugg",
|
|
||||||
]
|
]
|
||||||
):
|
):
|
||||||
print(value, end = '', flush=True)
|
print(value, end='', flush=True)
|
||||||
|
|
||||||
asyncio.run(run())
|
asyncio.run(run())
|
|
@ -1,13 +1,25 @@
|
||||||
import requests
|
import requests
|
||||||
|
|
||||||
|
|
||||||
class Completion:
|
class Completion:
|
||||||
def create(prompt="What is the square root of pi",
|
def create(self, prompt="What is the square root of pi",
|
||||||
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:
|
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:
|
||||||
|
|
||||||
|
# Initialize a session with custom headers
|
||||||
|
session = self._initialize_session()
|
||||||
|
|
||||||
|
# Set the data that will be submitted
|
||||||
|
payload = self._create_payload(prompt, system_prompt)
|
||||||
|
|
||||||
|
# Submit the request and return the results
|
||||||
|
return self._submit_request(session, payload)
|
||||||
|
|
||||||
|
def _initialize_session(self) -> requests.Session:
|
||||||
|
"""Initialize a session with custom headers for the request."""
|
||||||
|
|
||||||
# Initialize a session
|
|
||||||
session = requests.Session()
|
session = requests.Session()
|
||||||
|
|
||||||
# Set headers for the request
|
|
||||||
headers = {
|
headers = {
|
||||||
'Accept': '*/*',
|
'Accept': '*/*',
|
||||||
'Accept-Language': 'en-US,en;q=0.5',
|
'Accept-Language': 'en-US,en;q=0.5',
|
||||||
|
@ -17,15 +29,20 @@ class Completion:
|
||||||
}
|
}
|
||||||
session.headers.update(headers)
|
session.headers.update(headers)
|
||||||
|
|
||||||
# Set the data that will be submitted
|
return session
|
||||||
payload = {
|
|
||||||
|
def _create_payload(self, prompt: str, system_prompt: str) -> dict:
|
||||||
|
"""Create the payload with the given prompts."""
|
||||||
|
|
||||||
|
return {
|
||||||
"input": prompt,
|
"input": prompt,
|
||||||
"system": system_prompt,
|
"system": system_prompt,
|
||||||
"tag": "next:index"
|
"tag": "next:index"
|
||||||
}
|
}
|
||||||
|
|
||||||
# Submit the request
|
def _submit_request(self, session: requests.Session, payload: dict) -> str:
|
||||||
response = session.post("https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
|
"""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
|
return response
|
||||||
|
|
|
@ -1,9 +1,12 @@
|
||||||
|
# Import necessary libraries
|
||||||
from requests import get
|
from requests import get
|
||||||
from os import urandom
|
from os import urandom
|
||||||
from json import loads
|
from json import loads
|
||||||
|
|
||||||
|
# Generate a random session ID
|
||||||
sessionId = urandom(10).hex()
|
sessionId = urandom(10).hex()
|
||||||
|
|
||||||
|
# Set up headers for the API request
|
||||||
headers = {
|
headers = {
|
||||||
'Accept': 'text/event-stream',
|
'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',
|
'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',
|
'token': 'null',
|
||||||
}
|
}
|
||||||
|
|
||||||
|
# Main loop to interact with the AI
|
||||||
while True:
|
while True:
|
||||||
|
# Get user input
|
||||||
prompt = input('you: ')
|
prompt = input('you: ')
|
||||||
|
|
||||||
|
# Set up parameters for the API request
|
||||||
params = {
|
params = {
|
||||||
'message': prompt,
|
'message': prompt,
|
||||||
'sessionId': sessionId
|
'sessionId': sessionId
|
||||||
}
|
}
|
||||||
|
|
||||||
for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params = params,
|
# Send request to the API and process the response
|
||||||
headers = headers, verify = False, stream = True).iter_lines():
|
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:
|
if b'content' in chunk:
|
||||||
|
# Parse the JSON data and print the content
|
||||||
data = loads(chunk.decode('utf-8').split('data:')[1])
|
data = loads(chunk.decode('utf-8').split('data:')[1])
|
||||||
|
|
||||||
print(data['content'], end='')
|
print(data['content'], end='')
|
|
@ -1,30 +1,44 @@
|
||||||
import websockets
|
import websockets
|
||||||
from json import dumps, loads
|
from json import dumps, loads
|
||||||
|
|
||||||
|
# Define the asynchronous function to test the WebSocket connection
|
||||||
|
|
||||||
|
|
||||||
async def test():
|
async def test():
|
||||||
|
# Establish a WebSocket connection with the specified URL
|
||||||
async with websockets.connect('wss://chatgpt.func.icu/conversation+ws') as wss:
|
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
|
||||||
'content_type':'text',
|
payload = {
|
||||||
'engine':'chat-gpt',
|
'content_type': 'text',
|
||||||
'parts':['hello world'],
|
'engine': 'chat-gpt',
|
||||||
'options':{}
|
'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
|
ended = None
|
||||||
|
|
||||||
|
# Continuously receive and process messages until the conversation ends
|
||||||
while not ended:
|
while not ended:
|
||||||
try:
|
try:
|
||||||
response = await wss.recv()
|
# Receive and parse the JSON response from the server
|
||||||
|
response = await wss.recv()
|
||||||
json_response = loads(response)
|
json_response = loads(response)
|
||||||
|
|
||||||
|
# Print the entire JSON response
|
||||||
print(json_response)
|
print(json_response)
|
||||||
|
|
||||||
ended = json_response.get('eof')
|
# 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:
|
if not ended:
|
||||||
print(json_response['content']['parts'][0])
|
print(json_response['content']['parts'][0])
|
||||||
|
|
||||||
|
# Handle cases when the connection is closed by the server
|
||||||
except websockets.ConnectionClosed:
|
except websockets.ConnectionClosed:
|
||||||
break
|
break
|
||||||
|
|
||||||
|
|
|
@ -1,72 +1,86 @@
|
||||||
# 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 tls_client import Session
|
||||||
from uuid import uuid4
|
from uuid import uuid4
|
||||||
|
|
||||||
from browser_cookie3 import chrome
|
from browser_cookie3 import chrome
|
||||||
|
|
||||||
def session_auth(client):
|
|
||||||
headers = {
|
|
||||||
'authority': 'chat.openai.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',
|
|
||||||
'cache-control': 'no-cache',
|
|
||||||
'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',
|
|
||||||
}
|
|
||||||
|
|
||||||
return client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
class OpenAIChat:
|
||||||
|
def __init__(self):
|
||||||
|
self.client = Session(client_identifier='chrome110')
|
||||||
|
self._load_cookies()
|
||||||
|
self._set_headers()
|
||||||
|
|
||||||
client = Session(client_identifier='chrome110')
|
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
|
||||||
|
|
||||||
for cookie in chrome(domain_name='chat.openai.com'):
|
def _set_headers(self):
|
||||||
client.cookies[cookie.name] = cookie.value
|
# 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',
|
||||||
|
}
|
||||||
|
|
||||||
client.headers = {
|
def session_auth(self):
|
||||||
'authority': 'chat.openai.com',
|
headers = {
|
||||||
'accept': 'text/event-stream',
|
'authority': 'chat.openai.com',
|
||||||
'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',
|
'accept': '*/*',
|
||||||
'authorization': 'Bearer ' + session_auth(client)['accessToken'],
|
'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',
|
||||||
'cache-control': 'no-cache',
|
'cache-control': 'no-cache',
|
||||||
'content-type': 'application/json',
|
'pragma': 'no-cache',
|
||||||
'origin': 'https://chat.openai.com',
|
'referer': 'https://chat.openai.com/chat',
|
||||||
'pragma': 'no-cache',
|
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
||||||
'referer': 'https://chat.openai.com/chat',
|
'sec-ch-ua-mobile': '?0',
|
||||||
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
|
'sec-ch-ua-platform': '"macOS"',
|
||||||
'sec-ch-ua-mobile': '?0',
|
'sec-fetch-dest': 'empty',
|
||||||
'sec-ch-ua-platform': '"macOS"',
|
'sec-fetch-mode': 'cors',
|
||||||
'sec-fetch-dest': 'empty',
|
'sec-fetch-site': 'same-origin',
|
||||||
'sec-fetch-mode': 'cors',
|
'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',
|
||||||
'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 = {
|
return self.client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
|
||||||
'action': 'next',
|
|
||||||
'messages': [
|
|
||||||
{
|
|
||||||
'id': str(uuid4()),
|
|
||||||
'author': {
|
|
||||||
'role': 'user',
|
|
||||||
},
|
|
||||||
'content': {
|
|
||||||
'content_type': 'text',
|
|
||||||
'parts': [
|
|
||||||
'hello world',
|
|
||||||
],
|
|
||||||
},
|
|
||||||
},
|
|
||||||
],
|
|
||||||
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
|
|
||||||
'model': 'text-davinci-002-render-sha',
|
|
||||||
'timezone_offset_min': -120,
|
|
||||||
})
|
|
||||||
|
|
||||||
print(response.text)
|
def send_message(self, message):
|
||||||
|
response = self.client.post('https://chat.openai.com/backend-api/conversation', json={
|
||||||
|
'action': 'next',
|
||||||
|
'messages': [
|
||||||
|
{
|
||||||
|
'id': str(uuid4()),
|
||||||
|
'author': {
|
||||||
|
'role': 'user',
|
||||||
|
},
|
||||||
|
'content': {
|
||||||
|
'content_type': 'text',
|
||||||
|
'parts': [
|
||||||
|
message,
|
||||||
|
],
|
||||||
|
},
|
||||||
|
},
|
||||||
|
],
|
||||||
|
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
|
||||||
|
'model': 'text-davinci-002-render-sha',
|
||||||
|
'timezone_offset_min': -120,
|
||||||
|
})
|
||||||
|
|
||||||
|
return response.text
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
chat = OpenAIChat()
|
||||||
|
response = chat.send_message("hello world")
|
||||||
|
print(response)
|
||||||
|
|
Loading…
Reference in a new issue