Merge branch 'main' into main

.vscode/settings.json

@@ -0,0 +1,4 @@
+{
+    "editor.tabCompletion": "on",
+    "diffEditor.codeLens": true
+}

README.md

@@ -51,6 +51,13 @@ Just API's from some language model sites.
       <td><a href="https://github.com/xtekky/gpt4free/issues"><img alt="Issues" src="https://img.shields.io/github/issues/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
       <td><a href="https://github.com/xtekky/gpt4free/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/xtekky/gpt4free?style=flat-square&labelColor=343b41"/></a></td>
     </tr>
+    <tr>
+      <td><a href="https://github.com/xiangsx/gpt4free-ts"><b>gpt4free-ts</b></a></td>
+      <td><a href="https://github.com/xiangsx/gpt4free-ts/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
+      <td><a href="https://github.com/xiangsx/gpt4free-ts/network/members"><img alt="Forks" src="https://img.shields.io/github/forks/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
+      <td><a href="https://github.com/xiangsx/gpt4free-ts/issues"><img alt="Issues" src="https://img.shields.io/github/issues/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
+      <td><a href="https://github.com/xiangsx/gpt4free-ts/pulls"><img alt="Pull Requests" src="https://img.shields.io/github/issues-pr/xiangsx/gpt4free-ts?style=flat-square&labelColor=343b41"/></a></td>
+    </tr>
     <tr>
       <td><a href="https://github.com/xtekky/chatgpt-clone"><b>ChatGPT-Clone</b></a></td>
       <td><a href="https://github.com/xtekky/chatgpt-clone/stargazers"><img alt="Stars" src="https://img.shields.io/github/stars/xtekky/chatgpt-clone?style=flat-square&labelColor=343b41"/></a></td>

gpt4free/forefront/__init__.py

@@ -1,49 +1,27 @@
-import os
-import pickle
 from json import loads
+from xtempmail import Email
 from re import findall
+from typing import Optional, Generator
+from faker import Faker
 from time import time, sleep
-from typing import Generator, Optional
 from uuid import uuid4
-
 from fake_useragent import UserAgent
-from pymailtm import MailTm, Message
 from requests import post
 from tls_client import Session
-
 from .typing import ForeFrontResponse
 
 
 class Account:
-    COOKIES_FILE_NAME = 'cookies.pickle'
-
     @staticmethod
-    def login(proxy: Optional[str] = None, logging: bool = False) -> str:
+    def create(proxy: Optional[str] = None, logging: bool = False):
-        if not os.path.isfile(Account.COOKIES_FILE_NAME):
-            return Account.create(proxy, logging)
-
-        with open(Account.COOKIES_FILE_NAME, 'rb') as f:
-            cookies = pickle.load(f)
-        proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
-
-        client = Session(client_identifier='chrome110')
-        client.proxies = proxies
-        client.cookies.update(cookies)
-
-        if Account.is_cookie_enabled(client):
-            response = client.get('https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4')
-            return response.json()['response']['sessions'][0]['last_active_token']['jwt']
-        else:
-            return Account.create(proxy, logging)
-
-    @staticmethod
-    def create(proxy: Optional[str] = None, logging: bool = False, save_cookies: bool = False) -> str:
         proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
+        faker = Faker()
+        name = (faker.name().replace(' ', '_')).lower()
 
         start = time()
 
-        mail_client = MailTm().get_account()
+        mail_client = Email(name=name)
-        mail_address = mail_client.address
+        mail_address = mail_client.email
 
         client = Session(client_identifier='chrome110')
         client.proxies = proxies
@@ -66,7 +44,10 @@ class Account:
 
         response = client.post(
             f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.38.4',
-            data={'strategy': 'email_link', 'redirect_url': 'https://accounts.forefront.ai/sign-up/verify'},
+            data={
+                'strategy': 'email_link',
+                'redirect_url': 'https://accounts.forefront.ai/sign-up/verify'
+            },
         )
 
         if logging:
@@ -74,31 +55,23 @@ class Account:
 
         if 'sign_up_attempt' not in response.text:
             return 'Failed to create account!'
-
+        verification_url = None
-        while True:
+        new_message = mail_client.get_new_message(5)
-            sleep(1)
+        for msg in new_message:
-            new_message: Message = mail_client.wait_for_message()
+            verification_url = findall(r'https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+', msg.text)[0]
-            if logging:
-                print(new_message.data['id'])
-
-            verification_url = findall(r'https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+', new_message.text)[0]
-
             if verification_url:
                 break
-
+        
+        if verification_url is None or not verification_url:
+            raise RuntimeError('Error while obtaining verfication URL!')
         if logging:
             print(verification_url)
-
         response = client.get(verification_url)
 
         response = client.get('https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4')
 
         token = response.json()['response']['sessions'][0]['last_active_token']['jwt']
 
-        if save_cookies:
-            with open(Account.COOKIES_FILE_NAME, 'wb') as f:
-                pickle.dump(client.cookies, f)
-
         with open('accounts.txt', 'a') as f:
             f.write(f'{mail_address}:{token}\n')
 
@@ -107,11 +80,6 @@ class Account:
 
         return token
 
-    @staticmethod
-    def is_cookie_enabled(client: Session) -> bool:
-        response = client.get('https://chat.forefront.ai/')
-        return 'window.startClerk' in response.text
-
 
 class StreamingCompletion:
     @staticmethod
@@ -122,14 +90,14 @@ class StreamingCompletion:
         action_type='new',
         default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
         model='gpt-4',
-        proxy=None,
+        proxy=None
     ) -> Generator[ForeFrontResponse, None, None]:
         if not token:
             raise Exception('Token is required!')
         if not chat_id:
             chat_id = str(uuid4())
 
-        proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
+        proxies = { 'http': 'http://' + proxy, 'https': 'http://' + proxy } if proxy else None
 
         headers = {
             'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
@@ -197,7 +165,7 @@ class Completion:
         action_type='new',
         default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
         model='gpt-4',
-        proxy=None,
+        proxy=None
     ) -> ForeFrontResponse:
         text = ''
         final_response = None
@@ -208,7 +176,7 @@ class Completion:
             action_type=action_type,
             default_persona=default_persona,
             model=model,
-            proxy=proxy,
+            proxy=proxy
         ):
             if response:
                 final_response = response
@@ -220,3 +188,4 @@ class Completion:
             raise Exception('Unable to get the response, Please try again')
 
         return final_response
+	

gpt4free/italygpt/README.md

@@ -1,18 +0,0 @@
-### Example: `italygpt`
-
-```python
-# create an instance
-from gpt4free import italygpt
-italygpt = italygpt.Completion()
-
-# initialize api
-italygpt.init()
-
-# get an answer
-italygpt.create(prompt="What is the meaning of life?")
-print(italygpt.answer) # html formatted
-
-# keep the old conversation
-italygpt.create(prompt="Are you a human?", messages=italygpt.messages)
-print(italygpt.answer)
-```

gpt4free/italygpt/__init__.py

@@ -1,28 +0,0 @@
-import requests, time, ast, json
-from bs4 import BeautifulSoup
-from hashlib import sha256
-
-class Completion:
-    # answer is returned with html formatting
-    next_id = None
-    messages = []
-    answer = None
-
-    def init(self):
-        r = requests.get("https://italygpt.it")
-        soup = BeautifulSoup(r.text, "html.parser")
-        self.next_id = soup.find("input", {"name": "next_id"})["value"]
-    
-    def create(self, prompt: str, messages: list = []):
-        try:
-            r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).json()
-        except:
-            r = requests.get("https://italygpt.it/question", params={"hash": sha256(self.next_id.encode()).hexdigest(), "prompt": prompt, "raw_messages": json.dumps(messages)}).text
-            if "too many requests" in r.lower():
-                # rate limit is 17 requests per 1 minute
-                time.sleep(20)
-                return self.create(prompt, messages)
-        self.next_id = r["next_id"]
-        self.messages = ast.literal_eval(r["raw_messages"])
-        self.answer = r["response"]
-        return self

gpt4free/quora/__init__.py

@@ -104,8 +104,8 @@ class Model:
     def create(
         token: str,
         model: str = 'gpt-3.5-turbo',  # claude-instant
-        system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
+        system_prompt: str = 'You are ChatGPT a large language model. Answer as consisely as possible',
-        description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
+        description: str = 'gpt-3.5 language model',
         handle: str = None,
     ) -> ModelResponse:
         if not handle:

gpt4free/test.py

@@ -0,0 +1,4 @@
+import forefront
+token = forefront.Account.create()
+response = forefront.Completion.create(token=token, prompt='Hello!')
+print(response)

gpt4free/theb/__init__.py

@@ -72,3 +72,5 @@ class Completion:
         for message in Completion.create(prompt, proxy):
             response_list.append(message)
         return ''.join(response_list)
+        
+        Completion.message_queue.put(response.decode(errors='replace'))

pyproject.toml

@@ -1,5 +1,5 @@
 [tool.poetry]
-name = "openai-rev"
+name = "gpt4free"
 version = "0.1.0"
 description = ""
 authors = []

unfinished/test.py

@@ -1,8 +0,0 @@
-# asyncio.run(gptbz.test())
-
-import requests
-
-image = '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'
-
-response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image)  # .split('base64,')[1])
-print(response.content)

unfinished/vercelai/__init__.py

@@ -1,41 +0,0 @@
-import requests
-
-class Completion:
-    def create(prompt: str,
-        model: str = 'openai:gpt-3.5-turbo',
-        temperature: float = 0.7,
-        max_tokens: int = 200,
-        top_p: float = 1,
-        top_k: int = 1,
-        frequency_penalty: float = 1,
-        presence_penalty: float = 1,
-        stopSequences: list = []):
-        
-        token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
-            'authority': 'play.vercel.ai',
-            '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',
-            'referer': 'https://play.vercel.ai/',
-            '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'}).text.replace('=','')
-        
-        print(token)
-
-        headers = {
-            'authority': 'play.vercel.ai',
-            'custom-encoding': token,
-            'origin': 'https://play.vercel.ai',
-            'referer': 'https://play.vercel.ai/',
-            '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'
-        }
-
-        for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
-                'prompt': prompt,
-                'model': model,
-                'temperature': temperature,
-                'maxTokens': max_tokens,
-                'topK': top_p,
-                'topP': top_k,
-                'frequencyPenalty': frequency_penalty,
-                'presencePenalty': presence_penalty,
-                'stopSequences': stopSequences}).iter_lines():
-            
-            yield (chunk)    

unfinished/vercelai/test.js

@@ -1,33 +0,0 @@
-(async () => {
-
-    let response = await fetch("https://play.vercel.ai/openai.jpeg", {
-        "headers": {
-            "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",
-            "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"
-        },
-        "referrer": "https://play.vercel.ai/",
-        "referrerPolicy": "strict-origin-when-cross-origin",
-        "body": null,
-        "method": "GET",
-        "mode": "cors",
-        "credentials": "omit"
-    });
-
-
-    let data = JSON.parse(atob(await response.text()))
-    let ret = eval("(".concat(data.c, ")(data.a)"));
-    
-        botPreventionToken = btoa(JSON.stringify({
-        r: ret,
-        t: data.t
-    }))
-
-    console.log(botPreventionToken);
-    
-})()

unfinished/vercelai/test.py

@@ -1,67 +0,0 @@
-import requests
-from base64    import b64decode, b64encode
-from json      import loads
-from json      import dumps
-
-headers = {
-    'Accept': '*/*',
-    'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
-    'Connection': 'keep-alive',
-    'Referer': 'https://play.vercel.ai/',
-    '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/110.0.0.0 Safari/537.36',
-    'sec-ch-ua': '"Chromium";v="110", "Google Chrome";v="110", "Not:A-Brand";v="99"',
-    'sec-ch-ua-mobile': '?0',
-    'sec-ch-ua-platform': '"macOS"',
-}
-
-response = requests.get('https://play.vercel.ai/openai.jpeg', headers=headers)
-
-token_data = loads(b64decode(response.text))
-print(token_data)
-
-raw_token = {
-    'a': token_data['a'] * .1 * .2,
-    't': token_data['t']
-}
-
-print(raw_token)
-
-new_token = b64encode(dumps(raw_token, separators=(',', ':')).encode()).decode()
-print(new_token)
-
-import requests
-
-headers = {
-    'authority': 'play.vercel.ai',
-    'accept': '*/*',
-    'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
-    'content-type': 'application/json',
-    'custom-encoding': new_token,
-    'origin': 'https://play.vercel.ai',
-    'referer': 'https://play.vercel.ai/',
-    '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',
-}
-
-json_data = {
-    'prompt': 'hello\n',
-    'model': 'openai:gpt-3.5-turbo',
-    'temperature': 0.7,
-    'maxTokens': 200,
-    'topK': 1,
-    'topP': 1,
-    'frequencyPenalty': 1,
-    'presencePenalty': 1,
-    'stopSequences': [],
-}
-
-response = requests.post('https://play.vercel.ai/api/generate', headers=headers, json=json_data)
-print(response.text)

unfinished/vercelai/vercelai_test.py

@@ -1,5 +0,0 @@
-import vercelai
-
-for token in vercelai.Completion.create('summarize the gnu gpl 1.0'):
-    print(token, end='', flush=True)
-