added gpt4free package

README.md

@@ -92,9 +92,9 @@ Please note the following:
 | **Star History** | Star History | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#star-history) | - |
 | **Usage Examples** | | | |
 | `theb` | Example usage for theb (gpt-3.5) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](openai_rev/theb/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
-| `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
+| `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
-| `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
+| `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
-| `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
+| `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
 | **Try it Out** | | | |
 | Google Colab Jupyter Notebook | Example usage for gpt4free | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
 | replit Example (feel free to fork this repl) | Example usage for gpt4free | [![](https://img.shields.io/badge/Open%20in-Replit-1A1E27?logo=replit)](https://replit.com/@gpt4free/gpt4free-webui) | - |
@@ -126,10 +126,10 @@ Please note the following:
 ## Best sites  <a name="best-sites"></a>
 
 #### gpt-4
-- [`/forefront`](./forefront/README.md)
+- [`/forefront`](gpt4free/forefront/README.md)
 
 #### gpt-3.5
-- [`/you`](./you/README.md)
+- [`/you`](gpt4free/you/README.md)
 
 ## Install  <a name="install"></a>
 Download or clone this GitHub repo  

cocalc/__init__.py

@@ -1,57 +0,0 @@
-import requests
-
-class Completion:
-    @staticmethod
-    def create(prompt:str, cookieInput:str) -> str:
-        # Initialize a session with custom headers
-        session = Completion._initialize_session(cookieInput)
-
-        # Set the data that will be submitted
-        payload = Completion._create_payload(prompt, ("ASSUME I HAVE FULL ACCESS TO COCALC. "))
-
-        # Submit the request and return the results
-        return Completion._submit_request(session, payload)
-
-    @classmethod
-    def _initialize_session(cls, conversationCookie) -> requests.Session:
-        """Initialize a session with custom headers for the request."""
-
-        session = requests.Session()
-        headers = {
-            'Accept': '*/*',
-            'Accept-Language': 'en-US,en;q=0.5',
-            'Origin': 'https://cocalc.com',
-            'Referer': 'https://cocalc.com/api/v2/openai/chatgpt',
-            'Cookie': conversationCookie,
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36',
-        }
-        session.headers.update(headers)
-
-        return session
-
-    @classmethod
-    def _create_payload(
-        cls,
-        prompt: str, 
-        system_prompt: str
-        ) -> dict:
-
-        return {
-            "input": prompt,
-            "system": system_prompt,
-            "tag": "next:index"
-        }
-
-    @classmethod
-    def _submit_request(
-        cls,
-        session: requests.Session, 
-        payload: dict
-        ) -> str:
-
-        response = session.post(
-            "https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
-        return {
-            "response":response["output"],
-            "success":response["success"]
-        }

forefront/README.md

@@ -1,16 +0,0 @@
-### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
-
-```python
-import forefront
-
-# create an account
-token = forefront.Account.create(logging=False)
-print(token)
-
-# get a response
-for response in forefront.StreamingCompletion.create(token = token,
-    prompt = 'hello world', model='gpt-4'):
-    
-    print(response.completion.choices[0].text, end = '')
-print("")
-```

forefront/__init__.py

@@ -1,154 +0,0 @@
-from json import loads
-from re import match
-from time import time, sleep
-from uuid import uuid4
-
-from requests import post
-from tls_client import Session
-
-from forefront.mail import Mail
-from forefront.typing import ForeFrontResponse
-
-
-class Account:
-    @staticmethod
-    def create(proxy=None, logging=False):
-
-        proxies = {
-            'http': 'http://' + proxy,
-            'https': 'http://' + proxy} if proxy else False
-
-        start = time()
-
-        mail = Mail(proxies)
-        mail_token = None
-        mail_adress = mail.get_mail()
-
-        # print(mail_adress)
-
-        client = Session(client_identifier='chrome110')
-        client.proxies = proxies
-        client.headers = {
-            "origin": "https://accounts.forefront.ai",
-            "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",
-        }
-
-        response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
-                               data={
-                                   "email_address": mail_adress
-                               }
-                               )
-        try:
-            trace_token = response.json()['response']['id']
-            if logging: print(trace_token)
-        except KeyError:
-            return 'Failed to create account!'
-
-        response = client.post(
-            f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
-            data={
-                "strategy": "email_code",
-            }
-            )
-
-        if logging: print(response.text)
-
-        if not 'sign_up_attempt' in response.text:
-            return 'Failed to create account!'
-
-        while True:
-            sleep(1)
-            for _ in mail.fetch_inbox():
-                if logging: print(mail.get_message_content(_["id"]))
-                mail_token = match(r"(\d){5,6}", mail.get_message_content(_["id"])).group(0)
-
-            if mail_token:
-                break
-
-        if logging: print(mail_token)
-
-        response = client.post(
-            f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
-            data={
-                'code': mail_token,
-                'strategy': 'email_code'
-            })
-
-        if logging: print(response.json())
-
-        token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
-
-        with open('accounts.txt', 'a') as f:
-            f.write(f'{mail_adress}:{token}\n')
-
-        if logging: print(time() - start)
-
-        return token
-
-
-class StreamingCompletion:
-    @staticmethod
-    def create(
-            token=None,
-            chatId=None,
-            prompt='',
-            actionType='new',
-            defaultPersona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
-            model='gpt-4') -> ForeFrontResponse:
-
-        if not token: raise Exception('Token is required!')
-        if not chatId: chatId = str(uuid4())
-
-        headers = {
-            'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.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',
-            'authorization': 'Bearer ' + token,
-            'cache-control': 'no-cache',
-            'content-type': 'application/json',
-            'origin': 'https://chat.forefront.ai',
-            'pragma': 'no-cache',
-            'referer': 'https://chat.forefront.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': 'cross-site',
-            '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 = {
-            'text': prompt,
-            'action': actionType,
-            'parentId': chatId,
-            'workspaceId': chatId,
-            'messagePersona': defaultPersona,
-            'model': model
-        }
-
-        for chunk in post('https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
-                          headers=headers, json=json_data, stream=True).iter_lines():
-
-            if b'finish_reason":null' in chunk:
-                data = loads(chunk.decode('utf-8').split('data: ')[1])
-                token = data['choices'][0]['delta'].get('content')
-
-                if token != None:
-                    yield ForeFrontResponse({
-                        'id': chatId,
-                        'object': 'text_completion',
-                        'created': int(time()),
-                        'model': model,
-                        'choices': [{
-                            'text': token,
-                            'index': 0,
-                            'logprobs': None,
-                            'finish_reason': 'stop'
-                        }],
-                        'usage': {
-                            'prompt_tokens': len(prompt),
-                            'completion_tokens': len(token),
-                            'total_tokens': len(prompt) + len(token)
-                        }
-                    })

forefront/typing.py

@@ -1,36 +0,0 @@
-class ForeFrontResponse:
-    class Completion:
-        class Choices:
-            def __init__(self, choice: dict) -> None:
-                self.text = choice['text']
-                self.content = self.text.encode()
-                self.index = choice['index']
-                self.logprobs = choice['logprobs']
-                self.finish_reason = choice['finish_reason']
-
-            def __repr__(self) -> str:
-                return f'''<__main__.APIResponse.Completion.Choices(\n    text           = {self.text.encode()},\n    index          = {self.index},\n    logprobs       = {self.logprobs},\n    finish_reason  = {self.finish_reason})object at 0x1337>'''
-
-        def __init__(self, choices: dict) -> None:
-            self.choices = [self.Choices(choice) for choice in choices]
-
-    class Usage:
-        def __init__(self, usage_dict: dict) -> None:
-            self.prompt_tokens = usage_dict['prompt_tokens']
-            self.completion_tokens = usage_dict['completion_tokens']
-            self.total_tokens = usage_dict['total_tokens']
-
-        def __repr__(self):
-            return f'''<__main__.APIResponse.Usage(\n    prompt_tokens      = {self.prompt_tokens},\n    completion_tokens  = {self.completion_tokens},\n    total_tokens       = {self.total_tokens})object at 0x1337>'''
-
-    def __init__(self, response_dict: dict) -> None:
-        self.response_dict = response_dict
-        self.id = response_dict['id']
-        self.object = response_dict['object']
-        self.created = response_dict['created']
-        self.model = response_dict['model']
-        self.completion = self.Completion(response_dict['choices'])
-        self.usage = self.Usage(response_dict['usage'])
-
-    def json(self) -> dict:
-        return self.response_dict

gpt4free/__init__.py

@@ -0,0 +1,64 @@
+from enum import Enum
+
+from gpt4free import cocalc
+from gpt4free import forefront
+from gpt4free import quora
+from gpt4free import theb
+from gpt4free import you
+
+
+class Provider(Enum):
+    """An enum representing  different providers."""
+
+    You = 'you'
+    Poe = 'poe'
+    ForeFront = 'fore_front'
+    Theb = 'theb'
+    CoCalc = 'cocalc'
+
+
+class Completion:
+    """This class will be used for invoking the given provider"""
+
+    @staticmethod
+    def create(provider: Provider, prompt: str, **kwargs) -> str:
+        """
+        Invokes the given provider with given prompt and addition arguments and returns the string response
+
+        :param provider: an enum representing the provider to use while invoking
+        :param prompt: input provided by the user
+        :param kwargs:  Additional keyword arguments to pass to the provider while invoking
+        :return: A string representing the response from the provider
+        """
+        if provider == Provider.Poe:
+            return Completion.__poe_service(prompt, **kwargs)
+        elif provider == Provider.You:
+            return Completion.__you_service(prompt, **kwargs)
+        elif provider == Provider.ForeFront:
+            return Completion.__fore_front_service(prompt, **kwargs)
+        elif provider == Provider.Theb:
+            return Completion.__theb_service(prompt, **kwargs)
+        elif provider == Provider.CoCalc:
+            return Completion.__cocalc_service(prompt, **kwargs)
+        else:
+            raise Exception('Provider not exist, Please try again')
+
+    @staticmethod
+    def __you_service(prompt: str, **kwargs) -> str:
+        return you.Completion.create(prompt, **kwargs).text
+
+    @staticmethod
+    def __poe_service(prompt: str, **kwargs) -> str:
+        return quora.Completion.create(prompt=prompt, **kwargs).text
+
+    @staticmethod
+    def __fore_front_service(prompt: str, **kwargs) -> str:
+        return forefront.Completion.create(prompt=prompt, **kwargs).text
+
+    @staticmethod
+    def __theb_service(prompt: str, **kwargs):
+        return ''.join(theb.Completion.create(prompt=prompt))
+
+    @staticmethod
+    def __cocalc_service(prompt: str, **kwargs):
+        return cocalc.Completion.create(prompt, cookie_input=kwargs.get('cookie_input', '')).text

gpt4free/cocalc/__init__.py

@@ -0,0 +1,47 @@
+import requests
+from fake_useragent import UserAgent
+from pydantic import BaseModel
+
+
+class CoCalcResponse(BaseModel):
+    text: str
+    status: bool
+
+
+class Completion:
+    @staticmethod
+    def create(prompt: str, cookie_input: str) -> CoCalcResponse:
+        # Initialize a session with custom headers
+        session = Completion._initialize_session(cookie_input)
+
+        # Set the data that will be submitted
+        payload = Completion._create_payload(prompt, 'ASSUME I HAVE FULL ACCESS TO COCALC. ')
+
+        # Submit the request and return the results
+        return Completion._submit_request(session, payload)
+
+    @classmethod
+    def _initialize_session(cls, conversation_cookie) -> requests.Session:
+        """Initialize a session with custom headers for the request."""
+
+        session = requests.Session()
+        headers = {
+            'Accept': '*/*',
+            'Accept-Language': 'en-US,en;q=0.5',
+            'Origin': 'https://cocalc.com',
+            'Referer': 'https://cocalc.com/api/v2/openai/chatgpt',
+            'Cookie': conversation_cookie,
+            'User-Agent': UserAgent().random,
+        }
+        session.headers.update(headers)
+
+        return session
+
+    @staticmethod
+    def _create_payload(prompt: str, system_prompt: str) -> dict:
+        return {'input': prompt, 'system': system_prompt, 'tag': 'next:index'}
+
+    @staticmethod
+    def _submit_request(session: requests.Session, payload: dict) -> CoCalcResponse:
+        response = session.post('https://cocalc.com/api/v2/openai/chatgpt', json=payload).json()
+        return CoCalcResponse(text=response['output'], status=response['success'])

gpt4free/cocalc/readme.md

@@ -1,11 +1,10 @@
 ### Example: `cocalc` <a name="example-cocalc"></a>
 
-
 ```python
 # import library
-import cocalc
+from gpt4free import cocalc
 
-cocalc.Completion.create(prompt="How are you!", cookieInput="cookieinput") ## Tutorial 
+cocalc.Completion.create(prompt="How are you!", cookie_input="cookieinput")  ## Tutorial 
 ```
 
 ### How to grab cookie input

gpt4free/forefront/README.md

@@ -0,0 +1,16 @@
+### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
+
+```python
+
+from gpt4free import forefront
+
+# create an account
+token = forefront.Account.create(logging=False)
+print(token)
+
+# get a response
+for response in forefront.StreamingCompletion.create(token=token,
+                                                     prompt='hello world', model='gpt-4'):
+    print(response.completion.choices[0].text, end='')
+print("")
+```

gpt4free/forefront/__init__.py

@@ -0,0 +1,192 @@
+from json import loads
+from re import match
+from time import time, sleep
+from typing import Generator, Optional
+from uuid import uuid4
+
+from fake_useragent import UserAgent
+from requests import post
+from tls_client import Session
+
+from .mail import Mail
+from .typing import ForeFrontResponse
+
+
+class Account:
+    @staticmethod
+    def create(proxy: Optional[str] = None, logging: bool = False):
+        proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
+
+        start = time()
+
+        mail_client = Mail(proxies)
+        mail_token = None
+        mail_address = mail_client.get_mail()
+
+        # print(mail_address)
+
+        client = Session(client_identifier='chrome110')
+        client.proxies = proxies
+        client.headers = {
+            'origin': 'https://accounts.forefront.ai',
+            'user-agent': UserAgent().random,
+        }
+
+        response = client.post(
+            'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
+            data={'email_address': mail_address},
+        )
+
+        try:
+            trace_token = response.json()['response']['id']
+            if logging:
+                print(trace_token)
+        except KeyError:
+            return 'Failed to create account!'
+
+        response = client.post(
+            f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
+            data={
+                'strategy': 'email_code',
+            },
+        )
+
+        if logging:
+            print(response.text)
+
+        if 'sign_up_attempt' not in response.text:
+            return 'Failed to create account!'
+
+        while True:
+            sleep(1)
+            for _ in mail_client.fetch_inbox():
+                if logging:
+                    print(mail_client.get_message_content(_['id']))
+                mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)
+
+            if mail_token:
+                break
+
+        if logging:
+            print(mail_token)
+
+        response = client.post(
+            f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
+            data={'code': mail_token, 'strategy': 'email_code'},
+        )
+
+        if logging:
+            print(response.json())
+
+        token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
+
+        with open('accounts.txt', 'a') as f:
+            f.write(f'{mail_address}:{token}\n')
+
+        if logging:
+            print(time() - start)
+
+        return token
+
+
+class StreamingCompletion:
+    @staticmethod
+    def create(
+        token=None,
+        chat_id=None,
+        prompt='',
+        action_type='new',
+        default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
+        model='gpt-4',
+    ) -> Generator[ForeFrontResponse, None, None]:
+        if not token:
+            raise Exception('Token is required!')
+        if not chat_id:
+            chat_id = str(uuid4())
+
+        headers = {
+            'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.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',
+            'authorization': 'Bearer ' + token,
+            'cache-control': 'no-cache',
+            'content-type': 'application/json',
+            'origin': 'https://chat.forefront.ai',
+            'pragma': 'no-cache',
+            'referer': 'https://chat.forefront.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': 'cross-site',
+            'user-agent': UserAgent().random,
+        }
+
+        json_data = {
+            'text': prompt,
+            'action': action_type,
+            'parentId': chat_id,
+            'workspaceId': chat_id,
+            'messagePersona': default_persona,
+            'model': model,
+        }
+
+        for chunk in post(
+            'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
+            headers=headers,
+            json=json_data,
+            stream=True,
+        ).iter_lines():
+            if b'finish_reason":null' in chunk:
+                data = loads(chunk.decode('utf-8').split('data: ')[1])
+                token = data['choices'][0]['delta'].get('content')
+
+                if token is not None:
+                    yield ForeFrontResponse(
+                        **{
+                            'id': chat_id,
+                            'object': 'text_completion',
+                            'created': int(time()),
+                            'text': token,
+                            'model': model,
+                            'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
+                            'usage': {
+                                'prompt_tokens': len(prompt),
+                                'completion_tokens': len(token),
+                                'total_tokens': len(prompt) + len(token),
+                            },
+                        }
+                    )
+
+
+class Completion:
+    @staticmethod
+    def create(
+        token=None,
+        chat_id=None,
+        prompt='',
+        action_type='new',
+        default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
+        model='gpt-4',
+    ) -> ForeFrontResponse:
+        text = ''
+        final_response = None
+        for response in StreamingCompletion.create(
+            token=token,
+            chat_id=chat_id,
+            prompt=prompt,
+            action_type=action_type,
+            default_persona=default_persona,
+            model=model,
+        ):
+            if response:
+                final_response = response
+                text += response.text
+
+        if final_response:
+            final_response.text = text
+        else:
+            raise Exception('Unable to get the response, Please try again')
+
+        return final_response

gpt4free/forefront/typing.py

@@ -0,0 +1,26 @@
+from typing import Any, List
+
+from pydantic import BaseModel
+
+
+class Choice(BaseModel):
+    text: str
+    index: int
+    logprobs: Any
+    finish_reason: str
+
+
+class Usage(BaseModel):
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+
+
+class ForeFrontResponse(BaseModel):
+    id: str
+    object: str
+    created: int
+    model: str
+    choices: List[Choice]
+    usage: Usage
+    text: str

gpt4free/quora/README.md

@@ -21,26 +21,25 @@ models = {
 
 ```python
 # import quora (poe) package
-import quora
+from gpt4free import quora
 
 # create account
 # make sure to set enable_bot_creation to True
-token = quora.Account.create(logging = True, enable_bot_creation=True)
+token = quora.Account.create(logging=True, enable_bot_creation=True)
 
 model = quora.Model.create(
-    token = token,
+    token=token,
-    model = 'gpt-3.5-turbo', # or claude-instant-v1.0
+    model='gpt-3.5-turbo',  # or claude-instant-v1.0
-    system_prompt = 'you are ChatGPT a large language model ...' 
+    system_prompt='you are ChatGPT a large language model ...'
 )
 
-print(model.name) # gptx....
+print(model.name)  # gptx....
 
 # streaming response
 for response in quora.StreamingCompletion.create(
-    custom_model = model.name,
+        custom_model=model.name,
-    prompt       ='hello world',
+        prompt='hello world',
-    token        = token):
+        token=token):
-    
     print(response.completion.choices[0].text)
 ```
 

gpt4free/quora/__init__.py

@@ -6,11 +6,12 @@ from pathlib import Path
 from random import choice, choices, randint
 from re import search, findall
 from string import ascii_letters, digits
-from typing import Optional, Union
+from typing import Optional, Union, List, Any, Generator
 from urllib.parse import unquote
 
 import selenium.webdriver.support.expected_conditions as EC
 from fake_useragent import UserAgent
+from pydantic import BaseModel
 from pypasser import reCaptchaV3
 from requests import Session
 from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
@@ -18,8 +19,8 @@ from selenium.webdriver.common.by import By
 from selenium.webdriver.support.wait import WebDriverWait
 from tls_client import Session as TLS
 
-from quora.api import Client as PoeClient
+from .api import Client as PoeClient
-from quora.mail import Emailnator
+from .mail import Emailnator
 
 SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not 
 being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location 
@@ -67,42 +68,27 @@ def extract_formkey(html):
     return formkey
 
 
-class PoeResponse:
+class Choice(BaseModel):
-    class Completion:
+    text: str
-        class Choices:
+    index: int
-            def __init__(self, choice: dict) -> None:
+    logprobs: Any
-                self.text = choice['text']
+    finish_reason: str
-                self.content = self.text.encode()
-                self.index = choice['index']
-                self.logprobs = choice['logprobs']
-                self.finish_reason = choice['finish_reason']
 
-            def __repr__(self) -> str:
-                return f'''<__main__.APIResponse.Completion.Choices(\n    text           = {self.text.encode()},\n    index          = {self.index},\n    logprobs       = {self.logprobs},\n    finish_reason  = {self.finish_reason})object at 0x1337>'''
 
-        def __init__(self, choices: dict) -> None:
+class Usage(BaseModel):
-            self.choices = [self.Choices(choice) for choice in choices]
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
 
-    class Usage:
-        def __init__(self, usage_dict: dict) -> None:
-            self.prompt_tokens = usage_dict['prompt_tokens']
-            self.completion_tokens = usage_dict['completion_tokens']
-            self.total_tokens = usage_dict['total_tokens']
 
-        def __repr__(self):
+class PoeResponse(BaseModel):
-            return f'''<__main__.APIResponse.Usage(\n    prompt_tokens      = {self.prompt_tokens},\n    completion_tokens  = {self.completion_tokens},\n    total_tokens       = {self.total_tokens})object at 0x1337>'''
+    id: int
-
+    object: str
-    def __init__(self, response_dict: dict) -> None:
+    created: int
-        self.response_dict = response_dict
+    model: str
-        self.id = response_dict['id']
+    choices: List[Choice]
-        self.object = response_dict['object']
+    usage: Usage
-        self.created = response_dict['created']
+    text: str
-        self.model = response_dict['model']
-        self.completion = self.Completion(response_dict['choices'])
-        self.usage = self.Usage(response_dict['usage'])
-
-    def json(self) -> dict:
-        return self.response_dict
 
 
 class ModelResponse:
@@ -116,18 +102,12 @@ class ModelResponse:
 class Model:
     @staticmethod
     def create(
-            token: str,
+        token: str,
-            model: str = 'gpt-3.5-turbo',  # claude-instant
+        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 developed by Openai. 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 from openai, skidded by poe.com',
-            handle: str = None,
+        handle: str = None,
     ) -> ModelResponse:
-        models = {
-            'gpt-3.5-turbo': 'chinchilla',
-            'claude-instant-v1.0': 'a2',
-            'gpt-4': 'beaver',
-        }
-
         if not handle:
             handle = f'gptx{randint(1111111, 9999999)}'
 
@@ -162,7 +142,7 @@ class Model:
             obj={
                 'queryName': 'CreateBotMain_poeBotCreate_Mutation',
                 'variables': {
-                    'model': models[model],
+                    'model': MODELS[model],
                     'handle': handle,
                     'prompt': system_prompt,
                     'isPromptPublic': True,
@@ -202,9 +182,9 @@ class Model:
 class Account:
     @staticmethod
     def create(
-            proxy: Optional[str] = None,
+        proxy: Optional[str] = None,
-            logging: bool = False,
+        logging: bool = False,
-            enable_bot_creation: bool = False,
+        enable_bot_creation: bool = False,
     ):
         client = TLS(client_identifier='chrome110')
         client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
@@ -309,22 +289,23 @@ class Account:
 class StreamingCompletion:
     @staticmethod
     def create(
-            model: str = 'gpt-4',
+        model: str = 'gpt-4',
-            custom_model: bool = None,
+        custom_model: bool = None,
-            prompt: str = 'hello world',
+        prompt: str = 'hello world',
-            token: str = '',
+        token: str = '',
-    ):
+    ) -> Generator[PoeResponse, None, None]:
         _model = MODELS[model] if not custom_model else custom_model
 
         client = PoeClient(token)
 
         for chunk in client.send_message(_model, prompt):
             yield PoeResponse(
-                {
+                **{
                     'id': chunk['messageId'],
                     'object': 'text_completion',
                     'created': chunk['creationTime'],
                     'model': _model,
+                    'text': chunk['text_new'],
                     'choices': [
                         {
                             'text': chunk['text_new'],
@@ -343,33 +324,28 @@ class StreamingCompletion:
 
 
 class Completion:
+    @staticmethod
     def create(
-            model: str = 'gpt-4',
+        model: str = 'gpt-4',
-            custom_model: str = None,
+        custom_model: str = None,
-            prompt: str = 'hello world',
+        prompt: str = 'hello world',
-            token: str = '',
+        token: str = '',
-    ):
+    ) -> PoeResponse:
-        models = {
+        _model = MODELS[model] if not custom_model else custom_model
-            'sage': 'capybara',
-            'gpt-4': 'beaver',
-            'claude-v1.2': 'a2_2',
-            'claude-instant-v1.0': 'a2',
-            'gpt-3.5-turbo': 'chinchilla',
-        }
-
-        _model = models[model] if not custom_model else custom_model
 
         client = PoeClient(token)
 
-        for chunk in client.send_message(_model, prompt):
+        chunk = None
-            pass
+        for response in client.send_message(_model, prompt):
+            chunk = response
 
         return PoeResponse(
-            {
+            **{
                 'id': chunk['messageId'],
                 'object': 'text_completion',
                 'created': chunk['creationTime'],
                 'model': _model,
+                'text': chunk['text'],
                 'choices': [
                     {
                         'text': chunk['text'],
@@ -389,12 +365,12 @@ class Completion:
 
 class Poe:
     def __init__(
-            self,
+        self,
-            model: str = 'ChatGPT',
+        model: str = 'ChatGPT',
-            driver: str = 'firefox',
+        driver: str = 'firefox',
-            download_driver: bool = False,
+        download_driver: bool = False,
-            driver_path: Optional[str] = None,
+        driver_path: Optional[str] = None,
-            cookie_path: str = './quora/cookie.json',
+        cookie_path: str = './quora/cookie.json',
     ):
         # validating the model
         if model and model not in MODELS:
@@ -451,8 +427,8 @@ class Poe:
         driver.close()
         return cookie
 
-    @classmethod
+    @staticmethod
-    def __resolve_driver(cls, driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
+    def __resolve_driver(driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
         options = FirefoxOptions() if driver == 'firefox' else ChromeOptions()
         options.add_argument('-headless')
 
@@ -473,12 +449,12 @@ class Poe:
         return response
 
     def create_bot(
-            self,
+        self,
-            name: str,
+        name: str,
-            /,
+        /,
-            prompt: str = '',
+        prompt: str = '',
-            base_model: str = 'ChatGPT',
+        base_model: str = 'ChatGPT',
-            description: str = '',
+        description: str = '',
     ) -> None:
         if base_model not in MODELS:
             raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')

gpt4free/theb/README.md

@@ -1,9 +1,8 @@
 ### Example: `theb` (use like openai pypi package) <a name="example-theb"></a>
 
-
 ```python
 # import library
-import theb
+from gpt4free import theb
 
 # simple streaming completion
 for token in theb.Completion.create('hello world'):

gpt4free/you/README.md

@@ -1,7 +1,8 @@
 ### Example: `you` (use like openai pypi package) <a name="example-you"></a>
 
 ```python
-import you
+
+from gpt4free import you
 
 # simple request with links and details
 response = you.Completion.create(

gpt4free/you/__init__.py

@@ -1,28 +1,36 @@
+import json
 import re
-from json import loads
+from typing import Optional, List, Dict, Any
 from uuid import uuid4
 
 from fake_useragent import UserAgent
+from pydantic import BaseModel
 from tls_client import Session
 
 
+class PoeResponse(BaseModel):
+    text: Optional[str] = None
+    links: List[str] = []
+    extra: Dict[str, Any] = {}
+
+
 class Completion:
     @staticmethod
     def create(
-            prompt: str,
+        prompt: str,
-            page: int = 1,
+        page: int = 1,
-            count: int = 10,
+        count: int = 10,
-            safe_search: str = 'Moderate',
+        safe_search: str = 'Moderate',
-            on_shopping_page: bool = False,
+        on_shopping_page: bool = False,
-            mkt: str = '',
+        mkt: str = '',
-            response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
+        response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
-            domain: str = 'youchat',
+        domain: str = 'youchat',
-            query_trace_id: str = None,
+        query_trace_id: str = None,
-            chat: list = None,
+        chat: list = None,
-            include_links: bool = False,
+        include_links: bool = False,
-            detailed: bool = False,
+        detailed: bool = False,
-            debug: bool = False,
+        debug: bool = False,
-    ) -> dict:
+    ) -> PoeResponse:
         if chat is None:
             chat = []
 
@@ -57,26 +65,28 @@ class Completion:
             r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
         ).group()
         third_party_search_results = re.search(
-            r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text).group()
+            r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
+        ).group()
         # slots                   = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
 
         text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
 
         extra = {
-            'youChatSerpResults': loads(you_chat_serp_results),
+            'youChatSerpResults': json.loads(you_chat_serp_results),
             # 'slots'                   : loads(slots)
         }
 
-        return {
+        response = PoeResponse(text=text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'))
-            'response': text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'),
+        if include_links:
-            'links': loads(third_party_search_results)['search']['third_party_search_results']
+            response.links = json.loads(third_party_search_results)['search']['third_party_search_results']
-            if include_links
-            else None,
-            'extra': extra if detailed else None,
-        }
 
-    @classmethod
+        if detailed:
-    def __get_headers(cls) -> dict:
+            response.extra = extra
+
+        return response
+
+    @staticmethod
+    def __get_headers() -> dict:
         return {
             'authority': 'you.com',
             'accept': 'text/event-stream',
@@ -93,6 +103,6 @@ class Completion:
             'user-agent': UserAgent().random,
         }
 
-    @classmethod
+    @staticmethod
-    def __get_failure_response(cls) -> dict:
+    def __get_failure_response() -> PoeResponse:
-        return dict(response='Unable to fetch the response, Please try again.', links=[], extra={})
+        return PoeResponse(text='Unable to fetch the response, Please try again.')

gui/query_methods.py

@@ -3,7 +3,7 @@ import sys
 
 sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
 
-import forefront, quora, theb, you
+from gpt4free import quora, forefront, theb, you
 import random
 
 
@@ -15,7 +15,7 @@ def query_forefront(question: str) -> str:
     response = ""
     # get a response
     try:
-        for i in forefront.StreamingCompletion.create(token = token, prompt = 'hello world', model='gpt-4'):
+        for i in forefront.StreamingCompletion.create(token = token, prompt ='hello world', model='gpt-4'):
             response += i.completion.choices[0].text
         
         return response

gui/streamlit_app.py

@@ -4,7 +4,7 @@ import sys
 sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
 
 import streamlit as st
-import you
+from gpt4free import you
 
 
 def get_answer(question: str) -> str:

pyproject.toml

@@ -5,7 +5,7 @@ description = ""
 authors = ["Raju Komati <komatiraju032@gmail.com>"]
 license = "GPL-3.0"
 readme = "README.md"
-packages = [{ include = "openai_rev" }]
+packages = [{ include = "gpt4free" }]
 exclude = ["**/*.txt"]
 
 [tool.poetry.dependencies]

test.py

@@ -1,4 +1,4 @@
-import theb
+from gpt4free import theb
 
 for token in theb.Completion.create('hello world'):
     print(token, end='', flush=True)

testing/forefront_test.py

@@ -1,4 +1,4 @@
-from openai_rev import forefront
+from gpt4free import forefront
 
 # create an account
 token = forefront.Account.create(logging=True)

testing/poe_account_create_test.py

@@ -6,8 +6,8 @@ from typing import Optional
 from tls_client import Session as TLS
 from twocaptcha import TwoCaptcha
 
-from openai_rev.quora import extract_formkey
+from gpt4free.quora import extract_formkey
-from openai_rev.quora.mail import Emailnator
+from gpt4free.quora.mail import Emailnator
 
 solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
 

testing/poe_test.py

@@ -1,6 +1,6 @@
 from time import sleep
 
-from  openai_rev import quora
+from  gpt4free import quora
 
 token = quora.Account.create(proxy=None, logging=True)
 print('token', token)

testing/quora_test_2.py

@@ -1,4 +1,4 @@
-from openai_rev import quora
+from gpt4free import quora
 
 token = quora.Account.create(logging=True, enable_bot_creation=True)
 

testing/test_main.py

@@ -1,24 +1,28 @@
-from openai_rev import openai_rev, Provider, quora, forefront
+import gpt4free
+from gpt4free import Provider, quora, forefront
 
 # usage You
-response = openai_rev.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
+response = gpt4free.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
 print(response)
 
 # usage Poe
-token = quora.Account.create(logging=False)
+# token = quora.Account.create(logging=False)
-response = openai_rev.Completion.create(
+token = 'GKzCahZYGKhp76LfE197xw=='
-    Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT'
+response = gpt4free.Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT')
-)
 print(response)
 
 # usage forefront
 token = forefront.Account.create(logging=False)
-response = openai_rev.Completion.create(
+response = gpt4free.Completion.create(
     Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
 )
 print(response)
 print(f'END')
 
 # usage theb
-response = openai_rev.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
+response = gpt4free.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
+print(response)
+
+# usage cocalc
+response = gpt4free.Completion.create(Provider.CoCalc, prompt='Write a poem on Lionel Messi', cookie_input='')
 print(response)

testing/you_test.py

@@ -1,4 +1,4 @@
-from openai_rev import you
+from gpt4free import you
 
 # simple request with links and details
 response = you.Completion.create(prompt="hello world", detailed=True, include_links=True)
@@ -22,6 +22,6 @@ while True:
 
     response = you.Completion.create(prompt=prompt, chat=chat)
 
-    print("Bot:", response["response"])
+    print("Bot:", response.text)
 
-    chat.append({"question": prompt, "answer": response["response"]})
+    chat.append({"question": prompt, "answer": response.text})