update openai_rev module add test file with simple use

openai_rev/__init__.py

@@ -0,0 +1 @@
+from .openai_rev import Provider

openai_rev/forefront/__init__.py

@@ -1,9 +1,9 @@
 from json import loads
 from re import match
 from time import time, sleep
+from typing import Generator, Optional
 from uuid import uuid4
 
-from altair.vegalite.v3 import Generator
 from fake_useragent import UserAgent
 from requests import post
 from tls_client import Session
@@ -14,7 +14,7 @@ from .models import ForeFrontResponse
 
 class Account:
     @staticmethod
-    def create(proxy=None, logging=False):
+    def create(proxy: Optional[str] = None, logging: bool = False):
         proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
 
         start = time()
@@ -57,7 +57,8 @@ class Account:
         while True:
             sleep(1)
             for _ in mail_client.fetch_inbox():
-                print(mail_client.get_message_content(_['id']))
+                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:
@@ -166,7 +167,9 @@ class Completion:
         default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0',  # default
         model='gpt-4',
     ) -> ForeFrontResponse:
+        text = ''
         final_response = None
+        res = list(StreamingCompletion.create(token=token, prompt=prompt))
         for response in StreamingCompletion.create(
             token=token,
             chat_id=chat_id,
@@ -175,6 +178,13 @@ class Completion:
             default_persona=default_persona,
             model=model,
         ):
-            final_response = response
+            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

openai_rev/openai_rev.py

@@ -1,12 +1,14 @@
 from enum import Enum
 
-import quora
+from openai_rev import forefront
-import you
+from openai_rev import quora
+from openai_rev import you
 
 
 class Provider(Enum):
     You = 'you'
     Poe = 'poe'
+    ForeFront = 'fore_front'
 
 
 class Completion:
@@ -16,20 +18,17 @@ class Completion:
             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)
 
     @classmethod
     def __you_service(cls, prompt: str, **kwargs) -> str:
-        return you.Completion.create(prompt).text
+        return you.Completion.create(prompt, **kwargs).text
 
     @classmethod
     def __poe_service(cls, prompt: str, **kwargs) -> str:
-        return quora.Completion.create(prompt=prompt).text
+        return quora.Completion.create(prompt=prompt, **kwargs).text
 
-
+    @classmethod
-# usage You
+    def __fore_front_service(cls, prompt: str, **kwargs) -> str:
-response = Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
+        return forefront.Completion.create(prompt=prompt, **kwargs).text
-print(response)
-
-# usage Poe
-response = Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token='GKzCahZYGKhp76LfE197xw==')
-print(response)

openai_rev/phind/README.md

@@ -1,37 +0,0 @@
-### Example: `phind` (use like openai pypi package) <a name="example-phind"></a>
-
-```python
-
-from openai_rev import phind
-
-# set cf_clearance cookie (needed again)
-phind.cf_clearance = 'xx.xx-1682166681-0-160'
-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'  # same as the one from browser you got cf_clearance from
-
-prompt = 'who won the quatar world cup'
-
-# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
-# stream completion
-for result in phind.StreamingCompletion.create(
-        model='gpt-4',
-        prompt=prompt,
-        results=phind.Search.create(prompt, actualSearch=True),
-        # create search (set actualSearch to False to disable internet)
-        creative=False,
-        detailed=False,
-        codeContext=''):  # up to 3000 chars of code
-
-    print(result.completion.choices[0].text, end='', flush=True)
-
-# normal completion
-result = phind.Completion.create(
-    model='gpt-4',
-    prompt=prompt,
-    results=phind.Search.create(prompt, actualSearch=True),
-    # create search (set actualSearch to False to disable internet)
-    creative=False,
-    detailed=False,
-    codeContext='')  # up to 3000 chars of code
-
-print(result.completion.choices[0].text)
-```

openai_rev/quora/__init__.py

@@ -108,11 +108,6 @@ class Model:
         description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
         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)}'
@@ -148,7 +143,7 @@ class Model:
             obj={
                 'queryName': 'CreateBotMain_poeBotCreate_Mutation',
                 'variables': {
-                    'model': models[model],
+                    'model': MODELS[model],
                     'handle': handle,
                     'prompt': system_prompt,
                     'isPromptPublic': True,
@@ -337,15 +332,7 @@ class Completion:
         prompt: str = 'hello world',
         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)
 
@@ -359,7 +346,7 @@ class Completion:
                 'object': 'text_completion',
                 'created': chunk['creationTime'],
                 'model': _model,
-                'text': chunk['text_new'],
+                'text': chunk['text'],
                 'choices': [
                     {
                         'text': chunk['text'],

testing/accounts.txt

@@ -1,3 +1,17 @@
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testing/forefront_test.py

@@ -6,4 +6,4 @@ print(token)
 
 # get a response
 for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
-    print(response)
+    print(response.text, end='')

testing/poe_account_create_test.py

@@ -1,17 +1,20 @@
 from hashlib import md5
 from json import dumps
 from re import findall
+from typing import Optional
 
-from quora import extract_formkey
-from quora.mail import Emailnator
 from tls_client import Session as TLS
 from twocaptcha import TwoCaptcha
 
+from openai_rev.quora import extract_formkey
+from openai_rev.quora.mail import Emailnator
+
 solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
 
 
 class Account:
-    def create(proxy: None or str = None, logging: bool = False, enable_bot_creation: bool = False):
+    @staticmethod
+    def create(proxy: Optional[str] = None, logging: 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
 

testing/poe_test.py

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

testing/test_main.py

@@ -0,0 +1,21 @@
+from openai_rev import openai_rev, Provider, quora, forefront
+
+# usage You
+response = openai_rev.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
+print(response)
+print(f'END')
+# usage Poe
+# token = quora.Account.create(logging=False)
+token = 'GKzCahZYGKhp76LfE197xw=='
+response = openai_rev.Completion.create(
+    Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT'
+)
+print(response)
+print(f'END')
+
+# usage forefront
+token = forefront.Account.create(logging=False)
+response = openai_rev.Completion.create(
+    Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
+)
+print(response)