Merge pull request #1300 from hlohaus/go

Update pi provider

g4f/Provider/PI.py

@@ -1,111 +0,0 @@
-from __future__ import annotations
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider
-
-import json
-import cloudscraper
-
-class PI(AsyncGeneratorProvider):
-    url                   = "https://chat-gpt.com"
-    working               = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncResult:
-        Conversation = kwargs['conversation']
-        UserPrompt = messages[-1]
-        if UserPrompt['role'] == 'user':
-            UserPrompt = UserPrompt['content']
-        else:
-            UserPrompt = messages[-2]['content']
-        if Conversation == None:
-            Conversation = PI.Start_Conversation()
-        Answer = Ask_PI(UserPrompt,Conversation['sid'],Conversation['cookies'])
-
-        yield Answer[0]['text']
-
-    def Start_Conversation():
-        scraper.headers = {
-            'accept-type': 'application/json'
-        }
-        response = scraper.post('https://pi.ai/api/chat/start', data="{}",headers={'x-api-version': '3'})
-        cookies = response.cookies
-
-        if 'Just a moment' in response.text:
-            return {
-                'error': 'cloudflare detected',
-                'sid': None,
-                'cookies': None,
-            }
-        return {
-            'sid': response.json()['conversations'][0]['sid'],
-            'cookies': cookies
-        }
-        
-    def GetConversationTitle(Conversation):
-        response = scraper.post('https://pi.ai/api/chat/start', data="{}",headers={'x-api-version': '3'}, cookies=Conversation['cookies'])
-        if 'Just a moment' in response.text:
-            return {
-                'error': 'cloudflare detected',
-                'title': 'Couldnt get the title',
-            }
-        return {
-            'title': response.json()['conversations'][0]['title']
-        }
-        
-    def GetChatHistory(Conversation):
-        params = {
-            'conversation': Conversation['sid'],
-        }
-        response = scraper.get('https://pi.ai/api/chat/history', params=params, cookies=Conversation['cookies'])
-        if 'Just a moment' in response.text:
-            return {
-                'error': 'cloudflare detected',
-                'traceback': 'Couldnt get the chat history'
-            }
-        return response.json()
-
-session = cloudscraper.session()
-
-scraper = cloudscraper.create_scraper(
-    browser={
-        'browser': 'chrome',
-        'platform': 'windows',
-        'desktop': True
-    },
-    sess=session
-)
-
-scraper.headers = {
-    'Accept': '*/*',
-    'Accept-Encoding': 'deflate,gzip,br',
-}
-
-def Ask_PI(message,sid,cookies):
-    json_data = {
-        'text': message,
-        'conversation': sid,
-        'mode': 'BASE',
-    }
-    response = scraper.post('https://pi.ai/api/chat', json=json_data, cookies=cookies)
-    
-    if 'Just a moment' in response.text:
-        return [{
-            'error': 'cloudflare detected',
-            'text': 'Couldnt generate the answer because we got detected by cloudflare please try again later'
-        }
-        ]
-    result = []
-    for line in response.iter_lines(chunk_size=1024, decode_unicode=True):
-        if line.startswith('data: {"text":'):
-            result.append(json.loads(line.split('data: ')[1].encode('utf-8')))
-        if line.startswith('data: {"title":'):
-            result.append(json.loads(line.split('data: ')[1].encode('utf-8')))
-            
-    return result

g4f/Provider/Pi.py

@@ -0,0 +1,93 @@
+from __future__ import annotations
+
+from ..typing import CreateResult, Messages
+from .base_provider import BaseProvider, format_prompt
+
+import json
+from cloudscraper import CloudScraper, session, create_scraper
+
+class Pi(BaseProvider):
+    url             = "https://chat-gpt.com"
+    working         = True
+    supports_stream = True
+
+    @classmethod
+    def create_completion(
+        cls,
+        model: str,
+        messages: Messages,
+        stream: bool,
+        proxy: str = None,
+        scraper: CloudScraper = None,
+        conversation: dict = None,
+        **kwargs
+    ) -> CreateResult:
+        if not scraper:
+            scraper = cls.get_scraper()
+        if not conversation:
+            conversation = cls.start_conversation(scraper)
+        answer = cls.ask(scraper, messages, conversation)
+
+        last_answer = 0
+        for line in answer:
+            if "text" in line:
+                yield line["text"][last_answer:]
+                last_answer = len(line["text"])
+        
+    def get_scraper():
+        scraper = create_scraper(
+            browser={
+                'browser': 'chrome',
+                'platform': 'windows',
+                'desktop': True
+            },
+            sess=session()
+        )
+        scraper.headers = {
+            'Accept': '*/*',
+            'Accept-Encoding': 'deflate,gzip,br',
+        }
+        return scraper
+
+    def start_conversation(scraper: CloudScraper):
+        response = scraper.post('https://pi.ai/api/chat/start', data="{}", headers={
+            'accept': 'application/json',
+            'x-api-version': '3'
+        })
+        if 'Just a moment' in response.text:
+            raise RuntimeError('Error: Cloudflare detected')
+        return Conversation(
+            response.json()['conversations'][0]['sid'],
+            response.cookies
+        )
+        
+    def get_chat_history(scraper: CloudScraper, conversation: Conversation):
+        params = {
+            'conversation': conversation.sid,
+        }
+        response = scraper.get('https://pi.ai/api/chat/history', params=params, cookies=conversation.cookies)
+        if 'Just a moment' in response.text:
+            raise RuntimeError('Error: Cloudflare detected')
+        return response.json()
+
+    def ask(scraper: CloudScraper, messages: Messages, conversation: Conversation):
+        json_data = {
+            'text': format_prompt(messages),
+            'conversation': conversation.sid,
+            'mode': 'BASE',
+        }
+        response = scraper.post('https://pi.ai/api/chat', json=json_data, cookies=conversation.cookies, stream=True)
+        
+        for line in response.iter_lines(chunk_size=1024, decode_unicode=True):
+            if 'Just a moment' in line:
+                raise RuntimeError('Error: Cloudflare detected')
+            if line.startswith('data: {"text":'):
+               yield json.loads(line.split('data: ')[1])
+            if line.startswith('data: {"title":'):
+               yield json.loads(line.split('data: ')[1])
+                
+class Conversation():
+    def __init__(self, sid: str, cookies):
+        self.sid = sid
+        self.cookies = cookies
+        

g4f/Provider/__init__.py

@@ -44,6 +44,7 @@ from .OnlineGpt       import OnlineGpt
 from .Opchatgpts      import Opchatgpts
 from .PerplexityAi    import PerplexityAi
 from .Phind           import Phind
+from .Pi              import Pi
 from .TalkAi          import TalkAi
 from .Vercel          import Vercel
 from .Ylokh           import Ylokh
@@ -65,10 +66,9 @@ __providers__: list[type[BaseProvider]] = [
 __all__: list[str] = [
     provider.__name__ for provider in __providers__
 ]
-__map__: dict[str, BaseProvider] = dict([
+__map__: dict[str, type[BaseProvider]] = dict([
     (provider.__name__, provider) for provider in __providers__
 ])
 
 class ProviderUtils:
-    convert: dict[str, BaseProvider] = __map__
-from .PI import PI
+    convert: dict[str, type[BaseProvider]] = __map__

g4f/models.py

@@ -11,7 +11,6 @@ from .Provider   import (
     ChatgptAi,
     DeepInfra,
     OnlineGpt,
-    ChatgptX,
     ChatBase,
     Liaobots,
     GeekGpt,
@@ -27,7 +26,7 @@ from .Provider   import (
     Bing,
     You,
     H2o,
-    PI,
+    Pi,
 )
 
 @dataclass(unsafe_hash=True)
@@ -264,7 +263,7 @@ llama70b_v2_chat = Model(
 pi = Model(
     name = 'pi',
     base_provider = 'inflection',
-    best_provider=PI
+    best_provider=Pi
 )
 
 class ModelUtils:

piexample.py

@@ -1,25 +0,0 @@
-from g4f import Provider
-
-import g4f
-
-Conversation = Provider.PI.Start_Conversation()
-
-Chat_History = Provider.PI.GetChatHistory(Conversation)
-
-response = g4f.ChatCompletion.create(
-    model="pi", 
-    provider=g4f.Provider.PI,
-    messages=[
-        {
-            "role": "user",
-            "content": 'Hello who are you?'
-        }
-    ], 
-    stream=False,
-    conversation=Conversation
-)
-
-for message in response:
-    print(message, flush=True, end='')
-    
-Chat_Title = Provider.PI.GetConversationTitle(Conversation)