xtekky/gpt4free
1
1
Fork 0
mirror of https://github.com/xtekky/gpt4free.git synced 2024-12-25 04:01:52 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #1300 from hlohaus/go

Browse Source 
Update pi provider
This commit is contained in:
H Lohaus 2023-12-02 00:08:34 +01:00 committed by GitHub
commit f2bdd83950
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 98 additions and 142 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

111
g4f/Provider/PI.py
View File

@ -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

93
g4f/Provider/Pi.py Normal file
View File

@ -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

6
g4f/Provider/__init__.py
View File

@ -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__

5
g4f/models.py
View File

@ -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:

25
piexample.py
View File

@ -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)