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import requests, json, random
from abc import ABC, abstractmethod
from ..typing import Any, CreateResult
class FastGpt(ABC):
url: str = 'https://chat9.fastgpt.me/'
working = False
needs_auth = False
supports_stream = True
supports_gpt_35_turbo = True
supports_gpt_4 = False
@staticmethod
@abstractmethod
def create_completion(
model: str,
messages: list[dict[str, str]],
stream: bool,
**kwargs: Any) -> CreateResult:
headers = {
'authority': 'chat9.fastgpt.me',
'accept': 'text/event-stream',
'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',
'cache-control': 'no-cache',
'content-type': 'application/json',
# 'cookie': 'cf_clearance=idIAwtoSCn0uCzcWLGuD.KtiAJv9a1GsPduEOqIkyHU-1692278595-0-1-cb11fd7a.ab1546d4.ccf35fd7-0.2.1692278595; Hm_lvt_563fb31e93813a8a7094966df6671d3f=1691966491,1692278597; Hm_lpvt_563fb31e93813a8a7094966df6671d3f=1692278597',
'origin': 'https://chat9.fastgpt.me',
'plugins': '0',
'pragma': 'no-cache',
'referer': 'https://chat9.fastgpt.me/',
'sec-ch-ua': '"Not/A)Brand";v="99", "Google Chrome";v="115", "Chromium";v="115"',
'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/115.0.0.0 Safari/537.36',
'usesearch': 'false',
'x-requested-with': 'XMLHttpRequest',
}
json_data = {
'messages': messages,
'stream': stream,
'model': model,
'temperature': kwargs.get('temperature', 0.5),
'presence_penalty': kwargs.get('presence_penalty', 0),
'frequency_penalty': kwargs.get('frequency_penalty', 0),
'top_p': kwargs.get('top_p', 1),
}
subdomain = random.choice([
'jdaen979ew',
'chat9'
])
response = requests.post(f'https://{subdomain}.fastgpt.me/api/openai/v1/chat/completions',
headers=headers, json=json_data, stream=stream)
for line in response.iter_lines():
if line:
try:
if b'content' in line:
line_json = json.loads(line.decode('utf-8').split('data: ')[1])
token = line_json['choices'][0]['delta'].get('content')
if token:
yield token
except:
continue
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
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