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Modified
g4f/Provider/nexra/NexraChatGPT.py
+34
-33
XFEstudio/gpt4free
Restored providers (g4f/Provider/nexra/NexraChatGPT.py)
817d36e6
代码差异
1 个文件
+34
-33
@@ -1,22 +1,20 @@
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from __future__ import annotations
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from aiohttp import ClientSession
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import json
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import requests
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
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from ...typing import CreateResult, Messages
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from ..base_provider import ProviderModelMixin, AbstractProvider
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from ..helper import format_prompt
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class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
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class NexraChatGPT(AbstractProvider, ProviderModelMixin):
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label = "Nexra ChatGPT"
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url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
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api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt"
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working = False
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supports_stream = False
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working = True
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default_model = 'gpt-3.5-turbo'
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models = ['gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314', 'gpt-3.5-turbo', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002']
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models = ['gpt-4', 'gpt-4-0613', 'gpt-4-0314', 'gpt-4-32k-0314', default_model, 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k-0613', 'gpt-3.5-turbo-0301', 'text-davinci-003', 'text-davinci-002', 'code-davinci-002', 'gpt-3', 'text-curie-001', 'text-babbage-001', 'text-ada-001', 'davinci', 'curie', 'babbage', 'ada', 'babbage-002', 'davinci-002']
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model_aliases = {
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"gpt-4": "gpt-4-0613",
@@ -44,7 +42,6 @@ class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
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"gpt-3": "davinci-002",
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}
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@classmethod
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def get_model(cls, model: str) -> str:
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if model in cls.models:
@@ -53,35 +50,39 @@ class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin):
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return cls.model_aliases[model]
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else:
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return cls.default_model
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@classmethod
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async def create_async_generator(
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def create_completion(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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stream: bool,
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**kwargs
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) -> AsyncResult:
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) -> CreateResult:
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model = cls.get_model(model)
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headers = {
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"Content-Type": "application/json"
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'Content-Type': 'application/json'
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}
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data = {
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"messages": [],
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"prompt": format_prompt(messages),
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"model": model,
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"markdown": False
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}
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async with ClientSession(headers=headers) as session:
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prompt = format_prompt(messages)
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data = {
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"messages": messages,
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"prompt": prompt,
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"model": model,
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"markdown": False
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}
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async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
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response.raise_for_status()
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response_text = await response.text()
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try:
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if response_text.startswith('_'):
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response_text = response_text[1:]
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response_data = json.loads(response_text)
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yield response_data.get('gpt', '')
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except json.JSONDecodeError:
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yield ''
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response = requests.post(cls.api_endpoint, headers=headers, json=data)
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return cls.process_response(response)
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@classmethod
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def process_response(cls, response):
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if response.status_code == 200:
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try:
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data = response.json()
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return data.get('gpt', '')
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except json.JSONDecodeError:
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return "Error: Unable to decode JSON response"
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else:
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return f"Error: {response.status_code}"