diff options
| -rw-r--r-- | g4f/Provider/nexra/NexraChatGPT.py | 67 |
1 files changed, 34 insertions, 33 deletions
diff --git a/g4f/Provider/nexra/NexraChatGPT.py b/g4f/Provider/nexra/NexraChatGPT.py index c7e55a83..497952f6 100644 --- a/g4f/Provider/nexra/NexraChatGPT.py +++ b/g4f/Provider/nexra/NexraChatGPT.py @@ -1,22 +1,20 @@ from __future__ import annotations -from aiohttp import ClientSession import json +import requests -from ...typing import AsyncResult, Messages -from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ...typing import CreateResult, Messages +from ..base_provider import ProviderModelMixin, AbstractProvider from ..helper import format_prompt - -class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin): +class NexraChatGPT(AbstractProvider, ProviderModelMixin): label = "Nexra ChatGPT" url = "https://nexra.aryahcr.cc/documentation/chatgpt/en" api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt" - working = False - supports_stream = False + working = True default_model = 'gpt-3.5-turbo' - 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'] + 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'] model_aliases = { "gpt-4": "gpt-4-0613", @@ -44,7 +42,6 @@ class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin): "gpt-3": "davinci-002", } - @classmethod def get_model(cls, model: str) -> str: if model in cls.models: @@ -53,35 +50,39 @@ class NexraChatGPT(AsyncGeneratorProvider, ProviderModelMixin): return cls.model_aliases[model] else: return cls.default_model - + @classmethod - async def create_async_generator( + def create_completion( cls, model: str, messages: Messages, - proxy: str = None, + stream: bool, **kwargs - ) -> AsyncResult: + ) -> CreateResult: model = cls.get_model(model) - + headers = { - "Content-Type": "application/json" + 'Content-Type': 'application/json' + } + + data = { + "messages": [], + "prompt": format_prompt(messages), + "model": model, + "markdown": False } - async with ClientSession(headers=headers) as session: - prompt = format_prompt(messages) - data = { - "messages": messages, - "prompt": prompt, - "model": model, - "markdown": False - } - async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: - response.raise_for_status() - response_text = await response.text() - try: - if response_text.startswith('_'): - response_text = response_text[1:] - response_data = json.loads(response_text) - yield response_data.get('gpt', '') - except json.JSONDecodeError: - yield '' + + response = requests.post(cls.api_endpoint, headers=headers, json=data) + + return cls.process_response(response) + + @classmethod + def process_response(cls, response): + if response.status_code == 200: + try: + data = response.json() + return data.get('gpt', '') + except json.JSONDecodeError: + return "Error: Unable to decode JSON response" + else: + return f"Error: {response.status_code}" |