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Diffstat (limited to 'g4f/Provider/Nexra.py')
-rw-r--r-- | g4f/Provider/Nexra.py | 111 |
1 files changed, 111 insertions, 0 deletions
diff --git a/g4f/Provider/Nexra.py b/g4f/Provider/Nexra.py new file mode 100644 index 00000000..4914b930 --- /dev/null +++ b/g4f/Provider/Nexra.py @@ -0,0 +1,111 @@ +from __future__ import annotations + +import json +from aiohttp import ClientSession + +from ..typing import AsyncResult, Messages +from .base_provider import AsyncGeneratorProvider, ProviderModelMixin +from .helper import format_prompt + + +class Nexra(AsyncGeneratorProvider, ProviderModelMixin): + url = "https://nexra.aryahcr.cc" + api_endpoint = "https://nexra.aryahcr.cc/api/chat/gpt" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + supports_stream = True + supports_system_message = True + supports_message_history = True + + default_model = 'gpt-3.5-turbo' + models = [ + # Working with text + 'gpt-4', + 'gpt-4-0613', + 'gpt-4-32k', + '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', + + 'gpt-3', + 'text-davinci-003', + 'text-davinci-002', + 'code-davinci-002', + 'text-curie-001', + 'text-babbage-001', + 'text-ada-001', + 'davinci', + 'curie', + 'babbage', + 'ada', + 'babbage-002', + 'davinci-002', + ] + + model_aliases = { + "gpt-4": "gpt-4-0613", + "gpt-4": "gpt-4-32k", + "gpt-4": "gpt-4-0314", + "gpt-4": "gpt-4-32k-0314", + + "gpt-3.5-turbo": "gpt-3.5-turbo-16k", + "gpt-3.5-turbo": "gpt-3.5-turbo-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613", + "gpt-3.5-turbo": "gpt-3.5-turbo-0301", + + "gpt-3": "text-davinci-003", + "gpt-3": "text-davinci-002", + "gpt-3": "code-davinci-002", + "gpt-3": "text-curie-001", + "gpt-3": "text-babbage-001", + "gpt-3": "text-ada-001", + "gpt-3": "text-ada-001", + "gpt-3": "davinci", + "gpt-3": "curie", + "gpt-3": "babbage", + "gpt-3": "ada", + "gpt-3": "babbage-002", + "gpt-3": "davinci-002", + } + + @classmethod + def get_model(cls, model: str) -> str: + if model in cls.models: + return model + elif model in cls.model_aliases: + return cls.model_aliases[model] + else: + return cls.default_model + + @classmethod + async def create_async_generator( + cls, + model: str, + messages: Messages, + proxy: str = None, + **kwargs + ) -> AsyncResult: + model = cls.get_model(model) + + headers = { + "Content-Type": "application/json", + } + async with ClientSession(headers=headers) as session: + data = { + "messages": messages, + "prompt": format_prompt(messages), + "model": model, + "markdown": False, + "stream": False, + } + async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response: + response.raise_for_status() + result = await response.text() + json_result = json.loads(result) + yield json_result["gpt"] |