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author | Tekky <98614666+xtekky@users.noreply.github.com> | 2024-10-15 11:51:53 +0200 |
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committer | GitHub <noreply@github.com> | 2024-10-15 11:51:53 +0200 |
commit | 5ed3467d07181e876d957984c16782d687abd3b5 (patch) | |
tree | 23bd0fd3481d81fca70ac3c7842cb7ffa8f6497f /g4f/Provider/nexra/NexraChatGptWeb.py | |
parent | Merge pull request #2268 from yjg30737/patch-1 (diff) | |
parent | Updated(docs/client.md) (diff) | |
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Diffstat (limited to 'g4f/Provider/nexra/NexraChatGptWeb.py')
-rw-r--r-- | g4f/Provider/nexra/NexraChatGptWeb.py | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py new file mode 100644 index 00000000..d14a2162 --- /dev/null +++ b/g4f/Provider/nexra/NexraChatGptWeb.py @@ -0,0 +1,69 @@ +from __future__ import annotations + +from aiohttp import ClientSession, ContentTypeError +import json + +from ...typing import AsyncResult, Messages +from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin +from ..helper import format_prompt + + +class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin): + label = "Nexra ChatGPT Web" + url = "https://nexra.aryahcr.cc/documentation/chatgpt/en" + api_endpoint = "https://nexra.aryahcr.cc/api/chat/{}" + working = True + supports_gpt_35_turbo = True + supports_gpt_4 = True + supports_stream = True + + default_model = 'gptweb' + models = [default_model] + + model_aliases = { + "gpt-4": "gptweb", + } + + + @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, + markdown: bool = False, + **kwargs + ) -> AsyncResult: + headers = { + "Content-Type": "application/json" + } + async with ClientSession(headers=headers) as session: + prompt = format_prompt(messages) + data = { + "prompt": prompt, + "markdown": markdown + } + model = cls.get_model(model) + endpoint = cls.api_endpoint.format(model) + async with session.post(endpoint, json=data, proxy=proxy) as response: + response.raise_for_status() + response_text = await response.text() + + # Remove leading underscore if present + if response_text.startswith('_'): + response_text = response_text[1:] + + try: + response_data = json.loads(response_text) + yield response_data.get('gpt', response_text) + except json.JSONDecodeError: + yield response_text |