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-rw-r--r--g4f/Provider/nexra/NexraChatGptWeb.py69
1 files changed, 69 insertions, 0 deletions
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
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+++ b/g4f/Provider/nexra/NexraChatGptWeb.py
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+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