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- from __future__ import annotations
- import json
- import requests
- from ...typing import CreateResult, Messages
- from ..base_provider import ProviderModelMixin, AbstractProvider
- from ..helper import format_prompt
- class NexraChatGptWeb(AbstractProvider, ProviderModelMixin):
- label = "Nexra ChatGPT Web"
- url = "https://nexra.aryahcr.cc/documentation/chatgpt/en"
- working = True
-
- default_model = "gptweb"
- models = [default_model]
- model_aliases = {"gpt-4": "gptweb"}
- api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/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
- def create_completion(
- cls,
- model: str,
- messages: Messages,
- proxy: str = None,
- markdown: bool = False,
- **kwargs
- ) -> CreateResult:
- model = cls.get_model(model)
- api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
- headers = {
- 'Content-Type': 'application/json'
- }
-
- data = {
- "prompt": format_prompt(messages),
- "markdown": markdown
- }
-
- response = requests.post(api_endpoint, headers=headers, json=data)
- return cls.process_response(response)
- @classmethod
- def process_response(cls, response):
- if response.status_code == 200:
- try:
- content = response.text.lstrip('_')
- json_response = json.loads(content)
- return json_response.get('gpt', '')
- except json.JSONDecodeError:
- return "Error: Unable to decode JSON response"
- else:
- return f"Error: {response.status_code}"
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