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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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