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-rw-r--r--g4f/Provider/nexra/NexraChatGptWeb.py75
1 files changed, 35 insertions, 40 deletions
diff --git a/g4f/Provider/nexra/NexraChatGptWeb.py b/g4f/Provider/nexra/NexraChatGptWeb.py
index d14a2162..f82694d4 100644
--- a/g4f/Provider/nexra/NexraChatGptWeb.py
+++ b/g4f/Provider/nexra/NexraChatGptWeb.py
@@ -1,29 +1,21 @@
from __future__ import annotations
-from aiohttp import ClientSession, ContentTypeError
import json
+import requests
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
from ..helper import format_prompt
-
-class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin):
+class NexraChatGptWeb(AbstractProvider, 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'
+ default_model = "gptweb"
models = [default_model]
-
- model_aliases = {
- "gpt-4": "gptweb",
- }
-
+ model_aliases = {"gpt-4": "gptweb"}
+ api_endpoints = {"gptweb": "https://nexra.aryahcr.cc/api/chat/gptweb"}
@classmethod
def get_model(cls, model: str) -> str:
@@ -33,37 +25,40 @@ class NexraChatGptWeb(AsyncGeneratorProvider, ProviderModelMixin):
return cls.model_aliases[model]
else:
return cls.default_model
-
+
@classmethod
- async def create_async_generator(
+ def create_completion(
cls,
model: str,
messages: Messages,
proxy: str = None,
markdown: bool = False,
**kwargs
- ) -> AsyncResult:
+ ) -> CreateResult:
+ model = cls.get_model(model)
+ api_endpoint = cls.api_endpoints.get(model, cls.api_endpoints[cls.default_model])
+
headers = {
- "Content-Type": "application/json"
+ '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
+
+ 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}"