0.3.3.2

1 files changed, 0 insertions, 66 deletions

diff --git a/g4f/Provider/Nexra.py b/g4f/Provider/Nexra.py
deleted file mode 100644
index 5fcdd242..00000000
--- a/g4f/Provider/Nexra.py
+++ /dev/null
@@ -1,66 +0,0 @@
-from __future__ import annotations
-
-from aiohttp import ClientSession
-import json
-
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..image import ImageResponse
-
-
-class Nexra(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "Nexra Animagine XL"
-    url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
-    api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = True
-
-    default_model = 'animagine-xl'
-    models = [default_model]
-
-    @classmethod
-    def get_model(cls, model: str) -> str:
-        return cls.default_model
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: Messages,
-        proxy: str = None,
-        response: str = "url",  # base64 or url
-        **kwargs
-    ) -> AsyncResult:
-        # Retrieve the correct model to use
-        model = cls.get_model(model)
-
-        # Format the prompt from the messages
-        prompt = messages[0]['content']
-
-        headers = {
-            "Content-Type": "application/json"
-        }
-        payload = {
-            "prompt": prompt,
-            "model": model,
-            "response": response
-        }
-
-        async with ClientSession(headers=headers) as session:
-            async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
-                response.raise_for_status()
-                text_data = await response.text()
-
-                try:
-                    # Parse the JSON response
-                    json_start = text_data.find('{')
-                    json_data = text_data[json_start:]
-                    data = json.loads(json_data)
-                    
-                    # Check if the response contains images
-                    if 'images' in data and len(data['images']) > 0:
-                        image_url = data['images'][0]
-                        yield ImageResponse(image_url, prompt)
-                    else:
-                        yield ImageResponse("No images found in the response.", prompt)
-                except json.JSONDecodeError:
-                    yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)