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-rw-r--r--g4f/Provider/nexra/NexraAnimagineXL.py66
1 files changed, 0 insertions, 66 deletions
diff --git a/g4f/Provider/nexra/NexraAnimagineXL.py b/g4f/Provider/nexra/NexraAnimagineXL.py
deleted file mode 100644
index d6fbc629..00000000
--- a/g4f/Provider/nexra/NexraAnimagineXL.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 NexraAnimagineXL(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)