mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 11:34:02 +03:00
64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
from __future__ import annotations
|
|
|
|
import json
|
|
import requests
|
|
from ...typing import CreateResult, Messages
|
|
from ..base_provider import ProviderModelMixin, AbstractProvider
|
|
from ...image import ImageResponse
|
|
|
|
class NexraMidjourney(AbstractProvider, ProviderModelMixin):
|
|
label = "Nexra Midjourney"
|
|
url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
|
|
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
|
|
working = True
|
|
|
|
default_model = "midjourney"
|
|
models = [default_model]
|
|
|
|
@classmethod
|
|
def get_model(cls, model: str) -> str:
|
|
return cls.default_model
|
|
|
|
@classmethod
|
|
def create_completion(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
proxy: str = None,
|
|
response: str = "url", # base64 or url
|
|
**kwargs
|
|
) -> CreateResult:
|
|
model = cls.get_model(model)
|
|
|
|
headers = {
|
|
'Content-Type': 'application/json'
|
|
}
|
|
|
|
data = {
|
|
"prompt": messages[-1]["content"],
|
|
"model": model,
|
|
"response": response
|
|
}
|
|
|
|
response = requests.post(cls.api_endpoint, headers=headers, json=data)
|
|
|
|
result = cls.process_response(response)
|
|
yield result
|
|
|
|
@classmethod
|
|
def process_response(cls, response):
|
|
if response.status_code == 200:
|
|
try:
|
|
content = response.text.strip()
|
|
content = content.lstrip('_')
|
|
data = json.loads(content)
|
|
if data.get('status') and data.get('images'):
|
|
image_url = data['images'][0]
|
|
return ImageResponse(images=[image_url], alt="Generated Image")
|
|
else:
|
|
return "Error: No image URL found in the response"
|
|
except json.JSONDecodeError as e:
|
|
return f"Error: Unable to decode JSON response. Details: {str(e)}"
|
|
else:
|
|
return f"Error: {response.status_code}, Response: {response.text}"
|