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-rw-r--r--g4f/Provider/nexra/NexraProdiaAI.py92
1 files changed, 48 insertions, 44 deletions
diff --git a/g4f/Provider/nexra/NexraProdiaAI.py b/g4f/Provider/nexra/NexraProdiaAI.py
index 9d82ab9b..de997fce 100644
--- a/g4f/Provider/nexra/NexraProdiaAI.py
+++ b/g4f/Provider/nexra/NexraProdiaAI.py
@@ -1,18 +1,16 @@
from __future__ import annotations
-from aiohttp import ClientSession
import json
-
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+import requests
+from ...typing import CreateResult, Messages
+from ..base_provider import ProviderModelMixin, AbstractProvider
from ...image import ImageResponse
-
-class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
+class NexraProdiaAI(AbstractProvider, ProviderModelMixin):
label = "Nexra Prodia AI"
url = "https://nexra.aryahcr.cc/documentation/prodia/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
- working = False
+ working = True
default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
models = [
@@ -83,8 +81,7 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
'toonyou_beta6.safetensors [980f6b15]',
]
- model_aliases = {
- }
+ model_aliases = {}
@classmethod
def get_model(cls, model: str) -> str:
@@ -96,9 +93,13 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
return cls.default_model
@classmethod
- async def create_async_generator(
+ def get_model(cls, model: str) -> str:
+ return cls.default_model
+
+ @classmethod
+ def create_completion(
cls,
- model: str, # Select from the list of models
+ model: str,
messages: Messages,
proxy: str = None,
response: str = "url", # base64 or url
@@ -107,41 +108,44 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
sampler: str = "DPM++ 2M Karras", # Select from these: "Euler","Euler a","Heun","DPM++ 2M Karras","DPM++ SDE Karras","DDIM"
negative_prompt: str = "", # Indicates what the AI should not do
**kwargs
- ) -> AsyncResult:
+ ) -> CreateResult:
model = cls.get_model(model)
-
+
headers = {
- "Content-Type": "application/json"
+ 'Content-Type': 'application/json'
}
- async with ClientSession(headers=headers) as session:
- prompt = messages[0]['content']
- data = {
- "prompt": prompt,
- "model": "prodia",
- "response": response,
- "data": {
- "model": model,
- "steps": steps,
- "cfg_scale": cfg_scale,
- "sampler": sampler,
- "negative_prompt": negative_prompt
- }
+
+ data = {
+ "prompt": messages[-1]["content"],
+ "model": "prodia",
+ "response": response,
+ "data": {
+ "model": model,
+ "steps": steps,
+ "cfg_scale": cfg_scale,
+ "sampler": sampler,
+ "negative_prompt": negative_prompt
}
- async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
- text_data = await response.text()
-
- if response.status == 200:
- try:
- json_start = text_data.find('{')
- json_data = text_data[json_start:]
-
- data = json.loads(json_data)
- if 'images' in data and len(data['images']) > 0:
- image_url = data['images'][-1]
- 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)
+ }
+
+ 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('_') # Remove leading underscores
+ 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:
- yield ImageResponse(f"Request failed with status: {response.status}", prompt)
+ 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}"