From 5a79d8cbd7d99510c9f7f504e876f5197a64927b Mon Sep 17 00:00:00 2001
From: kqlio67 <kqlio67@users.noreply.github.com>
Date: Tue, 22 Oct 2024 15:27:01 +0300
Subject: Restored provider (g4f/Provider/nexra/NexraSDLora.py)

---
 g4f/Provider/nexra/NexraSDLora.py | 81 ++++++++++++++++++++-------------------
 g4f/models.py                     | 11 +++++-
 2 files changed, 51 insertions(+), 41 deletions(-)

(limited to 'g4f')

diff --git a/g4f/Provider/nexra/NexraSDLora.py b/g4f/Provider/nexra/NexraSDLora.py
index a33afa04..a12bff1a 100644
--- a/g4f/Provider/nexra/NexraSDLora.py
+++ b/g4f/Provider/nexra/NexraSDLora.py
@@ -1,28 +1,26 @@
 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 NexraSDLora(AsyncGeneratorProvider, ProviderModelMixin):
+class NexraSDLora(AbstractProvider, ProviderModelMixin):
     label = "Nexra Stable Diffusion Lora"
     url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
     api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
-    working = False
+    working = True
     
-    default_model = 'sdxl-lora'
+    default_model = "sdxl-lora"
     models = [default_model]
 
     @classmethod
     def get_model(cls, model: str) -> str:
         return cls.default_model
-
+            
     @classmethod
-    async def create_async_generator(
+    def create_completion(
         cls,
         model: str,
         messages: Messages,
@@ -31,38 +29,41 @@ class NexraSDLora(AsyncGeneratorProvider, ProviderModelMixin):
         guidance: str = 0.3, # Min: 0, Max: 5
         steps: str = 2, # Min: 2, Max: 10
         **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": model,
-                "response": response,
-                "data": {
-                    "guidance": guidance,
-                    "steps": steps
-                }
+        
+        data = {
+            "prompt": messages[-1]["content"],
+            "model": model,
+            "response": response,
+            "data": {
+                "guidance": guidance,
+                "steps": steps
             }
-            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('_')
+                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}"
diff --git a/g4f/models.py b/g4f/models.py
index 542967f2..bfc68096 100644
--- a/g4f/models.py
+++ b/g4f/models.py
@@ -53,6 +53,7 @@ from .Provider import (
     NexraMidjourney,
     NexraQwen,
     NexraSD15,
+    NexraSDLora,
     NexraSDTurbo,
     OpenaiChat,
     PerplexityLabs,
@@ -742,10 +743,17 @@ sdxl_turbo = Model(
     
 )
 
+sdxl_lora = Model(
+    name = 'sdxl-lora',
+    base_provider = 'Stability AI',
+    best_provider = NexraSDLora
+    
+)
+
 sdxl = Model(
     name = 'sdxl',
     base_provider = 'Stability AI',
-    best_provider = IterListProvider([ReplicateHome, DeepInfraImage, sdxl_turbo.best_provider])
+    best_provider = IterListProvider([ReplicateHome, DeepInfraImage, sdxl_turbo.best_provider, sdxl_lora.best_provider])
     
 )
 
@@ -1111,6 +1119,7 @@ class ModelUtils:
         
 ### Stability AI ###
 'sdxl': sdxl,
+'sdxl-lora': sdxl_lora,
 'sdxl-turbo': sdxl_turbo,
 'sd-1.5': sd_1_5,
 'sd-3': sd_3,
-- 
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