chore: creating app

app.py

@@ -1,4 +1,5 @@
 import torch
+import spaces
 from PIL import Image
 from diffusers import DiffusionPipeline, AutoencoderKL
 from gradio import Interface
@@ -16,7 +17,7 @@ pipe.load_lora_weights("ritwikraha/khabib_sketch_LoRA")  # Assuming correct mode
 # Move models to CUDA if available (outside of the app function for efficiency)
 if torch.cuda.is_available():
     pipe.to("cuda")
-    
+
 @spaces.GPU
 def inference(prompt, negative_prompt=None, guidance_scale=3, num_inference_steps=50):
     """Generates an image using the Stable Diffusion XL model with LoRA weights.