Update app.py

app.py

@@ -1,5 +1,38 @@
+# import gradio as gr
+
+# gr.Interface.load("models/Akbartus/Lora360").launch(show_api=True)
+
 import gradio as gr
+import torch
+from PIL import Image
+from torchvision.transforms import ToTensor, ToPILImage
+from transformers import AutoModel
+
+# Load the original model
+original_model = gr.Interface.load("models/Akbartus/Lora360")
+
+# Load the super-resolution model from Hugging Face's model hub
+super_resolution_model = AutoModel.from_pretrained('CompVis/ldm-super-resolution-4x-openimages')
+
+def process_image(input_image):
+    # Run the original model
+    output_image = original_model(input_image)
+
+    # Transform the output image to tensor
+    output_image = ToTensor()(output_image).unsqueeze(0)
+
+    # Ensure the super-resolution model is in eval mode and perform super-resolution
+    super_resolution_model.eval()
+    with torch.no_grad():
+        super_res_image = super_resolution_model(output_image)
+
+    # Convert the output tensor to an image
+    super_res_image = ToPILImage()(super_res_image[0])
+    return super_res_image
+
+# Define the Gradio interface
+iface = gr.Interface(fn=process_image, inputs="image", outputs="image")
+iface.launch()
 
-gr.Interface.load("models/Akbartus/Lora360").launch(show_api=True)