added upscaler

app.py

@@ -0,0 +1,41 @@
+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+import torch
+
+
+model_id = "caidas/swin2SR-classical-sr-x2-64"
+upscaler = pipeline("image-to-image", model=model_id)
+
+
+
+def upscale(input_img):
+    low_res_img = resize_on_scale(input_img)
+    upscaled_img = upscaler(low_res_img)
+    print("Low resolution image size = ", low_res_img.size)
+    print("Upscaled image size = ", upscaled_img.size)
+    return upscaled_img
+
+
+def resize_on_scale(input_img):
+    low_res_img = input_img.convert("RGB")
+    wsize = 300
+    wpercent = (wsize / float(input_img.size[0]))
+    hsize = int((float(input_img.size[1]) * float(wpercent)))
+    low_res_img = low_res_img.resize((wsize, hsize))
+    return low_res_img
+
+    
+gradio_app = gr.Interface(
+    upscale, 
+    inputs=gr.Image(label="Select a blurry image", sources=['upload', 'webcam', 'clipboard'], type="pil"),
+    outputs=gr.Image(label="Processed Image"), 
+    title="Image Upscaler",
+)
+
+if __name__ == "__main__":
+    gradio_app.launch()
+
+
+
+

requirements.txt

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+gradio==4.19.2
+Pillow==9.4.0
+Pillow==10.2.0
+torch==2.2.1+cu118
+transformers==4.38.1