upscale like notebook

app.py

@@ -1,7 +1,34 @@
 import gradio as gr
+import cv2
+from cv2 import dnn_superres
+import sys
+from os.path import exists
 
-def greet(name):
-    return "Hello " + name + "!!"
+FILE_PATH = "butterfly.png"
+# increase the size of the picture with a factor of 3
+factor = 3
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Create an SR object
+sr = dnn_superres.DnnSuperResImpl_create()
+
+# Read image
+image = cv2.imread(FILE_PATH)
+
+# Read the desired model
+path = "models/FSRCNN_x" + str(factor) + ".pb"
+sr.readModel(path)
+
+# Set the desired model and scale to get correct pre- and post-processing
+sr.setModel("fsrcnn", factor)
+
+# Upscale the image
+result = sr.upsample(image)
+
+# Save the image
+cv2.imwrite("./upscaled.png", result)
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()