Create app.py

app.py

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+import gradio as gr
+from PIL import Image
+import numpy as np
+import cv2
+from keras.models import Model
+from keras.layers import Input, Conv2D, MaxPooling2D, Conv2DTranspose, concatenate
+
+if __name__ == "__main__":
+    
+    gr.Interface(
+        fn=segment,
+        inputs="image",
+        examples=[["benign(10).png"], ["benign(109).png"]],
+        title = '<h1 style="text-align: center;">Breast Cancer Ultrasound Image Segmentation!</h1>',
+        description = """
+        Check out this exciting development in the field of breast cancer diagnosis and treatment!
+        A demo of Breast Cancer Ultrasound Image Segmentation has been developed.
+        Upload image file, or try out one of the examples below!
+        """
+    ).launch(debug=True)