app.py

import gradio as gr

gr.Interface(fn=predict_image, 
             inputs=gr.Image(shape=(180, 180)),
             outputs=[gr.Label(num_top_classes=5), "text"],
              examples=[r"D:\Website\Hyde\MachineLearning_Tensorflow\flower_photos\roses\568715474_bdb64ccc32.jpg", r'D:\Website\Hyde\MachineLearning_Tensorflow\flower_photos\sunflowers\44079668_34dfee3da1_n.jpg']).launch(share=True)