import gradio as gr

def classify(img):
    pred, probability = predict_one_image(img, model_VGG19)
    return class_names[pred]


demo = gr.Interface(fn=classify, 
             inputs = gr.inputs.Image(shape=(224,224)), 
             outputs =gr.outputs.Textbox(),
             title = "Flower Recognition",
             examples =['tulip.jpg','rose.jpg','daisy.jpg','dandelion.jpg','sunflower.jpg',],
             description = "Transfer Learning Application",
             allow_flagging = "never"
             ).launch(inbrowser=True)