Create app.py

app.py

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+import gradio as gr
+
+def classify(img):
+  pred, probability = predict_one_image(img, model_VGG19)
+
+
+demo = gr.Interface(fn=classify, 
+             inputs = gr.inputs.Image(shape=(224,224)), 
+             outputs =gr.outputs.Label(num_classes=5),
+             title = "Flower Recognition",
+             examples =['tulip.jpg','rose.jpg','daisy.jpg','dandelion.jpg','sunflower.jpg',],
+             description = "Transfer Learning Application",
+             allow_flagging = "never"
+             ).launch(inbrowser=True)