Create app.py

app.py

@@ -0,0 +1,9 @@
+def predict_image(img):
+  img_2d=img.reshape(-1,180,180,3)
+  prediction=model.predict(img_2d)[0]
+  return {class_names[i]: float(prediction[i]) for i in range(5)}
+
+image = gr.inputs.Image(shape=(180,180))
+label = gr.outputs.Label(num_top_classes=5)
+
+gr.Interface(fn=predict_image, inputs=image, outputs=label,interpretation='default').launch(share=True)