Add application file

app.py

@@ -63,10 +63,11 @@ label = gr.outputs.Label()
 examples = ['images/airplane_002.jpg','images/airplane_003.jpg','images/airport_020.jpg','images/airport_075.jpg','images/bridge_679.jpg','images/cloud_227.jpg','images/freeway_159.jpg','images/forest_235.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)
 
+if __name__ == "__main__":
+   intf.launch(share=True,inline=False)
 # def classify_image(img):
 #     arr = np.expand_dims(img, axis=0)
 #     arr = tf.keras.applications.mobilenet.preprocess_input(arr)
 #     prediction = model.predict(arr).flatten()
-#     return {labels[i]: float(prediction[i]) for i in range(45)}
+#     return {labels[i]: float(prediction[i]) for i in range(45)}