updates files

app.py

@@ -9,7 +9,7 @@ import sys
 print('Loading model...')
 model = from_pretrained_keras("mostafapasha/ribs-segmentation-model", compile=False)
 print('Successfully loaded model...')
-# examples = ['examples/VinDr_RibCXR_train_008.png', 'examples/VinDr_RibCXR_train_013.png']
+examples = [['examples/VinDr_RibCXR_train_008.png', 0.2], ['examples/VinDr_RibCXR_train_013.png', 0.8]]
 
 
 def infer(img, threshold):
@@ -28,4 +28,4 @@ gr_input = [gr.inputs.Image(label="Image", type="numpy", shape=(512, 512)), gr.i
 gr_output = [gr.outputs.Image(type="pil",label="Segmentation Mask"),
 ]
 
-iface = gr.Interface(fn=infer, title='ribs segmentation model', description='Keras implementation of ResUNET++ for xray ribs segmentation', inputs=gr_input, outputs=gr_output, examples=[['examples/VinDr_RibCXR_train_008.png', 0.2], ['examples/VinDr_RibCXR_train_013.png', 0.8]], flagging_dir="flagged").launch()
+iface = gr.Interface(fn=infer, title='ribs segmentation model', description='Keras implementation of ResUNET++ for xray ribs segmentation', inputs=gr_input, outputs=gr_output, examples=examples, flagging_dir="flagged").launch()