Update app.py

app.py

@@ -5,7 +5,6 @@ import matplotlib.pyplot as plt
 import numpy as np
 from PIL import Image
 import tensorflow as tf
-tf.config.run_functions_eagerly(True)
 from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
 
 feature_extractor = SegformerFeatureExtractor.from_pretrained(
@@ -29,11 +28,11 @@ def ade_palette():
         [66, 39, 0],
         [240, 100, 39],
         [256, 236, 197],
-        [242, 100, 60],
-        [116, 116, 116],
-        [99, 58, 0],
-        [245, 100, 26],
-        [66, 56, 0],
+        [256, 236, 197],
+        [256, 236, 197],
+        [256, 236, 197],
+        [256, 236, 197],
+        [256, 236, 197],
         [51, 51, 51],
         [206, 114, 61],
     ]
@@ -102,10 +101,10 @@ def sepia(input_img):
     return fig
 
 demo = gr.Interface(fn=sepia,
-                    inputs = gr.Image(type='pil', source='upload', label='Input Image', shape=(400, 600))
+                    inputs=gr.Image(shape=(400, 600)),
                     outputs=['plot'],
                     examples=["person-1.jpg", "person-2.jpg", "person-3.jpg", "person-4.jpg", "person-5.jpg"],
                     allow_flagging='never')
 
 
-demo.launch()
+demo.launch()