Update app.py

app.py

@@ -1,6 +1,5 @@
 import io
 import torch
-import pathlib
 import numpy as np
 import gradio as gr
 import matplotlib.pyplot as plt
@@ -98,13 +97,10 @@ classes_to_show = gr.components.Textbox(
 )
 
 inputs = [image_in, prob_threshold_slider, classes_to_show]
-img_input = gr.Image(type='pil')
-example_images = gr.Dataset(components=[img_input], samples=[[path.as_posix()] for path in sorted(pathlib.Path('examples').rglob('*.*'))])
 
 gr.Interface(fn=model_inference,
              inputs=inputs,
              outputs=image_out,
              title=title,
              description=description,
-             examples=example_images
 ).launch()