Update app.py

app.py

@@ -267,21 +267,21 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue=page_utils.KALBE_THEME_COLOR,
 
     gr.Markdown("## Image Examples")
     gr.Examples(
-        examples=[os.path.join(examples_dir, "ISIC_0000108_downsampled.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0000142_downsampled.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0012792_downsampled.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0024452.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0025957.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0026876.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0027385.jpeg"),
-                  os.path.join(examples_dir, "ISIC_0030956.jpeg"),
+        examples=[os.path.join(examples_dir, "ISIC_0000108_downsampled.jpg"),
+                  os.path.join(examples_dir, "ISIC_0000142_downsampled.jpg"),
+                  os.path.join(examples_dir, "ISIC_0012792_downsampled.jpg"),
+                  os.path.join(examples_dir, "ISIC_0024452.jpg"),
+                  os.path.join(examples_dir, "ISIC_0025957.jpg"),
+                  os.path.join(examples_dir, "ISIC_0026876.jpg"),
+                  os.path.join(examples_dir, "ISIC_0027385.jpg"),
+                  os.path.join(examples_dir, "ISIC_0030956.jpg"),
                  ],
         inputs=inp_img,
         outputs=out_txt,
         fn=image_classifier,
         cache_examples=False,
     )
-    gr.Markdown(line_breaks=True, value='Author: Jason Adrian (jasonadriann6@gmail.com) <div class="row"><a href="https://github.com/jasonadriann?tab=repositories"><img alt="GitHub" src="https://img.shields.io/badge/Jason%20Adrian-000000?logo=github"> </div>')
+    gr.Markdown(line_breaks=True, value='Author: M HAIKAL FEBRIAN P (haikalphona23@gmail.com.com) <div class="row"><a href="https://github.com/HAikalfebrianp96?tab=repositories"><img alt="GitHub" src="https://img.shields.io/badge/haikal%20phona-000000?logo=github"> </div>')
 
 # demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label")
 app.launch(share=True)