Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 from transformers import pipeline
 from PIL import Image
-import os
+#import os
 
 def load_images_from_current_directory():
     images = []
@@ -15,7 +15,7 @@ def load_images_from_current_directory():
     return images
 
 # Example: Load images from the current directory
-example_images = load_images_from_current_directory()
+#example_images = load_images_from_current_directory()
 
 # Define the image classification function
 def classify_image(image):
@@ -57,11 +57,11 @@ article = "<p style='text-align: center'>Image Classification | Demo Model</p>"
 
 
 # Prepare examples with loaded images
-examples = []
-for img in example_images:
-    examples.append([np.array(img), os.path.basename(os.path.splitext(img.filename)[0])])
+#examples = []
+#for img in example_images:
+#    examples.append([np.array(img), os.path.basename(os.path.splitext(img.filename)[0])])
 
-demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, description=description, article=article, title=title, examples=examples)
+demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, description=description, article=article, title=title)
 
 # Launch the Gradio interface
 demo.launch()