Upload app.py

app.py

@@ -1,7 +1,6 @@
 
 
 import gradio as gr
-from datasets import load_dataset
 from PIL import Image
 import matplotlib.pyplot as plt
 import numpy as np
@@ -15,6 +14,7 @@ model3 = load_model('best_beans.h5')
 
 leaf_class=['angular_leaf_spot', 'bean_rust', 'healthy']
 
+
 def classify_image(img):
   img_width, img_height = 224, 224
   img = image.load_img(img, target_size = (img_width, img_height))
@@ -25,4 +25,4 @@ def classify_image(img):
 
 gr.Interface(fn=classify_image,
              inputs=gr.Image( type ="filepath"),
-             outputs=gr.Label(num_top_classes=1)).launch()
+             outputs=gr.Label(num_top_classes=1)).launch(debug=True)