Update app.py

app.py

@@ -1,25 +1,36 @@
 import gradio as gr
 from fastai.vision.all import *
 import skimage
+import os
 
 learn = load_learner('learner.pkl')
-
 labels = learn.dls.vocab
+
 def predict(img):
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-import os
 for root, dirs, files in os.walk(r'sample_images/'):
     for filename in files:
         print(filename)
 
 title = "Paddy Disease Classifier with EdgeNeXt"
-description = "A paddy disease classifier. 9 Diseases + 1 Normal class."
+description = "9 Diseases + 1 Normal class."
 interpretation='default'
 examples = ["sample_images/"+file for file in files] 
 article="<p style='text-align: center'><a href='https://dicksonneoh.com/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/' target='_blank'>Blog post</a></p>"
 enable_queue=True
 
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue, theme="grass").launch()
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(224, 224)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue,
+    theme="grass",
+).launch()