Update app.py

app.py

@@ -1,6 +1,5 @@
 from fastai.vision.all import *
 import gradio as gr
-from PIL import Image as PILImage
 
 learn = load_learner('model.pkl')
 
@@ -15,13 +14,12 @@ categories = ['abraham_grampa_simpson', 'agnes_skinner', 'apu_nahasapeemapetilon
               'sideshow_bob', 'sideshow_mel', 'snake_jailbird', 'troy_mcclure', 'waylon_smithers']
 
 def classify_image(img):
-    img = PILImage.fromarray(img).resize((192, 192))
     pred, idx, probs = learn.predict(img)
     return {cat: float(prob) for cat, prob in zip(categories, probs)}
 
 demo = gr.Interface(
     fn=classify_image,
-    inputs=gr.Image(type='numpy'),
+    inputs=gr.Image(),
     outputs=gr.Label(),
     examples=[
         'ednar.jpg',