Update app.py

app.py

@@ -1,5 +1,6 @@
 from fastai.vision.all import *
 import gradio as gr
+import numpy as np
 
 
 learn = load_learner('model.pkl')
@@ -12,6 +13,7 @@ categories = (['calling', 'clapping', 'cycling', 'dancing', 'drinking', 'eating'
 
 
 def classify_image(img):
+    img = np.array(img)
     img = PILImage.create(img).resize((192, 192))
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))