Update app.py

app.py

@@ -1,19 +1,23 @@
 import gradio as gr
 from fastai.vision.all import *
 import skimage
+from fastai.vision.all import PILImage
 
 learn = load_learner('export.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))}
+   img = PILImage.create(img)
+   img = img.resize((512, 512))
+   pred,pred_idx,probs = learn.predict(img)
+   return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 examples = ['image1.jpg', 'image2.jpg']
 interpretation='default'
 enable_queue=True
 
-#gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
-gr.Interface(fn=predict,inputs=gr.components.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.outputs.Label(num_top_classes=3), examples=examples, interpretation=interpretation, enable_queue=enable_queue).launch()
+