Update app.py

app.py

@@ -2,23 +2,22 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-# neural_net = load_learner('trained-NN.pkl')
+neural_net = load_learner('trained-NN.pkl')
 
-# labels = neural_net.dls.vocab
+labels = neural_net.dls.vocab
 
 def predict(img):
-    return 'This is a farm'
-    # img = PILImage.create(img)
-    # category, idx, probs = neural_net.predict(img)
-    # return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    img = PILImage.create(img)
+    category, idx, probs = neural_net.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
     
 title = 'Natural Language Classifier'
 
 examples = ['farm.jpg']
 
 iface = gr.Interface(fn=predict, 
-                     inputs=gr.Image(height=120, width=120), 
-                     outputs='text',
+                     inputs=gr.Image(height=512, width=512), 
+                     outputs=gr.Label(num_top_classes=4),
                      title=title,
                      examples=examples)
 iface.launch(share=True)