Update app.py

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
-def greet(name):
-    return "Hello " + name + "!!"
+neural_net = load_learner('trained-NN.pkl')
 
-iface = gr.Interface(fn=greet, inputs='text', outputs='text')
+labels = neural_net.dls.vocab
+
+def predict(img):
+    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.inputs.Image(shape=(512,512)), 
+                     outputs=gr.outputs.Label(num_top_classes=4),
+                     title=title,
+                     examples=examples)
 iface.launch(share=True)