Update app.py

app.py

@@ -1,7 +1,18 @@
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+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))}
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+examples = ['/kaggle/input/butterfly-images40-species/test/ADONIS/1.jpg',
+           '/kaggle/input/butterfly-images40-species/test/AFRICAN GIANT SWALLOWTAIL/2.jpg',
+           '/kaggle/input/butterfly-images40-species/test/AMERICAN SNOOT/3.jpg']
+image = gr.Image()
+label = gr.Label(num_top_classes = 3)
+gr.Interface(fn=predict, inputs=image, outputs=label, examples = examples).launch(share=True)