Upload app.py

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+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))}
+
+input = gr.inputs.Image()
+outputs = gr.outputs.Textbox()
+iface = gr.Interface(fn=predict, inputs=input, outputs=outputs,
+        examples=['./elon-musk-12.jpg.webp', './iu.jpeg', './elonwario.jpeg', 'jeffbezos.jpg']
+)
 iface.launch()