new app.py

app.py

@@ -1,9 +1,17 @@
 import gradio as gr
+from fastai.vision.all import *
 
+learn = load_learner('export.pkl')
 
-def greet(name):
-    return "Hello " + name + "!!"
+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))}
 
+import gradio as gro
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+title = "Pet Breed Classifier"
+description = "A bunads classifier trained to classify if a bunad is a Nordlandsbunad, Trønderbunad, Hardangerbunaden, Vestfoldbunad"
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=4)).launch(share=True)