let's deploy to huggingface spaces

app.py

@@ -1,9 +1,16 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
+learn = load_learner("export.pkl")
+labels = learn.dls.vocab
 
-def greet(name):
-    return "Hello " + name + "!!"
 
+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))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+iface = gr.Interface(fn=predict, inputs="text", outputs="text")
 iface.launch()