added app

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from fastai.vision.all import *
+learn = load_learner('20250123_squish_model.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))}
+
+title = "Squishable Type Classifier"
+description = "A squishable classifier trained with fastai. Do you have a standard Squish? Undercover? Comfort Food? Let's find out! <br> Created as a demo for Gradio and HuggingFace Spaces."
+article="<p style='text-align: center'><a href='https://rlearsch.github.io/' target='_blank'>Blog post</a></p>"
+
+gr.Interface(fn=predict,
+             inputs=gr.components.Image(height=214, width=214),
+             outputs=gr.components.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             article=article,
+             ).queue(max_size=3
+            ).launch()

requirements.txt

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+fastai