add app demo

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learner = load_learner("models/batch_size_64_device_cuda_lr_0.01_n_epoch_30_seed_42_valid_pct_0.2.pkl", cpu=False)
+
+labels = learner.dls.vocab
+
+def classify(img):
+    pred, pred_idx, probs = learner.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+interface = gr.Interface(fn=classify, inputs="sketchpad", outputs=gr.outputs.Label(num_top_classes=5), live=True)
+interface.launch(debug=True, share=True)