feat: adding model

app.py

@@ -0,0 +1,13 @@
+from fastai.learner import load_learner
+import gradio as gr
+
+learn = load_learner('./export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+gr.Interface(fn=predict, 
+inputs=gr.inputs.Image(shape=(512, 512)), 
+outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:79a30463580de9b5e47b57979e21ed72cc2a4449d73d0c3c8247734197a9f01f
+size 46961871