added app

app.py

@@ -0,0 +1,16 @@
+from fastai.vision.all import *
+from fastcore import *
+learn = load_learner('architecture.pkl')
+labels = learn.dls.vocab
+
+def predict(imgpath):
+    img = PILImage.create(imgpath)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+import gradio as gr
+gr.Interface(
+    fn=predict, 
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3)
+).launch(share=True)

architecture.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8428f71bbb7810c7a924e00c688fb104d12e143906ba768aa7e52674783d588
+size 87675873

requirements.txt

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+fastai
+gradio