Initial commit

app.py

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+import gradio as gr
+from fastai.learner import load_learner
+from fastai.vision.all import *
+
+learner_inf = load_learner('banana.pkl')
+
+labels = learner_inf.dls.vocab
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learner_inf.predict(img)
+    return {label: float(probs[i]) for i, label in enumerate(labels)}
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(192,192)),
+    outputs=gr.outputs.Label(num_top_classes=3)
+).launch(share=True)