1

app.py

@@ -1 +1,12 @@
-from fastai.vision.all import *
+import gradio as gr
+from fastai.vision.all import *
+learn = load_learner('which_player_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))}
+
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3).launch(share=True))