adding model to git for huggingface deployment

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+def greet(name):
+    return "Hello " + name + "!"
+
+learn = load_learner('model/model_files/bball_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))}
+
+demo = gr.Interface(fn=predict, inputs="image", outputs="text")
+# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+    
+demo.launch(share=True) 

model/model_files/bball_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:898393e4850f8fb1200c0c988bd3f337d42c7046fb7e3b20afa9359a734078ec
+size 46955409

requirements.txt

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+fastai
+gradio
+scikit-image