let's deploy to huggingface spaces

app.py

@@ -0,0 +1,13 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+def predict(img):
+    img = PILImage.create(img)
+    return round(learn.predict(img)[0][0])
+
+title = "Number of characters in a single line image"
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(), outputs=gr.outputs.Textbox(label='Predicted Score')).launch(share=True)
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2365973a0d415f77e4d6634963c33b4ee6457e610958c459ad3eff6a985d00de
+size 87711065

requirement.txt

@@ -0,0 +1 @@
+fastai