Add application file

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+import fastbook
+fastbook.setup_book()
+from fastai.vision.all import *
+from fastbook import *
+matplotlib.rc('image', cmap='Greys')
+from fastai.vision.widgets import *
+from ipywidgets import Button, HBox, VBox
+import os
+import shutil
+
+learn = load_learner('model.pkl')
+im_bb = PILImage.create('samp_bb.jpg')
+im_lf = PILImage.create('samp_lf.jpg')
+im_other = PILImage.create('samp_other.jpg')
+
+categories = ('bb', 'lf', 'other')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(50,50))
+label = gr.outputs.Label()
+examples = ['samp_lf.jpg', 'samp_other.jpg']
+
+intf= gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)