attempt to import fastai lib

app.py

@@ -1,19 +1,25 @@
-__all__ = ['learn','classify_image','categories','image','label','examples','intf']
+__all__ = ['learn', 'classify_image', 'categories',
+           'image', 'label', 'examples', 'intf']
 
-from huggingface_hub import fastai
+from huggingface_hub import hf_hub_download
+from fastai.learner import *
 import gradio as gr
 
 learn = load_learner('model.pkl')
 
-categories = ('airbaby','airchair','airflare','headspin','hollow back')
+categories = ('airbaby', 'airchair', 'airflare', 'headspin', 'hollow back')
+
 
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
+    return dict(zip(categories, map(float, probs)))
+
 
-image = gr.inputs.Image(shape=(192,192))
+image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
-examples = ['air_chair.jpg','hollowback.jpeg','airbaby.jpeg','airflare.jpeg','headspin.jpeg']
+examples = ['air_chair.jpg', 'hollowback.jpeg',
+            'airbaby.jpeg', 'airflare.jpeg', 'headspin.jpeg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)
+intf = gr.Interface(fn=classify_image, inputs=image,
+                    outputs=label, examples=examples)
+intf.launch(inline=False)

app.py.3ec09d1ad4059228116e1fb9e618c954.tmp

@@ -1,20 +0,0 @@
-__all__ = ['learn','classify_image','categories','image','label','examples','intf']
-
-from huggingface_hub import hf_hub_download
-from fastai.learner import *
-import gradio as gr
-
-learn = load_learner('model.pkl')
-
-categories = ('airbaby','airchair','airflare','headspin','hollow back')
-
-def classify_image(img):
-    pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
-examples = ['air_chair.jpg','hollowback.jpeg','airbaby.jpeg','airflare.jpeg','headspin.jpeg']
-
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch(inline=False)