eivindthrondsen commited on
Commit
08fe656
1 Parent(s): c9f778f

Added demo app from tutorial

Browse files
Files changed (2) hide show
  1. app.py +17 -4
  2. requirements.txt +2 -0
app.py CHANGED
@@ -1,7 +1,20 @@
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  import gradio as gr
 
 
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- def greet(name):
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- return "Hello " + name + "!!"
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- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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- iface.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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+ from fastai.vision.all import *
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+ import skimage
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+ learn = load_learner('model.pkl')
 
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+ labels = learn.dls.vocab
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+ def predict(img):
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+ img = PILImage.create(img)
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+ pred,pred_idx,probs = learn.predict(img)
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+ return {labels[i]: float(probs[i]) for i in range(len(labels))}
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+
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+ title = "Pet Breed Classifier"
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+ description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
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+ article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
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+ examples = ['siamese.jpg']
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+ interpretation='default'
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+ enable_queue=True
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+
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+ gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ fastai
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+ scikit-image