labonny commited on
Commit
5b5ecce
·
1 Parent(s): 8a7c33c

Adding a title and description

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Files changed (1) hide show
  1. app.py +3 -1
app.py CHANGED
@@ -7,7 +7,9 @@ def predict(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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  examples = ["angryExample.jpg", "disgustExample.jpg", "fearExample.jpg", "happyExample.jpg", "neutralExample.jpg", "sadExample.jpg", "surpriseExample.jpg"]
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- iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(48,48)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples)
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  iface.launch()
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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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+ title = "Facial Expression Classifier"
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+ description = "A facial expression classifier, trained using the <a href='https://www.kaggle.com/datasets/msambare/fer2013'>FER-2013 dataset</a>. This dataset consists of 28,709 examples of faces: each one is 48x48 grayscale pixels and is labelled with one of the following expressions: anger, disgust, fear, happy, neutral, sad, surprise.<p><p>This was used to train a resnet34 model."
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  examples = ["angryExample.jpg", "disgustExample.jpg", "fearExample.jpg", "happyExample.jpg", "neutralExample.jpg", "sadExample.jpg", "surpriseExample.jpg"]
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+ iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(48,48)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples, title=title, description=description)
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  iface.launch()
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