Commit
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dab52d1
1
Parent(s):
cf4494f
update of application
Browse files
app.py
CHANGED
@@ -8,10 +8,14 @@ def sequence_to_classify(sequence, labels):
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#candidate_labels = ['politikk', 'helse', 'sport', 'religion']
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hypothesis_template = 'Dette eksempelet er {}.'
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#classifier(sequence_to_classify, candidate_labels, hypothesis_template=hypothesis_template, multi_class=True)
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-
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-
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-
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def greet(name):
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return "Hello " + name + "!!"
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@@ -26,10 +30,10 @@ iface = gr.Interface(
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gr.inputs.Textbox(lines=2,
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label="Possible candidate labels",
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placeholder="labels here...")],
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-
outputs=gr.outputs.Label(num_top_classes=3),
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capture_session=True,
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interpretation="default"
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,examples=[
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[
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])
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iface.launch()
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#candidate_labels = ['politikk', 'helse', 'sport', 'religion']
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hypothesis_template = 'Dette eksempelet er {}.'
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#classifier(sequence_to_classify, candidate_labels, hypothesis_template=hypothesis_template, multi_class=True)
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response = classifier(sequence, labels, hypothesis_template=hypothesis_template, multi_class=True)
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print(response)
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return response
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example_text="""
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Folkehelseinstituttets mest optimistiske anslag er at alle voksne er
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ferdigvaksinert innen midten av september.'"""
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example_labels=['politikk', 'helse', 'sport', 'religion']
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def greet(name):
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return "Hello " + name + "!!"
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gr.inputs.Textbox(lines=2,
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label="Possible candidate labels",
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placeholder="labels here...")],
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outputs=gr.outputs.Label(num_top_classes=3, label="Categories"),
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capture_session=True,
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interpretation="default"
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,examples=[
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[example_text, example_labels]
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])
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iface.launch()
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