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Update app.py
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app.py
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@@ -363,7 +363,10 @@ iface3 = gr.Interface(fn=predict_from_csv,
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title="Multi-text Prediction",
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description='''**Threshold value:** The threshold value determines the minimum probability required
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for a label to be predicted. A higher threshold value will result in fewer labels being predicted,
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while a lower threshold value will result in more labels being predicted. The default threshold value is 0.3'''
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# Create a tabbed interface
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demo = gr.TabbedInterface(interface_list=[iface1, iface2, iface3],
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title="Multi-text Prediction",
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description='''**Threshold value:** The threshold value determines the minimum probability required
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for a label to be predicted. A higher threshold value will result in fewer labels being predicted,
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while a lower threshold value will result in more labels being predicted. The default threshold value is 0.3''',
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article="""**Note About Processing Large Dataset:** If you have more than 100 rows of data to process,
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it may be best to use the Google Colab Notebook at the link below where you can leverage GPU for faster processing
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https://colab.research.google.com/drive/15uOTDnzjQ_iD5HpuZuFX1oUoS_OvSJ5L?usp=sharing""")
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# Create a tabbed interface
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demo = gr.TabbedInterface(interface_list=[iface1, iface2, iface3],
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