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Update app.py
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app.py
CHANGED
@@ -163,13 +163,13 @@ def predict_single_text(text, threshold):
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threshold_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.3, step=0.01, label="Threshold value (default=0.3)")
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iface2 = gr.Interface(fn=predict_single_text,
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inputs=[gr.Textbox(lines=7, label="Paste or type text here"), threshold_input],
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outputs=[gr.Label(label="
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gr.Plot(label="Likelihood of all labels", show_label=
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title="Single 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:** The quality of model predictions may depend on the quality of information provided.")
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# UPLOAD CSV
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threshold_input = gr.Slider(minimum=0.0, maximum=1.0, value=0.3, step=0.01, label="Threshold value (default=0.3)")
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iface2 = gr.Interface(fn=predict_single_text,
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inputs=[gr.Textbox(lines=7, label="Paste or type text here"), threshold_input],
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outputs=[gr.Label(label="Predicted Labels", show_label=True),
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gr.Plot(label="Likelihood of all labels", show_label=False)],
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title="Single 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:** The quality of model predictions may depend on the quality of the information provided.")
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# UPLOAD CSV
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