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Update app.py
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app.py
CHANGED
@@ -147,7 +147,7 @@ def predict_single_text(text):
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# barmode='stack',
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template='seaborn', font=dict(family="Arial", size=12, color="black"),
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autosize=True,
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width=
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height=500,
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xaxis_title="Likelihood of IEQ",
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yaxis_title="Indoor environmental quality (IEQ)",
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@@ -163,7 +163,7 @@ def predict_single_text(text):
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# Create Gradio interface for single text
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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"),
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outputs=[gr.Label(label="Top
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gr.Plot(label="Likelihood of all labels", show_label=True)],
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title="Single Text Prediction",
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article="**Note:** The quality of model predictions may depend on the quality of information provided."
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@@ -346,7 +346,7 @@ def predict_from_csv(file, column_name, progress=gr.Progress()):
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# fig.update_yaxes(tickangle=0, tickfont=dict(family='Arial', color='black', size=12))
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# fig.update_annotations(font_size=12)
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return output_csv
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# Define the input component
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# barmode='stack',
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template='seaborn', font=dict(family="Arial", size=12, color="black"),
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autosize=True,
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width=600,
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height=500,
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xaxis_title="Likelihood of IEQ",
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yaxis_title="Indoor environmental quality (IEQ)",
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# Create Gradio interface for single text
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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"),
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outputs=[gr.Label(label="Top Predictions", show_label=True),
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gr.Plot(label="Likelihood of all labels", show_label=True)],
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title="Single Text Prediction",
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article="**Note:** The quality of model predictions may depend on the quality of information provided."
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# fig.update_yaxes(tickangle=0, tickfont=dict(family='Arial', color='black', size=12))
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# fig.update_annotations(font_size=12)
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return output_csv
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# Define the input component
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