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Update app.py
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app.py
CHANGED
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@@ -72,16 +72,18 @@ with demo:
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with gr.Tab("π¦ Bankruptcy Classifier"):
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gr.Markdown("**Upload company features** (as DataFrame) to predict bankruptcy:")
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inp1 = gr.Dataframe(type="pandas", label="Features DataFrame")
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out1 = gr.Label(label="Predicted Label")
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plt1 = gr.Plot()
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with gr.Tab("π Anomaly Regression"):
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gr.Markdown("**Upload company features** (as DataFrame) to predict anomaly score:")
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inp2 = gr.Dataframe(type="pandas", label="Features DataFrame")
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out2 = gr.Textbox(label="Predicted Scores List")
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plt2 = gr.Plot()
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with gr.Tab("π LSTM Revenue Forecast"):
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gr.Markdown("**Enter last 10 quarterly revenues** (comma-separated) to forecast Q10 revenue:")
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with gr.Tab("π¦ Bankruptcy Classifier"):
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gr.Markdown("**Upload company features** (as DataFrame) to predict bankruptcy:")
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inp1 = gr.Dataframe(type="pandas", label="Features DataFrame")
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classify_btn = gr.Button("Run Classification")
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out1 = gr.Label(label="Predicted Label")
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plt1 = gr.Plot()
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classify_btn.click(fn=classify_fn, inputs=inp1, outputs=[out1, plt1])])
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with gr.Tab("π Anomaly Regression"):
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gr.Markdown("**Upload company features** (as DataFrame) to predict anomaly score:")
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inp2 = gr.Dataframe(type="pandas", label="Features DataFrame")
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regress_btn = gr.Button("Run Regression")
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out2 = gr.Textbox(label="Predicted Scores List")
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plt2 = gr.Plot()
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regress_btn.click(fn=regress_fn, inputs=inp2, outputs=[out2, plt2])])
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with gr.Tab("π LSTM Revenue Forecast"):
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gr.Markdown("**Enter last 10 quarterly revenues** (comma-separated) to forecast Q10 revenue:")
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