daeeeee commited on
Commit
f414087
·
1 Parent(s): bebd19b

feat(ui): Forecast tab pre-fills T/top_p from cached tuning

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Files changed (1) hide show
  1. app.py +18 -0
app.py CHANGED
@@ -437,6 +437,8 @@ with gr.Blocks(title="Kronos Forecast Dashboard", theme=gr.themes.Soft()) as dem
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  sample_count = gr.Slider(1, 30, 5, step=1, label="Monte Carlo samples (cpu-basic: 30 ≈ 4 min)")
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  temperature = gr.Slider(0.1, 2.0, 1.0, step=0.1, label="Temperature (T)")
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  top_p = gr.Slider(0.1, 1.0, 0.9, step=0.05, label="Top-p")
 
 
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  run_btn = gr.Button("🚀 Forecast", variant="primary")
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  with gr.Column(scale=3):
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  chart_out = gr.Plot(label="Forecast Chart")
@@ -447,6 +449,22 @@ with gr.Blocks(title="Kronos Forecast Dashboard", theme=gr.themes.Soft()) as dem
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  outputs=[chart_out, summary_out, pred_out],
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  concurrency_id="predictor", concurrency_limit=1)
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  # ---- Watchlist tab ----
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  with gr.Tab("Watchlist"):
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  with gr.Row():
 
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  sample_count = gr.Slider(1, 30, 5, step=1, label="Monte Carlo samples (cpu-basic: 30 ≈ 4 min)")
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  temperature = gr.Slider(0.1, 2.0, 1.0, step=0.1, label="Temperature (T)")
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  top_p = gr.Slider(0.1, 1.0, 0.9, step=0.05, label="Top-p")
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+ use_tuned = gr.Checkbox(value=True,
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+ label="🎯 Use tuned defaults (if cached)")
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  run_btn = gr.Button("🚀 Forecast", variant="primary")
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  with gr.Column(scale=3):
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  chart_out = gr.Plot(label="Forecast Chart")
 
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  outputs=[chart_out, summary_out, pred_out],
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  concurrency_id="predictor", concurrency_limit=1)
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+ def _apply_tuning_to_sliders(symbol_val, interval_val, use_val):
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+ t_val, p_val = autotune.apply_tuning(DB_PATH, symbol_val, interval_val, use_val)
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+ t_update = gr.update(value=t_val) if t_val is not None else gr.update()
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+ p_update = gr.update(value=p_val) if p_val is not None else gr.update()
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+ return t_update, p_update
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+
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+ symbol.change(_apply_tuning_to_sliders,
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+ inputs=[symbol, interval, use_tuned],
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+ outputs=[temperature, top_p])
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+ interval.change(_apply_tuning_to_sliders,
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+ inputs=[symbol, interval, use_tuned],
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+ outputs=[temperature, top_p])
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+ use_tuned.change(_apply_tuning_to_sliders,
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+ inputs=[symbol, interval, use_tuned],
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+ outputs=[temperature, top_p])
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+
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  # ---- Watchlist tab ----
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  with gr.Tab("Watchlist"):
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  with gr.Row():