Drop hero gauge plot; hero table shows 1 decimal for forecasts

- Remove hero_gauges and its wiring. Gauge visual didn't earn its
vertical space at any breakpoint vs the existing 3-row hero table.
- hero_markdown forecast rows now show one decimal place (e.g. 62.3°F)
instead of rounding to integer, to match the current-temperature row.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

app.py

@@ -22,7 +22,6 @@ from src.forecast import forecast_series
 from src.weather_ui import (
     aligned_comparison_markdown,
     combined_figure,
-    hero_gauges,
     hero_markdown,
     residual_figure,
 )
@@ -275,30 +274,6 @@ def refresh():
         nws_temp=week["nws_aligned"].get("temp_f"),
         horizon_hours=1,
     )
-
-    # Gauge trio above the hero table: current Ecowitt + each model's
-    # next-round-hour prediction.
-    cur_temp_for_gauge = (
-        float(realtime["temp_f"]) if realtime and realtime.get("temp_f") is not None
-        else float("nan")
-    )
-    next_hour_utc = pd.Timestamp.now(tz="UTC").ceil("h")
-
-    def _nearest_value(series, target):
-        if series is None or series.empty:
-            return None
-        idx = series.index.get_indexer([target], method="nearest")[0]
-        if idx < 0 or idx >= len(series):
-            return None
-        return float(series.iloc[idx])
-
-    toto_temp_fcst = week["totos"].get("temp_f")
-    toto_next = _nearest_value(
-        toto_temp_fcst.median if toto_temp_fcst is not None else None,
-        next_hour_utc,
-    )
-    nws_next = _nearest_value(week["nws_aligned"].get("temp_f"), next_hour_utc)
-    gauge_fig = hero_gauges(cur_temp_for_gauge, toto_next, nws_next)
     if "temp_f" in week["totos"]:
         comparison_md = (
             "### 🆚 Toto vs NWS — same hour, side-by-side\n\n"
@@ -318,7 +293,7 @@ def refresh():
     resid_fig = residual_figure(resid_df) if not resid_df.empty else None
 
     persist.push_db_async()
-    return hero, gauge_fig, comparison_md, week["fig"], scoreboard, resid_fig
+    return hero, comparison_md, week["fig"], scoreboard, resid_fig
 
 
 # --- scoreboard ----------------------------------------------------------
@@ -477,7 +452,6 @@ with gr.Blocks(title="Toto Weather Forecast", theme=gr.themes.Soft()) as demo:
     gr.Markdown(SUBTITLE)
 
     hero_md = gr.Markdown()
-    gauge_plot = gr.Plot(label="Now vs next-hour forecasts", show_label=False)
     gr.Markdown(f"### 📅 {VIEW_WEEK['label']}")
     week_plot = gr.Plot(label="Weekly")
     comparison_md = gr.Markdown()
@@ -547,7 +521,7 @@ with gr.Blocks(title="Toto Weather Forecast", theme=gr.themes.Soft()) as demo:
             "Full spec: [`docs/toto-inference.md`](https://huggingface.co/spaces/bitsofchris/time-series-ai-weather-forecast/blob/main/docs/toto-inference.md)."
         )
 
-    outputs = [hero_md, gauge_plot, comparison_md, week_plot, scoreboard_md, residual_plot]
+    outputs = [hero_md, comparison_md, week_plot, scoreboard_md, residual_plot]
     demo.load(refresh, outputs=outputs)
 
 

src/weather_ui.py

@@ -110,7 +110,7 @@ def hero_markdown(
 
     def _row(label: str, val: float | None, ts):
         when = ts.tz_convert(tz).strftime("%-I %p %Z, %a %b %-d") if ts is not None else "—"
-        cell = f"**{val:.0f}°F**" if val is not None else "—"
+        cell = f"**{val:.1f}°F**" if val is not None else "—"
         return f"| {label} | {cell} | {when} |"
 
     table = (
@@ -180,84 +180,6 @@ def emoji_strip_markdown(nws_df: pd.DataFrame, tz: str, n: int = 12) -> str:
     return f"| {hours} |\n{sep}\n| {glyphs} |\n| {temps} |"
 
 
-def hero_gauges(
-    cur_temp: float,
-    toto_next: float | None,
-    nws_next: float | None,
-    temp_range: tuple[float, float] = (20.0, 100.0),
-) -> go.Figure:
-    """Three horizontal bar 'thermometers' stacked vertically — readable
-    on mobile portrait without squishing. Cool/warm background bands
-    give a sense of where on the temperature scale each value sits."""
-    rows = [
-        ("📡 Ecowitt (now)", cur_temp, "#222", None),
-        ("🤖 Toto (next hr)", toto_next, "#1f77b4", cur_temp),
-        ("🌎 NWS (next hr)", nws_next, "#d62728", cur_temp),
-    ]
-
-    fig = go.Figure()
-    lo, hi = temp_range
-    # Background shading: cooler on the left, warmer on the right.
-    for x0, x1, color in [
-        (lo, lo + (hi - lo) * 0.25, "rgba(31,119,180,0.18)"),
-        (lo + (hi - lo) * 0.25, lo + (hi - lo) * 0.50, "rgba(31,119,180,0.08)"),
-        (lo + (hi - lo) * 0.50, lo + (hi - lo) * 0.75, "rgba(214,39,40,0.08)"),
-        (lo + (hi - lo) * 0.75, hi, "rgba(214,39,40,0.18)"),
-    ]:
-        fig.add_shape(
-            type="rect",
-            x0=x0, x1=x1, y0=-0.5, y1=len(rows) - 0.5,
-            fillcolor=color, line=dict(width=0),
-            layer="below",
-        )
-
-    y_labels = [r[0] for r in rows]
-    for label, value, color, ref in rows:
-        if value is None or (isinstance(value, float) and value != value):
-            # No data — skip the bar but keep the row label by drawing 0-length.
-            fig.add_trace(go.Bar(
-                y=[label], x=[lo], orientation="h",
-                marker_color="rgba(0,0,0,0)",
-                text=["—"], textposition="outside",
-                textfont=dict(size=14, color="#888"),
-                showlegend=False, hoverinfo="skip",
-            ))
-            continue
-        suffix = ""
-        if ref is not None:
-            d = value - ref
-            sign = "+" if d >= 0 else ""
-            suffix = f"  <span style='color:#888'>({sign}{d:.1f})</span>"
-        fig.add_trace(go.Bar(
-            y=[label], x=[value - lo], base=[lo], orientation="h",
-            marker=dict(color=color, line=dict(color=color, width=0)),
-            text=[f"<b>{value:.1f}°F</b>{suffix}"],
-            textposition="outside",
-            textfont=dict(size=14),
-            cliponaxis=False,
-            showlegend=False,
-            hovertemplate=f"{label}: %{{x:.1f}}°F<extra></extra>",
-        ))
-
-    fig.update_xaxes(
-        range=[lo, hi], title_text="°F",
-        showgrid=True, gridcolor="rgba(0,0,0,0.08)",
-        zeroline=False,
-    )
-    fig.update_yaxes(
-        categoryorder="array", categoryarray=list(reversed(y_labels)),
-        showgrid=False,
-    )
-    fig.update_layout(
-        height=240,
-        margin=dict(l=130, r=90, t=20, b=40),
-        bargap=0.35,
-        plot_bgcolor="rgba(0,0,0,0)",
-        paper_bgcolor="rgba(0,0,0,0)",
-    )
-    return fig
-
-
 def residual_figure(
     df: pd.DataFrame,
     title: str = "Forecast residual — 1 h-ahead prediction minus Ecowitt actual, last 48 h (°F)",