Update app.py

app.py

@@ -20,7 +20,7 @@ from sklearn.metrics import mean_squared_error, mean_absolute_error
 # Constants (GR)
 # =========================
 APP_NAME = "ST_Log_GR"
-TAGLINE  = "Real-Time Gamma Ray Prediction Using Drilling Data"
+TAGLINE  = "Real-Time Gamma Ray Prediction"
 
 FEATURES = ["GPM", "SPP", "RPM", "WOB", "T", "ROP"]
 
@@ -525,25 +525,48 @@ def track_plot(df, include_actual=True, pred_col="GR_Pred", actual_col="GR"):
     return fig
 
 
-# ---------- Preview modal (matplotlib) ----------
+# ---------- Preview modal (matplotlib) — y-axis reversed ----------
 def preview_tracks(df: pd.DataFrame, cols: list[str]):
+    # keep only columns that exist
     cols = [c for c in cols if c in df.columns]
     n = len(cols)
     if n == 0:
         fig, ax = plt.subplots(figsize=(4, 2))
-        ax.text(0.5,0.5,"No selected columns",ha="center",va="center"); ax.axis("off")
+        ax.text(0.5, 0.5, "No selected columns", ha="center", va="center"); ax.axis("off")
         return fig
-    fig, axes = plt.subplots(1, n, figsize=(2.2*n, 7.0), sharey=True, dpi=100)
-    if n == 1: axes = [axes]
-    idx = np.arange(1, len(df) + 1)
+
+    # use Depth if present, else 1..N
+    depth_col = next((c for c in df.columns if 'depth' in str(c).lower()), None)
+    if depth_col is not None:
+        y = pd.Series(df[depth_col], dtype=float)
+        ylab = depth_col
+    else:
+        y = pd.Series(np.arange(1, len(df) + 1), dtype=float)
+        ylab = "Point Index"
+
+    # IMPORTANT: don't share y so inversion always applies
+    fig, axes = plt.subplots(1, n, figsize=(2.4 * n, 7.0), dpi=100, sharey=False)
+    if n == 1:
+        axes = [axes]
+
     for ax, col in zip(axes, cols):
-        ax.plot(df[col], idx, '-', lw=1.4, color="#333")
-        ax.set_xlabel(col); ax.xaxis.set_label_position('top'); ax.xaxis.tick_top(); ax.invert_yaxis()
+        ax.plot(pd.to_numeric(df[col], errors="coerce"), y, '-', lw=1.4, color="#333")
+        ax.set_xlabel(col)
+        ax.xaxis.set_label_position('top')
+        ax.xaxis.tick_top()
+
+        # Reverse y-axis universally: shallow at top, deep at bottom
+        ax.set_ylim(float(y.min()), float(y.max()))
+        ax.invert_yaxis()
+
         ax.grid(True, linestyle=":", alpha=0.3)
-        for s in ax.spines.values(): s.set_visible(True)
-    axes[0].set_ylabel("Point Index")
+        for s in ax.spines.values():
+            s.set_visible(True)
+
+    axes[0].set_ylabel(ylab)
     return fig
 
+
 # Modal wrapper (Streamlit compatibility)
 try:
     dialog = st.dialog