Update app.py

app.py

@@ -55,6 +55,7 @@ def plot_ms_SONG(ms_song,
                   return_plt = False,
                   timings_multiplier=1,
                   plot_curve_values=None,
+                  plot_curve_notes_step=200
                   save_plot=''
                   ):
 
@@ -87,18 +88,17 @@ def plot_ms_SONG(ms_song,
 
     if plot_curve_values is not None:
 
-      min_val = min(plot_curve_values)
-      max_val = max(plot_curve_values)
-      spcva = [((value - min_val) / (max(max_val - min_val, 0.00001))) * 100 for value in plot_curve_values]
-
-      mult = int(math.ceil(max(add_arrays(start_times, durations)) / len(spcva)))
-      pcv = [value for value in spcva for _ in range(mult)][:int(max(add_arrays(start_times, durations)))+mult]
-      
-      x = np.arange(len(pcv))
-      x_smooth = np.linspace(x.min(), x.max(), 300)
-      spl = make_interp_spline(x, pcv, k=3)
-      y_smooth = spl(x_smooth)
-      ax.plot(x_smooth, y_smooth, color='white')
+        stimes = start_times[::plot_curve_notes_step]
+        
+        min_val = min(plot_curve_values)
+        max_val = max(plot_curve_values)
+        spcva = [((value - min_val) / (max(max_val - min_val, 0.00001))) * 100 for value in plot_curve_values]
+          
+        x = stimes
+        x_smooth = np.linspace(x.min(), x.max(), 300)
+        spl = make_interp_spline(x, spcva, k=9)
+        y_smooth = spl(x_smooth)
+        ax.plot(x_smooth, y_smooth, color='white')
 
     # Set the limits of the plot
     ax.set_xlim([min(start_times), max(add_arrays(start_times, durations))])