Update reactive structure

app.py

@@ -6,6 +6,8 @@ from matplotlib.collections import LineCollection
 from matplotlib import cm
 import numpy as np
 
+ff1.Cache.enable_cache('.\cache')
+
 app_ui = ui.page_fluid(
     ui.div(
         ui.input_select(
@@ -14,13 +16,13 @@ app_ui = ui.page_fluid(
         ),
         class_="d-flex gap-3"
     ),
-    output_widget("my_widget")
+    ui.output_plot("gear")
 )
 
 def server(input, output, session):
     @reactive.Calc
     def get_data():
-        ff1.Cache.enable_cache('.\cache')
+        
 
         session = ff1.get_session(2023, input.track, 'R')
         session.load()
@@ -35,11 +37,17 @@ def server(input, output, session):
         points = np.array([x, y]).T.reshape(-1, 1, 2)
         segments = np.concatenate([points[:-1], points[1:]], axis=1)
         gear = tel['nGear'].to_numpy().astype(float)
-        return lap, tel, x,y,points,segments,gear
+        return lap, tel, x, y, points, segments, gear
 
     @output
     @render_widget
-    def my_widget(lap, tel, x,y,points,segments,gear):
+    def gear():
+        lap = get_data().lap
+        tel = get_data().tel
+        points = get_data().points
+        segments = get_data().segments
+
+        
         cmap = cm.get_cmap('Paired')
         lc_comp = LineCollection(segments, norm=plt.Normalize(1, cmap.N+1), cmap=cmap)
         lc_comp.set_array(gear)
@@ -49,10 +57,10 @@ def server(input, output, session):
         plt.axis('equal')
         plt.tick_params(labelleft=False, left=False, labelbottom=False, bottom=False)
 
-        title = plt.suptitle(
-                f"Fastest Lap Gear Shift Visualization\n"
-                f"{lap['Driver']} - {session.event['EventName']} {session.event.year}"
-                )
+        ##title = plt.suptitle(
+        ##        f"Fastest Lap Gear Shift Visualization\n"
+        ##        f"{lap['Driver']} - {session.event['EventName']} {session.event.year}"
+        ##        )
 
         cbar = plt.colorbar(mappable=lc_comp, label="Gear", boundaries=np.arange(1, 10))
         cbar.set_ticks(np.arange(1.5, 9.5))