Issue with updating Bar graph

Dash Python
1

I am building something along the lines of https://github.com/plotly/dash-sample-apps/tree/master/apps/dash-object-detection. As a check i am printing the values to be plotted and they are working perfectly fine.However the graphs are not updating. The current code plots random values as a check of whether graphs update with the current time or not. Following is the snippet of the callback function:

@app.callback(Output(“bar-score-graph”, “figure”),
[Input(“interval-detection-mode”, “n_intervals”)],
[State(“video-display”, “currentTime”)])
def update_bargraphData(n_intervals, current_time):
layout = go.Layout(
showlegend=False,
paper_bgcolor=‘rgb(249,249,249)’,
plot_bgcolor=‘rgb(249,249,249)’,
xaxis={
‘automargin’: True,
},
yaxis={
‘title’: ‘Count’,
‘automargin’: True,
‘range’: [0, 1]
}
)
print(current_time)
if current_time is not None:
#print(current_time)
current_frame = round(current_time * FRAMERATE)
print("Current Time: ", current_frame)
#current_frame= 127628
print()
if n_intervals > 0 and current_frame > 0:

         video_info_df = data_dict["video_info_df"]
         total_people=video_info_df[video_info_df["frame"]<=current_frame].identity.nunique()
         print("People passed: ", total_people)


         # Select the subset of the dataset that correspond to the current frame
         frame_df = video_info_df[video_info_df["frame"] == current_frame]
         x_values = frame_df["identity"]
        #(np.ones(len(x_values)).dtypes)
         #x_values=x_values.values.tolist()
         x_values = [random.randint(1,10) for i in range(10)]
         #y_val2=len(x_values)
         y_val=[]
         for i in range(len(x_values)):
             y_val.append(i)
         print("Y Values:", y_val)
         colors='#fa4f56'
         print("X Values:", x_values) #, "Y Values :", y_values)
         #figure = go.Figure(go.Bar(x=x_values, y=y_values, name='Trail'))
         figure = go.Figure({
             'data' : [{'type': 'bar',
                       'x': x_values,
                       'marker': {'color': colors},
                       'y': y_val}],
            'layout' : {'title':'TEst'}
         })
         return figure