Update app.py

app.py

@@ -89,6 +89,8 @@ def plot_target_distributions():
     sns.countplot(x=sample_df.prediction, stat='proportion', ax=axes[1])
     axes[1].set_title("Distribution of predicted targets from the deployed model")
     axes[1].set_xlabel('')
+
+    plt.close()
     
     return figure
 
@@ -163,7 +165,7 @@ with gr.Blocks(theme=gr.themes.Base()) as demo:
 
     with gr.Row():
         with gr.Column():
-            gr.Plot(plot_target_distributions, every=60, label="Target Data Distributions")
+            gr.Plot(plot_target_distributions, every=86400, label="Target Data Distributions")
         
     gr.Markdown("## Data drift detection (every 5 seconds)")