Update app.py

app.py

@@ -16,6 +16,22 @@ facebook_csv_path = "facebook_histogram.csv"
 video_folder = "videos"
 image_folder = "images"
 
+# Function to load and plot the masterpiece data (video and graph)
+def load_masterpiece_video_and_plot():
+    masterpiece_video_path = os.path.join(video_folder, "starperformer_viral.mp4")
+
+    # Assuming 'viral' is the actual outcome from the video filename
+    actual_outcome = "viral"
+
+    # Load the TikTok engagement data from the CSV
+    fig, x_min, x_max, y_min, y_max = load_and_plot_csv(tiktok_csv_path)
+
+    # Highlight the quintile based on the actual outcome 'viral'
+    fig = highlight_quintile(fig, actual_outcome, x_max)
+
+    return masterpiece_video_path, fig
+
+
 # Function to extract the prediction label from filenames
 def extract_prediction_label(filename, media_type):
     if media_type == "video":
@@ -164,7 +180,18 @@ def calculate_engagement_increase():
 
 # Create the Gradio interface
 with gr.Blocks() as dashboard:
-
+    # Section for Leonardo's Last-Week Masterpiece
+    gr.Markdown("# Leonardo's Masterpiece from Last Week")
+    
+    # Load the masterpiece video and graph
+    masterpiece_video, masterpiece_graph = load_masterpiece_video_and_plot()
+    
+    # Display the video
+    gr.Video(masterpiece_video, label="Star Performer TikTok Video")
+    
+    # Display the graph with quintile highlighting
+    gr.Plot(masterpiece_graph, label="Star Performer TikTok Performance")
+    
     # Add a header for follower impact
     gr.Markdown("## Leonardo's Follower Impact")