updated top-most markdown display

app.py

@@ -16,16 +16,6 @@ from cluster_utils import *
 # exploration_pipeline = joblib.load("exploration_pipeline.pkl")
 
 #========== HELPER FUNCTIONS ==========
-def make_json_safe(obj):
-    if isinstance(obj, dict):
-        return {str(k): make_json_safe(v) for k, v in obj.items()}
-    elif isinstance(obj, list):
-        return [make_json_safe(v) for v in obj]
-    elif hasattr(obj, "tolist"):  # numpy arrays / scalars
-        return obj.tolist()
-    else:
-        return obj
-
 def format_deviations_as_columns(drivers):
     headers = []
     cells = []
@@ -86,8 +76,7 @@ def final_clustering(file, top_features):
         )
         top_drivers = identify_top_drivers(original_centroids, top_features)
         deviations_markdown = format_deviations_as_columns(top_drivers)
-        # top_drivers_safe = make_json_safe(top_drivers)
-        
+               
         # debug
         print("✅ Best K:", best_k, type(best_k))
         print("📊 Drivers sample:", top_drivers)
@@ -103,7 +92,7 @@ def final_clustering(file, top_features):
 #========== GRADIO INTERFACE ==========
 with gr.Blocks(title="PERCEUL: Perception-Based Worker Profiler") as app:
 
-    gr.Markdown("# 🧠 Worker Profiling & Cluster Analysis")
+    gr.Markdown("# 🧠 PERCEUL: Profiler of Perception and Cognitive Ergonomics in the Workplace")
 
     with gr.Tab("Final Clustering"):
         file_input_final = gr.File(label="Upload CSV")