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app.py

@@ -238,7 +238,7 @@ def compute_correlation(col1, col2):
     if col1 in categorical_cols and col2 in categorical_cols:
         confusion = pd.crosstab(c1, c2)
         v = cramers_v(confusion)
-        return f"Cramér’s V = {v:.4f}", confusion
+        return f"Cramér's V = {v:.4f}", confusion
 
     # Case 3: keyword frequency vs numeric/categorical
     # Convert col1 or col2 (if comma-separated) into frequency counts
@@ -268,9 +268,9 @@ def compute_correlation(col1, col2):
 # ----------------------------------------------------
 # Gradio UI
 # ----------------------------------------------------
-with gr.Blocks(title="DATA ANALYSIS APP") as app:
+with gr.Blocks(title="Padmavathi APP") as app:
 
-    gr.Markdown("# 📊 Youth Nutritional Data Analysis System \nUpload → Analyse → Export\n Developed by Dr. Indira Priyadarsini")
+    gr.Markdown("# 📊 Padmavathi's SPMVV Data Analysis System \nUpload → Analyse → Export\n Developed by Dr. Padmavathi, Dept of Women Studies")
     with gr.Tab("ℹ️ About & Citation"):
         refresh_btn = gr.Button("🔄 Refresh Data from Excel")
         refresh_msg = gr.Textbox(label="Status", interactive=False)