Change bar plot x-axis from counts to percentages (0-100 scale)

- Display percentage values instead of raw counts
- Set x-axis limits to 0-100 for consistent scale
- Update title to "Category Distribution (%)"

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -556,16 +556,17 @@ is the key and a 1 if the category is present and a 0 if not.'''
             python_version=python_version
         )
 
-        # Build distribution summary DataFrame for bar plot
+        # Build distribution summary DataFrame for bar plot (percentages)
         dist_data = []
         total_rows = len(result)
         for i, cat in enumerate(categories, 1):
             col_name = f"category_{i}"
             if col_name in result.columns:
                 count = int(result[col_name].sum())
+                pct = (count / total_rows) * 100 if total_rows > 0 else 0
                 dist_data.append({
                     "Category": cat,
-                    "Count": count
+                    "Percentage": round(pct, 1)
                 })
         distribution_df = pd.DataFrame(dist_data)
 
@@ -792,10 +793,11 @@ https://github.com/chrissoria/cat-llm
         with gr.Column():
             status = gr.Markdown("Ready to classify")
             distribution_plot = gr.BarPlot(
-                x="Count",
+                x="Percentage",
                 y="Category",
-                title="Category Distribution",
+                title="Category Distribution (%)",
                 horizontal=True,
+                x_lim=[0, 100],
                 visible=False
             )
             sample_results = gr.DataFrame(label="Sample Results (First 5 Rows)", visible=False)