Update app.py

app.py

@@ -56,23 +56,21 @@ def process_data(file):
 
     full_viz_df = pd.concat(viz_data)
     
-    # Sort order for SEO buckets
+    # Define and sort SEO buckets
     sort_order = ["01–03", "04–10", "11–20", "21–30", "31–40", "41–50", "51–100", "100+", "Not Talking (Intent Not Correct)"]
     full_viz_df['Range'] = pd.Categorical(full_viz_df['Range'], categories=sort_order, ordered=True)
-    full_viz_df = full_viz_df.sort_values('Range')
+    full_viz_df = full_viz_df.sort_values(['Month', 'Range'])
     
     return final_df, full_viz_df, final_df
 
 def filter_table(full_data, selection_data: gr.SelectData):
-    # For gr.BarPlot, selection_data.value contains the [x, y] values
-    # selection_data.index contains the index of the month (color)
+    # selection_data.value contains the [Range, Keyword Count]
     clicked_range = selection_data.value[0]
     
-    # We find the month by looking at the specific range columns
-    # This searches for the range in all Month columns
+    # Since we want to find keywords in this range across ANY month in the dataset
     range_cols = [c for c in full_data.columns if "Rank Range" in c]
     
-    # Filter: Show rows where the clicked range appears in ANY month
+    # Filter rows where the clicked range appears in at least one month's column
     filtered_df = full_data[full_data[range_cols].apply(lambda row: clicked_range in row.values, axis=1)]
     return filtered_df
 
@@ -83,7 +81,7 @@ with gr.Blocks() as demo:
     full_data_state = gr.State()
 
     gr.Markdown("# 🚀 SEO Market Intelligence Dashboard")
-    gr.Markdown("### Click a bar in the chart to filter the keyword list below.")
+    gr.Markdown("### Interactive Analysis: Click a bar below to filter the table by rank range.")
     
     with gr.Row():
         file_input = gr.File(label="Upload SEO Excel", file_types=[".xlsx"])
@@ -91,14 +89,13 @@ with gr.Blocks() as demo:
             process_btn = gr.Button("📊 Build Dashboard", variant="primary")
             reset_btn = gr.Button("🔄 Reset Table Filters")
 
-    # FIX: Using gr.BarPlot which supports .select()
+    # REMOVED 'vertical' to fix the TypeError
     plot_output = gr.BarPlot(
         x="Range", 
         y="Keyword Count", 
         color="Month", 
         title="Keyword Performance Distribution",
         tooltip=["Month", "Range", "Keyword Count"],
-        vertical=True,
         group="Month"
     )
     
@@ -111,7 +108,6 @@ with gr.Blocks() as demo:
         outputs=[table_output, plot_output, full_data_state]
     )
 
-    # Now .select() will work because plot_output is a BarPlot
     plot_output.select(
         fn=filter_table,
         inputs=[full_data_state],
@@ -125,4 +121,5 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
+    # Standard launch with theme support
     demo.launch(theme=gr.themes.Soft())