Update app.py

app.py

@@ -139,15 +139,14 @@ def make_images(scen):
 
 
 # ───────────────────── 4. CSV-table simple filter ──────────────────────
-CSV_FILE = "table_1_2.csv"  # rename if needed
-
+CSV_FILE = "table_1_2.csv"        # rename here if needed
+df_full  = pd.read_csv(CSV_FILE)  # load once
 
 def filter_csv(col, val):
-    df = pd.read_csv(CSV_FILE)
-    if col and val and col in df.columns:
-        return df[df[col].astype(str).str.contains(val, case=False, na=False)]
-    return df
-
+    if col and val:
+        mask = df_full[col].astype(str).str.contains(val, case=False, na=False)
+        return df_full[mask]
+    return df_full
 
 # ───────────────────── 5. Gradio interface ─────────────────────────────
 with gr.Blocks(title="Data Quality Scenario Explorer") as demo:
@@ -163,21 +162,19 @@ with gr.Blocks(title="Data Quality Scenario Explorer") as demo:
         value="0",
     )
 
-    # three images side-by-side
+    # plots side-by-side
     with gr.Row():
-        im1 = gr.Image()
-        im2 = gr.Image()
-        im3 = gr.Image()
+        im1, im2, im3 = gr.Image(), gr.Image(), gr.Image()
     scen.change(make_images, scen, [im1, im2, im3])
     demo.load(lambda: make_images("0"), outputs=[im1, im2, im3])
 
-    # button -> full markdown
-    show_btn = gr.Button("Data Validation Summary")
-    summary_md = gr.Markdown(visible=False)
-    show_btn.click(lambda: gr.update(value=QUALITY_TEXT, visible=True),
-                   inputs=None, outputs=summary_md)
+    # summary text button
+    summary_btn = gr.Button("Data Validation Summary")
+    summary_md  = gr.Markdown(visible=False)
+    summary_btn.click(lambda: gr.update(value=QUALITY_TEXT, visible=True),
+                      inputs=None, outputs=summary_md)
 
-    # table viewer
+    # ──────── table viewer with universal filter ─────────
     gr.Markdown("### Table 1-2 Viewer")
 
     with gr.Row():