Update app.py

app.py

@@ -8,6 +8,21 @@ cear_analyzer = CEARModel()
 
 
 def build_dataframe_from_inputs(values):
+    """Build DataFrame; ignore variety if minutes == 0.
+    """
+    rows = []
+    for name, minutes, variety in values:
+        minutes = 0.0 if minutes is None else float(minutes)
+        # If minutes == 0, force variety to None so it is excluded
+        if minutes == 0:
+            variety = None
+        else:
+            variety = None if variety is None else float(variety)
+        if minutes > 0:
+            rows.append({"platform_name": name, "minutes_per_week": minutes, "variety_score": variety})
+    if not rows:
+        return pd.DataFrame(columns=["platform_name","minutes_per_week","variety_score"])
+    return pd.DataFrame(rows)(values):
     """Build a DataFrame from a list of (platform_name, minutes, variety) tuples.
 
     values: list[tuple[str, float | None, float | None]]
@@ -257,6 +272,16 @@ with gr.Blocks() as demo:
 
     with gr.Row():
         with gr.Column():
+            # Reset buttons per platform
+            def reset_tiktok(): return 0, 0
+            def reset_insta(): return 0, 0
+            def reset_youtube(): return 0, 0
+            def reset_twitter(): return 0, 0
+            def reset_reddit(): return 0, 0
+            def reset_facebook(): return 0, 0
+            def reset_other(): return 0, 0
+
+            gr.Markdown("### Weekly minutes & per-platform variety (0–10)")
             gr.Markdown("### Weekly minutes & per-platform variety (0–10)")
 
             tiktok_minutes = gr.Number(label="TikTok minutes/week", value=240, precision=0)