fix update error

app.py

@@ -27,17 +27,14 @@ DATA_PATH = "data/cleveland.csv"
 def init_page():
     """
     Load dataset from disk, fit models once, and return preview + metrics.
+    Returns plain values (no .update), to maximize Gradio compatibility.
     """
     if not os.path.exists(DATA_PATH):
         msg = f"❌ Dataset not found at '{DATA_PATH}'. Please place Cleveland CSV there."
-        return (
-            gr.Markdown.update(value=msg),
-            gr.DataFrame.update(value=pd.DataFrame()),
-            gr.DataFrame.update(value=pd.DataFrame())
-        )
+        return msg, pd.DataFrame(), pd.DataFrame()
 
-    df = pd.read_csv(DATA_PATH)
-    df = load_cleveland_dataframe(uploaded_df=df)  # cleans, binarizes target
+    raw = pd.read_csv(DATA_PATH)
+    df = load_cleveland_dataframe(uploaded_df=raw)  # cleans, binarizes target
 
     models, metrics = fit_all_models(df)
     STATE["df"] = df
@@ -45,12 +42,8 @@ def init_page():
     STATE["metrics"] = metrics
 
     head = df.head(8)
-    msg = "✅ **Cleveland dataset loaded** from `data/cleveland.csv` and models trained (80/20 split)."
-    return (
-        gr.Markdown.update(value=msg),
-        gr.DataFrame.update(value=head, interactive=False),
-        gr.DataFrame.update(value=metrics, interactive=False)
-    )
+    msg = "✅ Cleveland dataset loaded from `data/cleveland.csv` and models trained (80/20 split)."
+    return msg, head, metrics
 
 
 # -----------------------------
@@ -63,6 +56,7 @@ def fill_example(idx_text: str):
         "Example 3 (likely positive)": 2
     }[idx_text]
     ex = example_patient(idx)
+    # Return in the strict feature order so Gradio can assign to outputs 1:1
     return [ex[c] for c in CLEVELAND_FEATURES_ORDER]
 
 
@@ -81,26 +75,19 @@ def _bar_for_models(results: dict):
         height=420,
         margin=dict(l=30, r=20, t=60, b=40)
     )
-    # Emphasize ensemble bar (assumes last entry named "Ensemble (Soft Voting)")
-    if len(names) >= 1:
-        colors = ["#9BB8D3"] * len(names)
-        try:
-            idx = names.index("Ensemble (Soft Voting)")
-            colors[idx] = APP_ACCENT
-        except ValueError:
-            colors[-1] = APP_ACCENT
-        fig.data[0].marker.color = colors
+    # Emphasize ensemble bar
+    colors = ["#9BB8D3"] * len(names)
+    if "Ensemble (Soft Voting)" in names:
+        colors[names.index("Ensemble (Soft Voting)")] = APP_ACCENT
+    elif len(colors) > 0:
+        colors[-1] = APP_ACCENT
+    fig.data[0].marker.color = colors
     return fig
 
 
 def run_predict(*vals):
     if STATE["df"] is None or STATE["models"] is None:
-        return (
-            gr.Markdown.update(value="❌ Models not initialized. Reload the app."),
-            gr.Plot.update(None),
-            gr.Markdown.update(visible=False),
-            gr.DataFrame.update(visible=False)
-        )
+        return "❌ Models not initialized. Reload the app.", None, "", pd.DataFrame()
 
     input_dict = {col: vals[i] for i, col in enumerate(CLEVELAND_FEATURES_ORDER)}
     results = predict_all(STATE["models"], input_dict)
@@ -124,16 +111,12 @@ def run_predict(*vals):
 
     fig = _bar_for_models(results)
 
-    return (
-        gr.Markdown.update(value=title_md),
-        gr.Plot.update(value=fig),
-        gr.Markdown.update(value="**Per-Model Predictions**", visible=True),
-        gr.DataFrame.update(value=table_df, visible=True, interactive=False)
-    )
+    # Return plain values for Markdown, Plot, Markdown, DataFrame
+    return title_md, fig, "**Per-Model Predictions**", table_df
 
 
 # -----------------------------
-# UI (no gr.Box to avoid your error)
+# UI (no gr.Box to avoid older-Gradio issues)
 # -----------------------------
 with gr.Blocks(theme="soft", css=f"""
 :root {{