Update app.py

app.py

@@ -57,7 +57,7 @@ def _render_force_plot(base_val: float, shap_1d: np.ndarray, feat_1d: np.ndarray
         matplotlib=True, show=False
     )
     fig = plt.gcf()
-    fig.set_size_inches(8, 4)
+    fig.set_size_inches(10, 4)
     plt.tight_layout()
     return fig
 
@@ -161,9 +161,9 @@ def predict_and_explain(ALB, TP, TBA, AST_ALT, CREA, LYM, ALP, nsamples=200):
         return None, None, f"Fatal error: {repr(e)}"
 
 # ====== 示例输入（仅 7 项 + nsamples）======
-example_values = [38.0, 68.0, 6.5, 1.0, 75.0, 1.2, 80.0, 200]
-# 顺序：ALB, TP, TBA, AST_ALT, CREA, LYM, ALP, nsamples
-# 注：上例将派生 PNI=ALB+5*LYM=44、AAPR=ALB/ALP=0.475，与训练对齐
+example_values = [36.4, 57.7, 3.7, 1.0, 74.7, 2.14, 69, 200]
+
+
 
 # ====== Gradio 界面 ======
 with gr.Blocks() as demo: