Update app.py

app.py

@@ -6,30 +6,35 @@ import gradio as gr
 def analyze_csv(file):
     df = pd.read_csv(file.name)
 
-    # 统计分析
     stats = df.describe().loc[["mean", "std", "min", "max"]].round(2).to_string()
 
-    # 生成图像：Income vs SpendingScore
+    # 生成图像
     plt.figure(figsize=(6, 4))
     plt.scatter(df["Income"], df["SpendingScore"], alpha=0.7)
     plt.title("Income vs Spending Score")
     plt.xlabel("Income")
     plt.ylabel("Spending Score")
     plt.grid(True)
-
     img_path = "income_vs_score.png"
     plt.savefig(img_path)
     plt.close()
 
-    return stats, img_path
+    return {
+        "📊 Summary": stats,
+        "📈 Chart": img_path
+    }
 
 iface = gr.Interface(
     fn=analyze_csv,
     inputs=gr.File(label="Upload CSV File", file_types=[".csv"]),
-    outputs=[gr.Text(label="📊 Statistical Summary"), gr.Image(label="📈 Income vs Spending Score")],
+    outputs=[
+        gr.Text(label="📊 Summary"),
+        gr.Image(label="📈 Chart")
+    ],
     title="📊 表格分析大模型",
     description="上传一个CSV表格，我将输出统计分析结果并展示一张图表。"
 )
 
+
 if __name__ == "__main__":
     iface.launch()