Update app.py

app.py

@@ -1,51 +1,39 @@
-import gradio as gr
+import os
+os.system("pip uninstall -y gradio")
+os.system("pip install gradio==4.44.1")
+
+
 import pandas as pd
 import matplotlib.pyplot as plt
-import tempfile
-import os
+import gradio as gr
 
-def analyze(file):
-    # 读取CSV文件
+def analyze_csv(file):
     df = pd.read_csv(file.name)
 
-    # 统计摘要
+    # 统计分析
     stats = df.describe().loc[["mean", "std", "min", "max"]].round(2).to_string()
 
-    # 生成图像并保存
-    img_path = os.path.join(tempfile.gettempdir(), "plot.png")
+    # 生成图像：Income vs SpendingScore
     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.title("Income vs Spending Score")
     plt.grid(True)
-    plt.tight_layout()
+
+    img_path = "income_vs_score.png"
     plt.savefig(img_path)
     plt.close()
 
     return stats, img_path
 
-
-app = gr.App(
-    blocks=lambda: gr.Page(
-        title="📊 表格分析大模型",
-        description="上传 CSV 文件，我将输出统计摘要并绘制图表。",
-        components=[
-            gr.File(label="上传 CSV 文件", file_types=[".csv"], name="file_input"),
-            gr.Button(value="开始分析", name="run_button"),
-            gr.Textbox(label="统计摘要", lines=10, name="output_text"),
-            gr.Image(label="图表", name="output_image"),
-        ],
-        on_event=[
-            gr.Event(
-                name="run_button.click",
-                fn=analyze,
-                inputs=["file_input"],
-                outputs=["output_text", "output_image"]
-            )
-        ]
-    )
+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")],
+    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__":
-    app.run()
+    iface.launch()