Create app.py

app.py

@@ -0,0 +1,40 @@
+import pandas as pd
+import gradio as gr
+
+def compare_csv_files():
+    # 文件名
+    file1 = "fish-speech-1.5.csv"
+    file2 = "fish-speech-1.4.csv"
+    
+    # 读取 CSV 文件
+    df1 = pd.read_csv(file1)
+    df2 = pd.read_csv(file2)
+    
+    # 使用 SourceText 进行合并
+    merged_df = pd.merge(df1, df2, on="SourceText", suffixes=("_1", "_2"))
+    
+    if merged_df.empty:
+        return "两个文件中没有相同的 SourceText，请检查数据。"
+    
+    # 计算差异
+    merged_df["WordErrorRate_Diff"] = merged_df["WordErrorRate_1"] - merged_df["WordErrorRate_2"]
+    merged_df["CharacterErrorRate_Diff"] = merged_df["CharacterErrorRate_1"] - merged_df["CharacterErrorRate_2"]
+    
+    # 返回对比结果
+    comparison = merged_df[[
+        "SourceText", 
+        "UUID_1", "WhisperText_1", "WordErrorRate_1", "CharacterErrorRate_1",
+        "UUID_2", "WhisperText_2", "WordErrorRate_2", "CharacterErrorRate_2",
+        "WordErrorRate_Diff", "CharacterErrorRate_Diff"
+    ]]
+    
+    return comparison.to_html(index=False)
+
+# Gradio 界面
+gr.Interface(
+    fn=compare_csv_files,
+    inputs=None,
+    outputs="html",
+    title="CSV 文件对比工具",
+    description="自动加载目录下的 fish-speech-1.5.csv 和 fish-speech-1.4.csv，对比它们的 WordErrorRate 和 CharacterErrorRate 差异。",
+).launch()