１

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import pandas as pd
 from datasets import load_dataset
-from googletrans import Translator
+from deep_translator import GoogleTranslator
 from huggingface_hub import login
 import os
 
@@ -38,15 +38,17 @@ def load_and_process_data():
         category_counts = pd.Series()
 
 # --- 翻訳関数 ---
-translator = Translator()
 def translate_text(text, dest_lang='ja'):
+    """テキストを翻訳します"""
     if not text or not isinstance(text, str):
         return ""
     try:
-        # Translatorインスタンスを再利用
-        return translator.translate(text, dest=dest_lang).text
+        # GoogleTranslatorを使用（deep-translator）
+        translator = GoogleTranslator(source='auto', target=dest_lang)
+        return translator.translate(text)
     except Exception as e:
-        return f"翻訳エラー: {e}"
+        print(f"翻訳エラー: {e}")
+        return f"翻訳エラー: {str(e)}"
 
 # --- Gradioイベントハンドラ ---
 def on_category_change(selected_category):
@@ -150,4 +152,4 @@ def create_demo():
 # --- アプリケーション起動 ---
 if __name__ == "__main__":
     app = create_demo()
-    app.launch()
+    app.launch()

requirements.txt

@@ -1,6 +1,5 @@
 gradio
 datasets
 pandas
-googletrans==4.0.0rc1
-httpcore==0.18.0
+deep-translator
 huggingface_hub