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gradio_app.py

@@ -5,44 +5,62 @@ import os
 
 # 定义生成音频的异步函数
 async def generate_audio(text, voice, rate, volume):
-    # 创建输出文件路径
-    output_path = "output.mp3"
-    
-    # 使用edge-tts生成音频
-    communicate = edge_tts.Communicate(text, voice, rate=rate, volume=volume)
-    await communicate.save(output_path)
-    
-    return output_path
+    try:
+        # 创建输出文件路径
+        output_path = "output.mp3"
+        
+        # 使用edge-tts生成音频
+        communicate = edge_tts.Communicate(text, voice, rate=rate, volume=volume)
+        await communicate.save(output_path)
+        
+        return output_path
+    except Exception as e:
+        print(f"生成音频失败: {e}")
+        raise gr.Error(f"生成音频失败: {str(e)}")
 
 # 定义Gradio界面的主函数
 def text_to_speech(text, voice, rate, volume):
-    # 调用异步函数生成音频
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    output_path = loop.run_until_complete(generate_audio(text, voice, rate, volume))
-    loop.close()
-    
-    return output_path
+    try:
+        # 调用异步函数生成音频
+        loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(loop)
+        output_path = loop.run_until_complete(generate_audio(text, voice, rate, volume))
+        loop.close()
+        
+        return output_path
+    except Exception as e:
+        print(f"文本转语音失败: {e}")
+        raise gr.Error(f"文本转语音失败: {str(e)}")
 
 # 异步获取所有可用语音
 def get_voices():
-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    voices = loop.run_until_complete(edge_tts.list_voices())
-    loop.close()
-    
-    # 过滤出支持的语音，并按语言分组
-    voice_options = []
-    for voice in voices:
-        short_name = voice.get("ShortName", "")
-        friendly_name = voice.get("FriendlyName", short_name)
-        locale = voice.get("Locale", "")
-        voice_options.append((f"{friendly_name} ({locale})", short_name))
-    
-    # 按友好名称排序
-    voice_options.sort(key=lambda x: x[0])
-    
-    return voice_options
+    try:
+        loop = asyncio.new_event_loop()
+        asyncio.set_event_loop(loop)
+        voices = loop.run_until_complete(edge_tts.list_voices())
+        loop.close()
+        
+        # 过滤出支持的语音，并按语言分组
+        voice_options = []
+        for voice in voices:
+            short_name = voice.get("ShortName", "")
+            friendly_name = voice.get("FriendlyName", short_name)
+            locale = voice.get("Locale", "")
+            voice_options.append((f"{friendly_name} ({locale})", short_name))
+        
+        # 按友好名称排序
+        voice_options.sort(key=lambda x: x[0])
+        
+        return voice_options
+    except Exception as e:
+        # 如果获取语音列表失败，返回默认的语音列表
+        print(f"获取语音列表失败: {e}")
+        return [
+            ("中文女声 (zh-CN)", "zh-CN-YunxiNeural"),
+            ("中文男声 (zh-CN)", "zh-CN-YunxiNeural"),
+            ("英文女声 (en-US)", "en-US-JennyNeural"),
+            ("英文男声 (en-US)", "en-US-GuyNeural")
+        ]
 
 # 获取所有可用语音
 voice_options = get_voices()

requirements.txt

@@ -2,4 +2,4 @@ edge-tts
 fastapi
 uvicorn
 python-multipart
-gradio
+gradio>=3.0.0,<4.0.0