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| from tts_voice import tts_order_voice | |
| import edge_tts | |
| import gradio as gr | |
| import tempfile | |
| import anyio | |
| import asyncio | |
| from edge_tts.exceptions import NoAudioReceived # Import the specific exception | |
| # --- Voice Data --- | |
| # Uses the dictionary loaded from your tts_voice.py file | |
| language_dict = tts_order_voice | |
| DEFAULT_LANGUAGE = list(language_dict.keys())[0] | |
| # --- Core TTS Function (Asynchronous) --- | |
| async def text_to_speech_edge(text, language_code): | |
| voice = language_dict[language_code] | |
| # Try block to catch the failure | |
| try: | |
| communicate = edge_tts.Communicate(text, voice) | |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file: | |
| tmp_path = tmp_file.name | |
| await communicate.save(tmp_path) | |
| return "语音合成完成:{}".format(text), tmp_path | |
| except NoAudioReceived as e: | |
| error_msg = f"ERROR: Failed to generate audio for voice '{voice}'. The Edge TTS service did not return any audio data. Please try a different voice, use shorter text, or upgrade the 'edge-tts' library. Details: {str(e)}" | |
| print(error_msg) | |
| # Return the error message and None for audio | |
| return error_msg, None | |
| except Exception as e: | |
| error_msg = f"An unexpected error occurred: {str(e)}" | |
| print(error_msg) | |
| return error_msg, None | |
| # --- Gradio UI Definition --- | |
| input_text = gr.Textbox(lines=5, label="输入文本") | |
| output_text = gr.Textbox(label="输出文本") | |
| output_audio = gr.Audio(type="filepath", label="导出文件") | |
| language = gr.Dropdown( | |
| choices=list(language_dict.keys()), | |
| value=DEFAULT_LANGUAGE, | |
| label="语言" | |
| ) | |
| # --- Gradio Interface Definition and Launch --- | |
| # Note: Since the core function is async, we use asyncio for launch | |
| interface = gr.Interface( | |
| fn=text_to_speech_edge, | |
| inputs=[input_text, language], | |
| outputs=[output_text, output_audio], | |
| title="Edge TTS 文字转语音 (Cloud API)", | |
| description="使用微软 Edge TTS 提供的云服务,稳定且无需本地模型加载。" | |
| ) | |
| if __name__ == "__main__": | |
| # Ensure anyio is used to run the async Gradio app | |
| anyio.run(interface.launch, backend="asyncio") |