Traceback (most recent call last): File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\vits_chinese-2.0\api.py", line 4, in <module> result = client.predict("你好",1,fn_index=0) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio_client\client.py", line 285, in predict return self.submit(*args, api_name=api_name, fn_index=fn_index).result() File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio_client\client.py", line 984, in result raise self.future._exception # type: ignore File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\concurrent\futures\thread.py", line 58, in run result = self.fn(*self.args, **self.kwargs) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio_client\client.py", line 645, in _inner predictions = _predict(*data) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio_client\client.py", line 676, in _predict raise ValueError(result["error"]) ValueError: None
时间: 2023-08-05 20:10:52 浏览: 556
这个错误通常表示在执行预测时发生了一些问题。具体来说,它指示预测返回了一个无效的值(None),而不是预期的结果。要解决这个问题,你可以尝试以下几个步骤:
1. 确保模型和相关文件已正确加载。检查文件路径是否正确,确保它们存在并且可访问。
2. 检查输入数据是否符合预期的格式。确保输入数据与模型的输入要求相匹配。如果你在执行预测之前对输入数据进行了任何处理,请确保处理步骤没有导致问题。
3. 检查模型的配置和参数设置。确保模型的配置和参数设置是正确的,并且与你的预期一致。
如果以上步骤都没有解决问题,那么可能需要进一步调查代码中的其他部分,以确定出错的具体原因。你可以检查相关的函数和方法,查看是否存在潜在的错误或异常情况。
希望这些信息对你有所帮助!如果你有任何其他问题,请随时提问。
相关问题
Traceback (most recent call last): File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\routes.py", line 442, in run_predict output = await app.get_blocks().process_api( File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\blocks.py", line 1389, in process_api result = await self.call_function( File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\blocks.py", line 1094, in call_function prediction = await anyio.to_thread.run_sync( File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\anyio\to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run result = context.run(func, *args) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\utils.py", line 703, in wrapper response = f(*args, **kwargs) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\vits_chinese-2.0\app.py", line 65, in tts_calback return "成功", gradio.outputs.Download(output_filepath, mime_type="audio/wav") NameError: name 'gradio' is not defined
这个错误表明在您的代码中缺少对 `gradio` 的引入。您需要确保在使用 `gradio` 的相关功能之前,先导入 `gradio` 模块。
请确保在代码开头添加以下导入语句:
```python
import gradio as gr
```
这样就可以解决 `NameError: name 'gradio' is not defined` 错误了。重新运行代码时,确保已导入 `gradio` 模块,然后再试一次。
Warning (from warnings module): File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\vits_chinese-2.0\app.py", line 66 return "成功", gr.outputs.File(output_filepath) GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components DEBUG:matplotlib.pyplot:Loaded backend TkAgg version 8.6. Traceback (most recent call last): File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\routes.py", line 442, in run_predict output = await app.get_blocks().process_api( File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\blocks.py", line 1392, in process_api data = self.postprocess_data(fn_index, result["prediction"], state) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\blocks.py", line 1326, in postprocess_data prediction_value = block.postprocess(prediction_value) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\components\audio.py", line 334, in postprocess file_path = self.make_temp_copy_if_needed(y) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\components\base.py", line 226, in make_temp_copy_if_needed temp_dir = self.hash_file(file_path) File "C:\Users\LY-AI\Desktop\AI\vits_chinese-2.0\python3.9.13\3.9.13\lib\site-packages\gradio\components\base.py", line 190, in hash_file with open(file_path, "rb") as f: TypeError: expected str, bytes or os.PathLike object, not File
非常抱歉,我之前的回答还是有误在 Gradio 中,确实不再支持 `gradio.outputs` 模块,而是改为使用 `gradio.components` 模块。此外,`gradio.components.File` 类也没有 `mime_type` 这个关键字参数。
下面是修改后的代码示例:
```python
import gradio as gr
def create_callback(net_g: SynthesizerTrn, tts_front: VITS_PinYin):
def tts_callback(text, dur_scale):
# 其他代码省略...
# 修改下载文件的默认存放位置
output_filepath = "/path/to/output/file.wav" # 指定下载文件的存放路径
return "成功", gradio.components.File(output_filepath)
return tts_callback
```
请确保您已经导入了 `gradio` 模块,并使用 `gradio.components.File` 创建文件下载的输出。
非常抱歉给您带来的困扰,希望这次修改能够解决问题。如有任何其他问题,请随时提问!
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