soundfile.LibsndfileError: Unspecified internal error.

[908030108]

D:\jianchang512\clone-voice-v0.907\train-extract\venv\torch\cuda_init_.py:740: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 11040). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
proxy=''
Running on local URL: http://0.0.0.0:5003
2024-06-10 10:13:00,142 [INFO] HTTP Request: GET https://api.gradio.app/pkg-version "HTTP/1.1 200 OK"
IMPORTANT: You are using gradio version 4.19.2, however version 4.29.0 is available, please upgrade.

2024-06-10 10:13:01,311 [INFO] HTTP Request: GET http://localhost:5003/startup-events "HTTP/1.1 200 OK"
Exception in thread Thread-3 (_do_normal_analytics_request):
Traceback (most recent call last):
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_transports\default.py", line 69, in map_httpcore_exceptions
yield
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_transports\default.py", line 233, in handle_request
resp = self._pool.handle_request(req)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_sync\connection_pool.py", line 216, in handle_request
raise exc from None
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_sync\connection_pool.py", line 196, in handle_request
response = connection.handle_request(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_sync\connection.py", line 99, in handle_request
raise exc
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_sync\connection.py", line 76, in handle_request
stream = self._connect(request)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_sync\connection.py", line 154, in _connect
stream = stream.start_tls(**kwargs)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_backends\sync.py", line 152, in start_tls
with map_exceptions(exc_map):
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\Lib\contextlib.py", line 153, in exit
self.gen.throw(typ, value, traceback)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpcore_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.ConnectTimeout: _ssl.c:980: The handshake operation timed out

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\Lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\Lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\gradio\analytics.py", line 61, in _do_normal_analytics_request
data["ip_address"] = get_local_ip_address()
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\gradio\analytics.py", line 117, in get_local_ip_address
ip_address = httpx.get(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_api.py", line 198, in get
return request(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_api.py", line 106, in request
return client.request(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_client.py", line 827, in request
return self.send(request, auth=auth, follow_redirects=follow_redirects)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_client.py", line 914, in send
response = self._send_handling_auth(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_client.py", line 942, in _send_handling_auth
response = self._send_handling_redirects(
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_client.py", line 979, in _send_handling_redirects
response = self._send_single_request(request)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_client.py", line 1015, in _send_single_request
response = transport.handle_request(request)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_transports\default.py", line 232, in handle_request
with map_httpcore_exceptions():
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python310\Lib\contextlib.py", line 153, in exit
self.gen.throw(typ, value, traceback)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\httpx_transports\default.py", line 86, in map_httpcore_exceptions
raise mapped_exc(message) from exc
httpx.ConnectTimeout: _ssl.c:980: The handshake operation timed out
2024-06-10 10:13:03,326 [INFO] HTTP Request: HEAD http://localhost:5003/ "HTTP/1.1 200 OK"
2024-06-10 10:13:04,246 [INFO] HTTP Request: GET https://api.gradio.app/v2/tunnel-request "HTTP/1.1 200 OK"
Running on public URL: https://a8e5079dbbb16f0d30.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run gradio deploy from Terminal to deploy to Spaces (https://huggingface.co/spaces)
2024-06-10 10:13:05,521 [INFO] HTTP Request: GET https://checkip.amazonaws.com/ "HTTP/1.1 200 "
2024-06-10 10:13:06,527 [INFO] HTTP Request: POST https://api.gradio.app/gradio-launched-telemetry/ "HTTP/1.1 200 OK"
Loading Whisper Model!
[C:\vcpkg\buildtrees\mpg123\src\0d8db63f9b-3db975bc05.clean\src\libmpg123\layer3.c:INT123_do_layer3():1801] error: dequantization failed!
Note: Illegal Audio-MPEG-Header 0x00000000 at offset 319321.
Note: Trying to resync...
Note: Skipped 1024 bytes in input.
[C:\vcpkg\buildtrees\mpg123\src\0d8db63f9b-3db975bc05.clean\src\libmpg123\parse.c:wetwork():1365] error: Giving up resync after 1024 bytes - your stream is not nice... (maybe increasing resync limit could help).
Traceback (most recent call last):
File "D:\jianchang512\clone-voice-v0.907\train-extract\train.py", line 331, in preprocess_dataset
train_meta, eval_meta, audio_total_size = format_audio_list(audio_path, target_language=language, out_path=out_path, gradio_progress=progress)
File "D:\jianchang512\clone-voice-v0.907\train-extract\utils\formatter.py", line 68, in format_audio_list
wav, sr = torchaudio.load(audio_path)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\torchaudio_backend\utils.py", line 204, in load
return backend.load(uri, frame_offset, num_frames, normalize, channels_first, format, buffer_size)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\torchaudio_backend\soundfile.py", line 27, in load
return soundfile_backend.load(uri, frame_offset, num_frames, normalize, channels_first, format)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\torchaudio_backend\soundfile_backend.py", line 230, in load
waveform = file_.read(frames, dtype, always_2d=True)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\soundfile.py", line 895, in read
frames = self._array_io('read', out, frames)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\soundfile.py", line 1344, in _array_io
return self._cdata_io(action, cdata, ctype, frames)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\soundfile.py", line 1354, in _cdata_io
_error_check(self._errorcode)
File "D:\jianchang512\clone-voice-v0.907\train-extract\venv\soundfile.py", line 1407, in _error_check
raise LibsndfileError(err, prefix=prefix)
soundfile.LibsndfileError: Unspecified internal error.