Error when trying to create a Dataset #8
Description
Tested on 1660s and 4070s
Console output:
Running on local URL: http://127.0.0.1:7860
INFO:httpx:HTTP Request: GET http://127.0.0.1:7860/startup-events "HTTP/1.1 200 OK"
INFO:httpx:HTTP Request: HEAD http://127.0.0.1:7860/ "HTTP/1.1 200 OK"
To create a public link, set `share=True` in `launch()`.
[<gradio.components.dropdown.Dropdown object at 0x000001754B915390>]
[<gradio.components.dropdown.Dropdown object at 0x000001754B915390>]
No language specified, language will be first be detected for each audio file (increases inference time).
Non float16 compatible GPU: HTTP Error 403: Forbidden
No language specified, language will be first be detected for each audio file (increases inference time).
Traceback (most recent call last):
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\webui.py", line 61, in load_whisperx
whisper_model = whisperx.load_model(model_name, device, download_root="whisper_models", compute_type="float16")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\whisperx\asr.py", line 347, in load_model
vad_model = load_vad_model(torch.device(device), use_auth_token=None, **default_vad_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\whisperx\vad.py", line 29, in load_vad_model
with urllib.request.urlopen(VAD_SEGMENTATION_URL) as source, open(model_fp, "wb") as output:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 216, in urlopen
return opener.open(url, data, timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 525, in open
response = meth(req, response)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 634, in http_response
response = self.parent.error(
^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 563, in error
return self._call_chain(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 496, in _call_chain
result = func(*args)
^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 643, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\queueing.py", line 536, in process_events
response = await route_utils.call_process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\route_utils.py", line 321, in call_process_api
output = await app.get_blocks().process_api(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\blocks.py", line 1935, in process_api
result = await self.call_function(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\blocks.py", line 1520, in call_function
prediction = await anyio.to_thread.run_sync( # type: ignore
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\anyio\to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread
return await future
^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run
result = context.run(func, *args)
^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\utils.py", line 826, in wrapper
response = f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\gradio\utils.py", line 826, in wrapper
response = f(*args, **kwargs)
^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\webui.py", line 146, in process_proxy
whisper_model = load_whisperx('large-v3')
^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\webui.py", line 64, in load_whisperx
whisper_model = whisperx.load_model(model_name, device, download_root="whisper_models", compute_type="int8")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\whisperx\asr.py", line 347, in load_model
vad_model = load_vad_model(torch.device(device), use_auth_token=None, **default_vad_options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\Projects\Voise model training\Beatrice Trainer\web UI\beatrice_trainer_webui\venv\Lib\site-packages\whisperx\vad.py", line 29, in load_vad_model
with urllib.request.urlopen(VAD_SEGMENTATION_URL) as source, open(model_fp, "wb") as output:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 216, in urlopen
return opener.open(url, data, timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 525, in open
response = meth(req, response)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 634, in http_response
response = self.parent.error(
^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 563, in error
return self._call_chain(*args)
^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 496, in _call_chain
result = func(*args)
^^^^^^^^^^^
File "C:\Users\GtGt\AppData\Local\Programs\Python\Python311\Lib\urllib\request.py", line 643, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden