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To create a public link, set share=True in launch().
Traceback (most recent call last):
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\utils\task.py", line 108, in transcribe
subprocess.run(cmd, check=True)
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 505, in run
with Popen(*popenargs, **kwargs) as process:
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 951, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 1420, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] The system cannot find the file specified
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\routes.py", line 399, in run_predict
output = await app.get_blocks().process_api(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\blocks.py", line 1303, in process_api
result = await self.call_function(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\blocks.py", line 1026, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio_backends_asyncio.py", line 867, in run
result = context.run(func, *args)
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\transcribe_gui.py", line 327, in handle_form_submit
subtitle_file_path = task.transcribe(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\utils\task.py", line 110, in transcribe
raise Exception(
Exception: Error. Vocal extracter unavailable. Received:
C:\Users\user\AppData\Local\Temp\bebf2e05e25135efa50c8a746b06c2875e007655\IMG_5503.MP4, C:\Users\user\AppData\Local\Temp\tempfreesubtitle\main.MP4, C:\Users\user\AppData\Local\Temp
demucs --two-stems=vocals "C:\Users\user\AppData\Local\Temp\tempfreesubtitle\main.MP4" -o "C:\Users\user\AppData\Local\Temp" --filename "{stem}.{ext}"
The text was updated successfully, but these errors were encountered:
Same problem here, I bypassed it by disabling the vocal extractor as mxgc suggested, but I would like to have a better solution. Could this explain why my subtitles are not very well synced? or the vocal extractor is just a cleanup pass that doesn't interfere with syncing?
When using transcribe or translation browser reports error and this is output from console:
Running on local URL: http://127.0.0.1:7860
To create a public link, set
share=True
inlaunch()
.Traceback (most recent call last):
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\utils\task.py", line 108, in transcribe
subprocess.run(cmd, check=True)
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 505, in run
with Popen(*popenargs, **kwargs) as process:
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 951, in init
self._execute_child(args, executable, preexec_fn, close_fds,
File "C:\Users\user\AppData\Local\Programs\Python\Python39\lib\subprocess.py", line 1420, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] The system cannot find the file specified
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\routes.py", line 399, in run_predict
output = await app.get_blocks().process_api(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\blocks.py", line 1303, in process_api
result = await self.call_function(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\gradio\blocks.py", line 1026, in call_function
prediction = await anyio.to_thread.run_sync(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\venv\lib\site-packages\anyio_backends_asyncio.py", line 867, in run
result = context.run(func, *args)
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\transcribe_gui.py", line 327, in handle_form_submit
subtitle_file_path = task.transcribe(
File "C:\Users\user\Downloads\autotranscribe\whisper-auto-transcribe\src\utils\task.py", line 110, in transcribe
raise Exception(
Exception: Error. Vocal extracter unavailable. Received:
C:\Users\user\AppData\Local\Temp\bebf2e05e25135efa50c8a746b06c2875e007655\IMG_5503.MP4, C:\Users\user\AppData\Local\Temp\tempfreesubtitle\main.MP4, C:\Users\user\AppData\Local\Temp
demucs --two-stems=vocals "C:\Users\user\AppData\Local\Temp\tempfreesubtitle\main.MP4" -o "C:\Users\user\AppData\Local\Temp" --filename "{stem}.{ext}"
The text was updated successfully, but these errors were encountered: