TypeError: Invalid file: 45.0

[Jiraxys]

(i think i posted this somewhere else too, sorry if its not related to that place) Hello, when running app.py, i get a large error, not sure what to do. error:

FutureWarning: Pass size=1024 as keyword args. From version 0.10 passing these as positional arguments will result in an error fft_window = librosa.util.pad_center(fft_window, n_fft) C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:3191.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Some weights of the model checkpoint at roberta-base were not used when initializing RobertaModel: ['lm_head.dense.bias', 'lm_head.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight', 'lm_head.layer_norm.bias']

• This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). Some weights of RobertaModel were not initialized from the model checkpoint at roberta-base and are newly initialized: ['roberta.pooler.dense.weight', 'roberta.pooler.dense.bias'] You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. Caching examples at: 'C:\Users\anedi\Desktop\audioldm\AudioLDM\gradio_cached_examples\15\log.csv' Traceback (most recent call last): File "c:/Users/anedi/Desktop/audioldm/AudioLDM/app.py", line 286, in gr.Examples( File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\helpers.py", line 69, in create_examples utils.synchronize_async(examples_obj.create) File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\utils.py", line 377, in synchronize_async return fsspec.asyn.sync(fsspec.asyn.get_loop(), func, *args, *kwargs) File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\fsspec\asyn.py", line 99, in sync
  raise return_result File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\fsspec\asyn.py", line 54, in _runner
  result[0] = await coro File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\helpers.py", line 273, in create await self.cache() File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\helpers.py", line 308, in cache
  prediction = await Context.root_block.process_api( File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\blocks.py", line 1015, in process_api result = await self.call_function( File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\gradio\blocks.py", line 833, in call_function prediction = await anyio.to_thread.run_sync( File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "c:/Users/anedi/Desktop/audioldm/AudioLDM/app.py", line 30, in text2audio waveform = text_to_audio( File "c:\Users\anedi\Desktop\audioldm\AudioLDM\audioldm\pipeline.py", line 115, in text_to_audio waveform = read_wav_file(original_audio_file_path, int(duration 102.4) 160) File "c:\Users\anedi\Desktop\audioldm\AudioLDM\audioldm\audio\tools.py", line 55, in read_wav_file waveform, sr = torchaudio.load(filename) # Faster!!! File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\torchaudio\backend\soundfilebackend.py", line 205, in load with soundfile.SoundFile(filepath, "r") as file: File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\soundfile.py", line 655, in init
  self._file = self._open(file, mode_int, closefd) File "C:\Users\anedi\AppData\Local\Programs\Python\Python38\lib\site-packages\soundfile.py", line 1209, in _open
  raise TypeError("Invalid file: {0!r}".format(self.name)) TypeError: Invalid file: 45.0

[haoheliu]

@Jiraxys Hi thanks for reporting this. I'll look into it now.

[haoheliu]

@Jiraxys Hi now the issue should be fixed. Please re-clone this project and try again. Thanks!

[Jiraxys]

@haoheliu thanks a lot, seems to be working. however i think there is something wrong with the UI, it seems to be all black and when im pressing the invisible play button nothing happens. there is an error when looing at source element: