Edit colab notebooks

[amrzv]

Description

All changes were made in quick_demo.ipynb and quick_demo_tdlr.ipynb:

• removed unnecessary import time
• removed second import glob in _tdlr.ipynb
• used f-strings
• prettified a little (according pep8)

How Has This Been Tested?

Tested in google colab by "run all", no new errors appeared, notebook works as expected.
P.S: outputs left the same.

Checklist:

• I have signed the Adobe Open Source CLA.
• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.
• I have read the CONTRIBUTING document.
• I have added tests to cover my changes.
• All new and existing tests passed.

[manu-polsani]

While running the notebook, Ihave got this error. Can you help me in resolving this?
<>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
ains = [item for item in ains if item is not 'tmp.wav']
Loaded the voice encoder model on cuda in 7.96 seconds.
Processing audio file M6_04_16k.wav
0 out of 0 are in this portion

TypeError Traceback (most recent call last)
in <cell line: 6>()
16 c = AutoVC_mel_Convertor('examples')
17
---> 18 au_data_i = c.convert_single_wav_to_autovc_input(audio_filename=os.path.join('examples', ain),
19 autovc_model_path=opt_parser.load_AUTOVC_name)
20 au_data += au_data_i

1 frames
/content/MakeItTalk/src/autovc/retrain_version/vocoder_spec/extract_f0_func.py in extract_f0_func_audiofile(audio_file, gender)
95 def extract_f0_func_audiofile(audio_file, gender='M'):
96 floor_sp, ceil_sp = -80, 30
---> 97 mel_basis = mel(16000, 1024, fmin=90, fmax=7600, n_mels=80).T
98 min_level = np.exp(-100 / 20 * np.log(10))
99 b, a = butter_highpass(30, 16000, order=5)

TypeError: mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given

[Enes-s]

While running the notebook, Ihave got this error. Can you help me in resolving this?

<>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
<>:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
:4: SyntaxWarning: "is not" with a literal. Did you mean "!="?
ains = [item for item in ains if item is not 'tmp.wav']
Loaded the voice encoder model on cuda in 7.96 seconds.
Processing audio file M6_04_16k.wav
0 out of 0 are in this portion
TypeError Traceback (most recent call last) in <cell line: 6>() 16 c = AutoVC_mel_Convertor('examples') 17 ---> 18 au_data_i = c.convert_single_wav_to_autovc_input(audio_filename=os.path.join('examples', ain), 19 autovc_model_path=opt_parser.load_AUTOVC_name) 20 au_data += au_data_i

1 frames /content/MakeItTalk/src/autovc/retrain_version/vocoder_spec/extract_f0_func.py in extract_f0_func_audiofile(audio_file, gender) 95 def extract_f0_func_audiofile(audio_file, gender='M'): 96 floor_sp, ceil_sp = -80, 30 ---> 97 mel_basis = mel(16000, 1024, fmin=90, fmax=7600, n_mels=80).T 98 min_level = np.exp(-100 / 20 * np.log(10)) 99 b, a = butter_highpass(30, 16000, order=5)

TypeError: mel() takes 0 positional arguments but 2 positional arguments (and 3 keyword-only arguments) were given

is this problem solved ?

[amrzv]

The notebook is still broken

AttributeError: _3D