Error when transcribing audio in google colab
AnnaENS opened this issue · 3 comments
AttributeError Traceback (most recent call last)
in <cell line: 25>()
23 note_seq.play_sequence(est_ns, synth=note_seq.fluidsynth,
24 sample_rate=SAMPLE_RATE, sf2_path=SF2_PATH)
---> 25 note_seq.plot_sequence(est_ns)
2 frames
/usr/local/lib/python3.10/dist-packages/bokeh/core/has_props.py in _raise_attribute_error_with_matches(self, name, properties)
373 matches, text = sorted(properties), "possible"
374
--> 375 raise AttributeError(f"unexpected attribute {name!r} to {self.class.name}, {text} attributes are {nice_join(matches)}")
376
377 def str(self) -> str:
AttributeError: unexpected attribute 'plot_width' to figure, similar attributes are outer_width, width or min_width
I'm getting the same issue :(
Edit: Nevermind, did a little issue digging. Check out #144
After that fix, now getting a new issue unfortunately:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) [<ipython-input-6-689ff6dbf16f>](https://localhost:8080/#) in <cell line: 25>() 23 note_seq.play_sequence(est_ns, synth=note_seq.fluidsynth, 24 sample_rate=SAMPLE_RATE, sf2_path=SF2_PATH) ---> 25 note_seq.plot_sequence(est_ns) 2 frames [/usr/local/lib/python3.10/dist-packages/bokeh/core/has_props.py](https://localhost:8080/#) in _raise_attribute_error_with_matches(self, name, properties) 373 matches, text = sorted(properties), "possible" 374 --> 375 raise AttributeError(f"unexpected attribute {name!r} to {self.__class__.__name__}, {text} attributes are {nice_join(matches)}") 376 377 def __str__(self) -> str: AttributeError: unexpected attribute 'plot_width' to figure, similar attributes are outer_width, width or min_width
Which seems to be at least these 2 issues:
Originally posted by @0xdevalias in #151 (comment)
Running the error I got here through ChatGPT suggested the following:
The error you encountered,
AttributeError: unexpected attribute 'plot_width' to figure, similar attributes are outer_width, width or min_width
, suggests that there is an issue with the usage of theplot_width
attribute in a Bokehfigure
object.Bokeh, a visualization library for Python, uses
figure
objects to create plots, and it seems like the code is trying to set an attributeplot_width
which does not exist. Instead, Bokeh provideswidth
,outer_width
, ormin_width
as valid attributes.Looking at the colab file:
The relevant snippet of code that's failing is:
import note_seq # ..snip.. inference_model = InferenceModel(checkpoint_path, MODEL) # ..snip.. est_ns = inference_model(audio) # ..snip.. note_seq.plot_sequence(est_ns)We can see the
note_seq
library here:And here is a relevant sounding PR that may be related to this issue:
Which notes:
As described in this stackoverflow question:
In the 3.0.0 bokeh release, the
plot_width
attribute of a figure was replaced withwidth
. Similarly,plot_height
was replaced withheight
. Even in the last 2.x.x release docs, they are described as "compatibility aliases" forwidth
andheight
.This pull request fixes this issue by following the stackover flow answer mentioned above.
Originally posted by @Yao-Lirong in magenta/note-seq#72
Once that PR lands, it should fix the root cause, but until then, it sounds like the workaround is to use a pre-
3.x
version of Bokeh.Searching the issues here, we can see that this was already suggested in another thread:
It worked, finally. I also downgraded bokeh so that midi image could come out normally.
https://colab.research.google.com/drive/1JkWyAwFhAC6SJJ1Lvf4VPap6FwtniEuy?usp=sharingOriginally posted by @Jackl-o-o-l in #134 (comment)
Originally posted by @0xdevalias in #144 (comment)
Fixed!