Chapter 9 questions

Course
1

Use this topic for any question about Chapter 9 of the course.

2

Hello Everyone!

I think something is missing in the Sharing demos with others - Hugging Face Course, namely imports and defining the function:

fn=predict
3

" Creating a simple demo using Blocks" " Flip Text! Start typing below to see the output." on the course webpage does not work for me.

4

It works fine now. But the code for musical notes needs to be changed at the very end so that gr.Textbox(type=“number”, value=1, label=“Duration in seconds”) becomes gr.Textbox(type=“text”, value=1, label=“Duration in seconds”),

5

I am trying the first Gradio example. When I use GoogleCoLab it works fine. But when I use Sagemaker Studio Lab, nothing appears. Do I need to do something else? The instructions state that when using a notebook, the Gradio display should occur inline. It does with GoogleCoLab, but not with Studio Lab.

6

There are two errors in the examples, probably related to API changes:

Microphone example:

# old:
mic = gr.Audio(source="microphone", type="numpy", label="Speak here...")
# results in TypeError: Audio.__init__() got an unexpected keyword argument 'source'

# solution
mic = gr.Audio(sources=["microphone"], type="numpy", label="Speak here...")

Tone generation example:

# old
gr.Textbox(type="number", value=1, label="Duration in seconds"),
# gives ValueError: `type` must be one of "text", "password", or "email".

# solution
gr.Number(value=1, label="Duration in seconds"),

There’s also a related error in the speech recognition example which I could not quickly resolve.

2 Likes
7

There is a typo in the section “Handling multiple inputs and outputs”, which is
“a list of output coponents, each component corresponds to a returned value.”