reform | Form objects decoupled from models | Form library

The code wasn't rerendering correctly because the GoogleBookSearch code wasn't correctly waiting to populate the bookDetails array. I suspect it's due to nesting the result.json() promise chain and not returning it. In other words, the await fetch(....).then((result) => { ... }) Promise resolved and the rest of the GoogleBookSearch function ran and returned an empty bookDetails array before the nested result.json() Promise chain resolved and later mutated the bookDetails array.

This is why clicking the search button wasn't triggering a rerender, but then later when you again typed in the search input, it would trigger a rerender and you'd see the mutated bookList state.

You can use str.findall:

The logic of your text summarization assumes that there are valid sentences which SpaCy will recognize but your example text doesn't provide that. SpaCy will likely just put it all in one long sentence, I don't think the text you fed into it would be split into multiple sentences. The sentence segmentation needs valid text input with punctuation marks etc. Try it with a text consisting of multiple sentences recognizable for SpaCy.

That is combined with the fact that you use int(len(sentence_tokens)*per). int conversion rounds down to the next smaller full number. So int(1*0.05) = int(0.05) = 0, aka it returns 0 sentences. This happens for every text with less than 20 segmented sentences. So change this ratio or use something like max(1, int(len(sentence_tokens)*per)).

I think other than that the code should generally work. I didn't look at every detail though. But I am not sure if you know exactly what it does: it summarizes by keeping only the per share of most representative full sentences, it doesn't change anything on word level.

You can try a tidyverse. Add three new columns to the right

An attempt:

When instantiating AutoModel, you must specify a model_type parameter in ./MRPC/config.json file (downloaded during Notebook runtime).

List of model_types can be found here.

Code that appends model_type to config.json, in the same format:

This might work for you (GNU sed):

Note: Try to select your elements more specific to get all information in one process - Defining a list outside your loops will avoid from overwriting

Following steps will create a list of dicts, that for example could simply iterated or turned into a data frame.

#1 Select all

that are direct siblings of a

Your searchState object or events array may be resulting in undefined that is why you are facing the issue

Try this