Hi, just trying out the library, seems to work great!

But for me, when installing via pypi, the library was installed as annotated_text not as st_annotated_text, so instead of the instructions in the README, I had to:

from annotated_text import annotated_text

Please provide an option to set the height of the output iframe. https://docs.streamlit.io/en/stable/develop_streamlit_components.html#streamlit.components.v1.html

Is it possible to extend this component so that if I mark I word with my courser, it gets automatically annotated by the class I chose in advance? Just an ide I wanted to share. I'd really much like it.

i cannot use the component , and get this error, i am working on python 3.6.9 and ubuntu 18.04 with virtualenv during pip install i saw this "Failed building wheel for htbuilder" "Failed to build st-annotated-text-htbuilder" Installing collected packages: iteration -builder.................................. When running the app, it shows error: line 4, in from annotated_text import annotated_text error: in from htbuilder import HtmlElement, div, span, styles

thanks if can resolve 

Streamlit applications using this component are not properly visible when preferring Dark Mode or have it set as system default.

Light Mode

Dark Mode

The non-highlighted text colors should inherit from the current Theme (Light/Dark/Custom).

Using spacy to get part of speech tagging, and essentially emulating displacy I built myself a quick annotation getting function:

`def get_annotations(text): result = [] d = { 'ADJ':'#7FFFD4', 'PROPN':'#7FFF00', 'AUX':'#9932CC', 'VERB':'#556B2F', 'NOUN':'#BDB76B' } k = set(list(d.keys())) doc = nlp(text) for x in doc: token = "" if x.pos_ in k: token = (x.text, x.pos_, d.get(x.pos_)) else: token = x.text

    result.append(token)
return tuple(result)

`

My issue comes up when submitting the result to annotated_text(). In fact, if I save the example's sample text to a variable I get an oh noes error. Is there any way of passing a tuple of tuples or a list of tuples?

Hi,

Do we have any limitations in the height of text to displayed in streamlit via this function? The text I am using is a 8 times duplication of the same set of arguments given in the document example. This is showing the visualization only very few text annotations and hides remaining.

For Example:

Here is the annotations I pass to the function:

annotated_text(
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),
    "This ",
    ("is", "verb", "#8ef"),
    " some ",
    ("annotated", "adj", "#faa"),
    ("text", "noun", "#afa"),
    " for those of ",
    ("you", "pronoun", "#fea"),
    " who ",
    ("like", "verb", "#8ef"),
    " this sort of ",
    ("thing", "noun", "#afa"),

)

Output:

This is VERB some annotated ADJ text NOUN for those of you PRONOUN who like VERB this sort of thing NOUN This is VERB some annotated ADJ text NOUN for those of you PRONOUN who like VERB this sort of thing NOUN This is VERB some annotated ADJ text NOUN for those of you PRONOUN who like VERB this sort of thing NOUN This is VERB some annotated ADJ text NOUN for those of you PRONOUN

Remaining text doesnt appear in the output (UI). I had also changed the texts but its limiting to few arguments only. When I inspect, I see all the data available in the inspection but not getting displayed in frontend.

What could be the issue? Am I missing something or this is a limitation?

Thanks.

Hi,

I have st-annotated-text installed using pip, but I cannot import the module as described in your readme-file.

This is what I get when I enter pip show st-annotated-text:

Name: st-annotated-text Version: 1.0.1 Summary: A simple component to display annotated text in Streamlit apps. Home-page: https://github.com/tvst/st-annotated-text Author: Thiago Teixeira Author-email: [email protected] License: Apache 2 Location: /home/monique/anaconda3/envs/ta/lib/python3.6/site-packages Requires: htbuilder Required-by:

So, everything looks good.

However, when I then say: from st_annotated_text import annotated_text

It gives me the module not found-error. I was trying to figure out what the package name should be, but no luck, since I am not that hardcore python-developer.

Perhaps there is an easy solution.

For where label = "": Remove padding around label if "" is sent in (unlikely anyone wants it). Optionally - use None for no padding and "" for padding?

Resolves #25

Hi,

I am trying to highlight a long sentence (sentence greater than width parameter), except specific substring in the beginning of the text like below.

Code used:

answer = "As you can see, streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science."
context = "Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science."

height = int(len(context)) * 0.3 + 30

annotated_text(answer.replace(context[0].lower() + context[1:], ""), (context[0].lower() + context[1:], "Longer", "#8cff66"))

As you see in the above image, the substring "As you can see" which I don't want to highlight is getting printed in a different line. This is happening because the sentence length is higher than the default line width of page.

But, the output I am expecting is something like this:

Conclusion:

I want to highlight a text longer than line width of page except the specific substring at the begin of the text. But I do not want that non-highlighted substring to be printed as a different line.

Is it possible to achieve this using st-annotated-text? Any help is appreciated.

@tvst

Hi,

I am currently using streamlit themes and trying to display annoated text and it always shows the text in black. Please see the sample below for your reference. Kindly guide me in resolving this issue.

Hello i would like to install st-annotated-text, but when tried with pip installation, it shows error and states that visual c++ is required. I don't have visual studio c++ installed in my system. Hence if possible kindly provide '.whl' file of st-annotated-text, so that I can insta it with out Visual studio.

hi @tvst , I have recently started working this awesome library I loved the concept of the library, I wanted to know can we change the background color of the printed output using annotation_text(*list1)

I tried nesting it with st.success and st.markdown but it does not work the way like i indended (anything similar to st.success green background will work )

modified util.py to accept list of elements as input.

so far, elements have to be passed on like below,

annotated_text(
    "This ",    ("is", "verb", "#8ef"),    " some ",    ("annotated", "adj", "#faa"),    ("text", "noun", "#afa"),    " for those of ",
    ("you", "pronoun", "#fea"),    " who ",    ("like", "verb", "#8ef"),    " this sort of ",    ("thing", "noun", "#afa"),    "."
)

with this PR, we can pass a list

any_list =    ["This ",   ("is", "verb", "#8ef"),    " some ",    ("annotated", "adj", "#faa"),    ("text", "noun", "#afa"),    " for those of ",    ("you", "pronoun", "#fea"),     " who ",    ("like", "verb", "#8ef"),    " this sort of ",    ("thing", "noun", "#afa"),    "."]

annotated_text(any_list)

Hello, sometimes I want to highlight (colour) some text but not provide an annotation like NOUN or VERB. However, if I provide "" I still get the padding which looks a bit odd.

I'll be taking a look at the code my end, and if I manage to change the behaviour I'll submit a PR if that's OK?