Dear All, Please I am developing a Text Classifier and will like to display LIME TextExplainer. Unlike SHAP , the output is html/d3 My code so far: import streamlit as st import sklearn import lime import numpy as np import sklearn import sklearn.ensemble import sklearn.metrics from sklearn.pipel…

Hi @iEvidently , thanks a lot for your question. Can you point at what exactly is your problem? I am assuming it is in the st.markdown(html, unsafe_allow_html=True) We do advise not to use the unsafe_allow_html=True option if not to experiment. We are working at creating a better API for html inj…

Hi Matteo, Thanks a lot for the reply. Instead of showing the following, the app is not rendering the html properly, just showing the codes: [00] This is what is showing: [14]

@iEvidently - yeah, this definitely looks like a bug. Can you post an example result.html that causes this to happen, so we can investigate further?

Hi Tim, Thanks a lot. The result.html is very long and can not upload html file. Please see below: <html> <meta http-equiv="content-type" content="text/html; charset=UTF8"> <head><script>var lime = /******/ (function(modules) { // webpackBootstrap /******/ // The module cache /**…

Display LIME TextExplainer with Streamlit

Using Streamlit

arraydude December 2, 2019, 6:46pm 6

Hi @iEvidently,

I’m moving this discussion to a new GitHub issue, please upload a zip file there containing the result.html file so we can debug it.

Thanks!

How to print lime output on python web application using streamlit?

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Display LIME TextExplainer with Streamlit

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