In this tutorial we will be building a document redaction app. Document redaction refers to the process of sanitizing and censoring a document based on selected terms. It is one of the applications of NLP – natural language processing. This image shows some of it use. In this case the important terms have been blacked …
Building A Document Redactor NLP App with Streamlit,Spacy and Python Read More »
In this tutorial we will be see how to render the named entities of a text extracted using spacy’s displacy in flask. First of all the basic requirement is to use the following packages Flask Spacy Flask-Markdown To install the various packages we will be using pip as below pip install flask Flask-Markdown spacy To …
How to Use Displacy in Flask For Named Entity Recognition Read More »
In this tutorial we will be learning how to render markdown in flask. There are several ways you can use to render markdown from the back-end(python side) to the front-end (html) side of your flask app. These packages include Flask-Markdown Flask-Misaka Markdown Let us start with Flask-Markdown. Using Flask Markdown Installation pip install Flask-Markdown …
Programming is the next generation literacy. It is something that everyone should endeavor to at least understand a bit. Just as reading and writing act as one of the backbones of civilization and scholarship, even so are programming and coding in this century and beyond. Programming is a broad field with several opportunities and usefulness. …
In this tutorial, we will be building a summarization app as well as a named entity checker app using streamlit, spacy,gensim and sumy. The NLP app will consist of three parts. Summarizer Entity Checker Entity Checker of Text Extracted from a URL We will be using displacy from spacy to display our Named Entity in …
Summarizer and Named Entity Checker App with Streamlit and SpaCy Read More »
Artificial Intelligence which includes Machine learning,Deep Learning,etc has changed the world and it is going to continue to change our lives. As we begin to accumulate more data via the smart technologies we used, there is going to be a huge demand for storage of these data. But that is not all, there is also …
4 Ways to Productionize Your Machine Learning Models Read More »
Among the many applications of machine learning and AI is text classification. In this tutorial we will see how to build a news classifier app with streamlit and python. We will be using our already prepared ML models to help us with our prediction. First of all, let us install the various packages we will …
Building a News Classifier Machine Learning App with Streamlit Read More »
In this tutorial, we will be learning how to use an awesome framework called streamlit to productionize our machine learning models. We will learn how to embed our ML models into streamlit, we will build machine learning apps with streamlit. So what is Streamlit? Streamlit is a machine learning framework for building production ready ML …
Building Machine Learning Apps with Streamlit (How to Embed ML Models) Read More »
Streamlit makes the creation of ML tools and Data Science Apps very easy and simple. In this tutorial we will see how to deploy our awesome streamlit apps on Amazon Web Services(AWS). We will be using the aws EC2 service. EC2 is an elastic cloud compute that acts as a virtual server that operate in …
In this tutorial , we will be learning how to deploy our awesome streamlit apps. The simplicity of streamlit makes it easier to build ML apps, Data Science Apps and other python apps. So what do you do if you want to deploy or publish your streamlit app? There are several options and platforms that …