Layout Streamlit Application

Streamlit is an amazing technology that turns python scripts into shareable web apps in minutes. Streamlit enables developers to easily create beautiful web apps that can create great experiences for the

Deploy the Streamlit Application

Let’s see how we can deploy our streamlit application on the internet to showcase our work. The article discusses the two methods to deploy the streamlit application into the Web

NLP with Streamlit

In this article, we are going to talk about how we can embed some of the functionalities of NLP(Natural Language Processing) like named entity recognition and sentiment analysis, in a

Altair with STREAMLIT

Altair is a declarative statistical visualization library for Python, based on Vega. Altair is becoming the first choice of people looking for a quick and efficient way to visualize datasets. The

Plotly with STREAMLIT

Plotly is an open-source graphing library that makes interactive, publication-quality graphs. Plotly is a very helpful tool for understanding and visualizing data. Plotly supports various plots such as scatter plots,

STREAMLIT – Embed Code

In this article, we are going to talk about how to embed code snippets in our streamlit application. Streamlit has built-in methods to embed code snippets. And also streamlit components

Image Processing with STREAMLIT

In this article, we will see how we can use Streamlit with Image Processing Techniques. Assuming that you have Streamlit installed and working on your system. Table of Contents Show

Map Box in STREAMLIT

Mapbox is a location data platform that powers the maps and location services used in many popular apps. Mapbox allows drawing a map dynamically, inside a web browser, instead of downloading

Seaborn with STREAMLIT

Seaborn is an amazing data visualization library for statistical graphics plotting in Python. Seaborn provides beautiful default styles and color palettes to make statistical plots more attractive. Seaborn is built on the top

Matplotlib with STREAMLIT

Matplotlib is an amazing visualization library in Python. And, Streamlit is an amazing technology that turns data scripts into shareable web apps in minutes. The main agenda of the article

Streamlit Interview Questions

How do you create date time field in streamlit? How to disable text bar in streamlit? How to set default value in textbar? How do you convert an image to

File Upload / Download with Streamlit

You can upload or download a file in a Streamlit workflow. So, suppose you have an ML app that is related to image classification or text analysis, so you might

Configuring Streamlit Page

When creating a streamlit app it is desirable to have the right title appear inside the tab name in your browser with a distinct icon. Moreover, there are styles and

Working with text input in Streamlit

When creating a data app it’s desirable the app is dynamic in nature and the results are shown as per the user demands. For this, we need to take input

Working with Images, Audios, and Videos with Streamlit

You can easily add references, introductions, explanations, etc in the form of media files for your ML/data app seamlessly now. Streamlit offers to easily upload your media files like images,

Working with Streamlit Widgets

With widgets, you can make your project more appealing to the audience. Streamlit offers a range of widgets that you can include in your project like buttons, checkboxes, sliders, expanders,

Displaying Text, Pandas Dataframe, Table and JSON in Streamlit

When we are presenting the data or model to someone it is desirable to have sections, titles, header, subheaders, tables, etc to present data in a neat manner. Tables and

Introduction to Streamlit

Streamlit is an open-source app framework for ML & Data Science visualization. It allows the user to create and share beautiful data apps in a matter of hours if not