Create a Powerful Grammar and Spelling Correction App with Streamlit

Table of Contents

• Introduction
• Building a Streamlit Application
• Installing Libraries
• Setting up the Virtual Environment
• Writing the Code
• Running the Application
• Submitting Text for Correction
• Viewing the Results
• Conclusion

Introduction

In this article, we will learn how to build a Streamlit application that corrects grammar and spelling mistakes in text. We will be using the Gingerit library, which is a Python wrapper for the Ginger software. Streamlit is a powerful tool that allows data scientists and AI engineers to create web applications without extensive front-end development knowledge. So let's dive in and learn how to build our own grammar and spelling correction application!

Building a Streamlit Application

To begin building our application, we need to install the required libraries and set up a virtual environment. This will ensure a clean and isolated environment for our project. Once that is done, we can start writing our code.

Installing Libraries

The first step is to install the necessary libraries. We will be using Gingerit, which is a Python library that provides grammar and spelling correction capabilities. It has some limitations, such as a maximum WORD limit of 500, but for most use cases, it works perfectly fine. You can download Gingerit using pip by running the command pip install gingerit.

Setting up the Virtual Environment

Next, we need to set up a virtual environment for our project. This will ensure that the libraries we install are isolated from the system and do not conflict with other projects. To create a virtual environment, navigate to your project directory and run the command python -m venv venv. Activate the virtual environment by running the appropriate command for your operating system (source venv/bin/activate for Linux/Mac or venv\Scripts\activate for Windows).

Writing the Code

Now that our virtual environment is set up, we can start writing the code for our Streamlit application. We will first import the necessary libraries, including Streamlit and Gingerit. Then, we will define a function that takes in the user's text input and applies the correction function provided by Gingerit. Additionally, we can use text cleaning techniques like regular expressions or the Natural Language Toolkit to handle emojis or special characters if needed.

Running the Application

To run our Streamlit application, we need to define a main function and use the streamlit.run() command. Within the main function, we will create a text area input for the user to enter their text. We can also include a submit button to trigger the correction process. Once the correction is applied, we can display the corrected text to the user.

Submitting Text for Correction

By entering text into the text area and clicking the submit button, the user can submit their text for correction. The code will then pass the input text to the correction function and return the corrected text as a result.

Viewing the Results

After submitting the text, the corrected text will be displayed to the user. The Gingerit library identifies spelling and grammar mistakes and provides suggestions for correction. This allows the user to review and edit their text accordingly.

Conclusion

In this article, we learned how to build a Streamlit application that corrects grammar and spelling mistakes in text. We used the Gingerit library to perform the corrections and Streamlit to create the interactive web interface. By following the steps outlined in this article, you can now create your own grammar and spelling correction application using Python and Streamlit.