This device is not compatible.
PROJECT
Intelligent Text Assistant for Prediction and Completion
In this project, we’ll build an intelligent text assistant Flask application for predictive typing and text correction using Hugging Face models and Python libraries.
You will learn to:
Create a Flask application.
Create a dynamic application with AJAX.
Use Hugging Face models in Flask applications.
Perform language processing with the help of Python libraries.
Skills
Web Development
Artificial Intelligence
Natural Language Processing
Prerequisites
Hands-on experience with Python
Basic knowledge of Flask
Technologies
Flask
Python
Hugging Face
Project Description
In this project, we’ll develop an intelligent text assistant—a Flask-based text editor application. This application utilizes the Python library (pyspellchecker) for text checking and Hugging Face models based on GPT-2 to implement the advanced prediction functionality.
In this project, we‘ll aim to create an intelligent text assistant that can assist users in predicting and completing text. We will use Python libraries and Hugging Face models for quick, powerful, and flexible implementation, providing users with a reliable and efficient text assistant experience.
Project Tasks
1
Getting Started
Task 0: Get Started
Task 1: Import the Libraries
Task 2: Create a Form
2
Next Word Suggestion
Task 3: Implement the Next-Word Suggestion Feature
Task 4: Handle and Route the Request Object
3
Sentence Completion
Task 5: Implement the Sentence Completion Functionality
Task 6: Handle and Route the Request Object
4
Fix by Selection
Task 7: Implement the Spell-Fix Functionality
Task 8: Handle and Route the Request Object
5
Fix All Misspellings
Task 9: Implement the Fix-All Functionality
Task 10: Handle and Route the Request Object
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.