Text Generation PowerPoint, Assignments of Network security

This document presents a PowerPoint presentation on Text Generation using Artificial Intelligence (AI). It explores the concept of text generation, explaining how AI-powered tools are used to automatically produce written content such as essays, summaries, reports, and presentation slides based on user prompts. The presentation covers key areas including the definition of text generation, how AI models such as natural language processing (NLP) systems work, and their application in academic and professional settings.

Typology: Assignments

2025/2026

Available from 06/12/2026

mr-mwangi
mr-mwangi 🇰🇪

9 documents

1 / 13

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
TEXT GENERATION
USING FAST API AND
NLP
Name: Gagandeep Kaur
Student ID: 27766172
Institution: University of Lincoln
School of Computer Science+
pf3
pf4
pf5
pf8
pf9
pfa
pfd

Partial preview of the text

Download Text Generation PowerPoint and more Assignments Network security in PDF only on Docsity!

TEXT GENERATION

USING FAST API AND

NLP

Name: Gagandeep Kaur Student ID: 27766172 Institution: University of Lincoln School of Computer Science

Introduction

  • (^) This Application utilizes FastAPI framework to create an API that interact with NLP , in order to allow users to get key words from uploaded documents.
  • (^) Upon successful development, this application facilitates document analysis and interpretation of bulk data, saving time which would otherwise be done manually.

Incase the sign up Username Is not

unique, users will not be able to access

the application

Successful Signing up redirects the User to the home page, awarding him 3 connects which he will use for bidding

  • (^) Users can make prompts using the input field present and make use the button to generate

Welcome back page, welcoming

users who had initially left

When users make prompts, the API endpoint interacts with nlp library and provides the top 20 keywords in the document. Check it out

The credits reduce when users make prompts. This is useful to moderate to prompting and handle large number of users.

Upon using all the three credit tokens, the buttons are disabled and users can no longer make requests to the nlp model, unless they purchase

API documentation in swagger

format. Available in the git-hub

repository