babanila / pretrain-ai

Pretrain-AI-App

Overview of Pretrain-AI-App

The Pretrain-AI-App provides a single API endpoint to search for movie information.

Modules

The Pretrain-AI-App combines different npm modules for it to work normally:

• Nodejs
• React
• Jest

Table of Contents

• Features
• Requirements
• Usage

Features

Pretrain-AI-App is a frontend app with a user interface where user can check and also see pretrained intents used for bots which have the below properties:-

• id: The unique ID that identifies the intent.
• name: The name of that intent.
• description: A string describing what the intent is used for.
• trainingData: The training data that is used to train the AI. It contains:
  • expressionCount: the total number of training expressions for this intent
  • expressions: An array with three example expressions for this intent, each with a unique id and a text field with the expression.
• reply: The reply the bot will give when the intent is recognized, containing again a unique id and a text field with the actual reply.

Requirements

• Install git, node, npm.
• Download Code Editor of your choice (VSCode recommended).
• Clone the repo ( link or use git clone [email protected]:Babanila/pretrain-ai.git).
• Go into root of the cloned directory and run npm install.
• Open the editor (VSCode) and locate the downloaded directory to start developing (or with code . in the project director on your terminal).
• A web browser (e.g. Google Chrome, Mozila, Firefox,Safari e.t.c). [email protected]:Babanila/pretrain-ai.git

Usage

How to start Pretrain-AI-App

• Open another computer terminal (command-line interface).
• Locate the downloaded pretrain-ai folder.
• Change the directory to the pretrain-ai folder(e.g cd pretrain-ai).
• Run yarn install.
• Run yarn start.
• The default system web browser would be open anf if not follow the steps below
  • Open a web browser of your choice
  • Enter the localhost address using port 8080 (e.g http://localhost:8080)

Test

• From the root directory run yarn test.

Things to consider doing for future

• Search functionality.
• Sorting of tables.
• Paging of results.