aws-ai-qna-bot | Code samples related to Creating a Question and Answer Bot | AWS library

by aws-samples JavaScript Version: 4.6.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | aws-ai-qna-bot Summary

aws-ai-qna-bot is a JavaScript library typically used in Cloud, AWS applications. aws-ai-qna-bot has no bugs, it has no vulnerabilities and it has low support. However aws-ai-qna-bot has a Non-SPDX License. You can download it from GitHub.

This repository contains code for the QnABot, described in the AWS AI blog post “Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa”. See the "Getting Started" to launch your own QnABot.

Support

Quality

Security

License

Reuse

Support

aws-ai-qna-bot has a low active ecosystem.

It has 233 star(s) with 157 fork(s). There are 40 watchers for this library.

It had no major release in the last 12 months.

There are 59 open issues and 112 have been closed. On average issues are closed in 74 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aws-ai-qna-bot is 4.6.0

Quality

aws-ai-qna-bot has no bugs reported.

Security

aws-ai-qna-bot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

aws-ai-qna-bot has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

aws-ai-qna-bot releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of aws-ai-qna-bot

Get all kandi verified functions for this library.

aws-ai-qna-bot Key Features

No Key Features are available at this moment for aws-ai-qna-bot.

aws-ai-qna-bot Examples and Code Snippets

No Code Snippets are available at this moment for aws-ai-qna-bot.

Community Discussions

Trending Discussions on aws-ai-qna-bot

Adding an image to a toolbar in a Vue + Vuetify Single File Compnonent

QUESTION

Adding an image to a toolbar in a Vue + Vuetify Single File Compnonent

Asked 2019-Mar-10 at 00:26

I'm essentially just remixing the code available here for a side project: https://github.com/aws-samples/aws-ai-qna-bot.git

Problem: I'm trying to insert a centered logo in the toolbar between the app drawer and the logout button. Typically I could accomplish this pretty easily with vanilla HTML and CSS, but this project is leveraging Vue.js and Vuetify, which I'm doing my best to get myself up to speed with.

I've referenced the following documents, including the README.md in the git repo:

https://vuetifyjs.com/en/components/images

https://vuejs.org/v2/guide/single-file-components.html

File path: qna-bot-template/website/js/admin.vue

...

ANSWER

Answered 2019-Mar-10 at 00:26

If you are using a relative path to an image use v-img(src="/abc/xyz"). The ':' before src is shorthand for v-bind which you use for data-binding. So if your image path was dynamically generated you'd use :src="dynamicImage"' but if you are hard coding the path use src="/pathto/image.jpg". This might help.

Source https://stackoverflow.com/questions/55079999

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install aws-ai-qna-bot

During an upgrade, we recommend that existing QnABot content first be exported and downloaded from the Content Designer prior to the upgrade. In this release we expect upgrade to be smooth but just in case you should always have your QnABot content preserved.
Two approaches can be used to get started. Deploy from pre-created repositories or clone the repo and build a version yourself.

Support

You can specify that a Conditional Chaining rule runs a Lambda Function using the "Lambda::FunctionName" syntax. The Lambda function name must start with "QNA". The Lambda will receive arguments the same as Lambda Hooks. The function must return a String that is used to resolve the next item just the same as other conditional chaining rules.

Find more information at: