IBM, updated 🕥 2023-01-06 05:35:46

Create a Chatbot experience to help students learning remotely to find courses and develop curriculums



Description

It is the year 2020 and students are experiencing a new way of life when it comes to getting an education. Students are realizing they need to adopt a proactive and self-service mindset in to fulfill their academic needs. An intelligent chatbot that helps students find and access learning content supports this new self-service model. This pattern shows users how to build a self-service chatbot not only for education, but also for any other industries where users need to find information quickly and easily.

Using Watson Assistant, this pattern defines a dialog that a student and a course provider might experience as a student searches for learning content. Students can input grade-level and academic topics question, and the chatbot responds with course recommendations and learning content links. The conversation responses are further enhanced by using Watson Discovery and the Watson Assistant Search skill. Natural Language Understanding (NLU) is introduced in this pattern to complement Watson Discovery's accuracy by extracting custom fields for entities, concepts, and categories.

What is an Assistant Search Skill?

An Assistant search skill is a mechanism that allows you to directly query a Watson Discovery collection from your Assistant dialog. A search skill is triggered when the dialog reaches a node that has a search skill enabled. The user query is then passed to the Watson Discovery collection via the search skill, and the results are returned to the dialog for display to the user. Customizing how your documents are indexed into Discovery improves the answers returned from queries and what your users experience.

Click here for more information about the Watson Assistant search skill.

Why Natural Language Understanding (NLU)?

NLU performs text analysis to extract metadata such as concepts, entities, keywords, and other types of categories of words. Data sets are then enriched with NLU-detected entities, keywords, and concepts (for example, course names). Although Discovery provides great results, sometimes a developer finds that the results are not as relevant as they might be and that there is room for improvement. Discovery is built for "long-tail" use cases where the use case has many varied questions and results that you can't easily anticipate or optimize. Additionally, if the corpus of documents is relatively small (less than 1000), Discovery doesn't have enough information to distinguish important terms and unimportant terms. Discovery can work with a corpus this small - but it is less effective because it has less information about the relative frequency of terms in the domain.

Flow

Architecture

  1. Execute Python program to run data set through Natural Language Understanding to extract the meta-data (e.g. course name, desciption,etc) and enrich the .csv file
  2. Run Node program to convert .csv to .json files (required for the Discovery collection)
  3. Programmatially upload .json files into the Discovery Collection
  4. The user interacts through the chatbot via a Watson Assistant Dialog Skill
  5. When the student asks about course information, a search query is issued to the Watson Discovery service through a Watson Assistant search skill. Discovery returns the responses to the dialog

Included components

  • IBM Watson Assistant: Build, test and deploy a bot or virtual agent across mobile devices, messaging platforms, or even on a physical robot.
  • IBM Watson Discovery: A cognitive search and content analytics engine for applications to identify patterns, trends, and actionable insights.
  • IBM Watson Natural Language Understanding: Analyze text to extract metadata from content such as concepts, entities, keywords, categories, sentiment, emotion, relations, and semantic roles using natural language understanding.

Featured technologies

  • Node.js Versions >= 6: An asynchronous event driven JavaScript runtime, designed to build scalable applications.
  • Python V3.5+: Download the latest version of Python
  • Pandas: pandas is a fast, powerful, flexible, and easy-to-use open source data analysis and manipulation tool built on top of the Python programming language.

Pre-requsites

Steps

Follow these steps to setup and run this code pattern. The steps are described in detail below.

  1. Clone the Rep

  2. Create IBM Cloud services

  3. Configure Watson Natural Language Understanding

  4. Configure Watson Discovery

  5. Configure Watson Assistant and Test the Chatbot

1. Clone the repo

bash git clone https://github.com/IBM/Education-SelfService-AI-Assistant

2. Create IBM Cloud services

Create the following services:

NOTE: use the Plus offering of Watson Assistant. You have access to a 30 day trial.

  • Create a copy of the env-sample file and call it .env Add in your NLU and Discovery credentials.

3. Configure Watson NLU

NLU enriches Discovery by creating the addition of metadata tags to your data sets. In other words, includes terms that overlap with words that users might actually provide in their queries.

  • The following instruction has the developer run the .csv files through NLU and extract entities and concepts. Do this by running the python program:
    bash cd src pip install watson-developer-cloud==1.5 pip install --upgrade ibm-watson pip install pandas sudo pip3 install -U python-dotenv python NLUEntityExtraction.py

Note that this may take a few minutes. This will create 2 .csv files. Take a look at the format by exploring the files.

4. Configure Watson Discovery

Watson Discovery uses AI search technology to retrieve answers to questions. It contains language processessing capabilities and can be trained on both structured and unstructured data. The data that Discovery is trained on is contained within what is called a Collection (aka Database). You can learn more about Watson Discovery here

Create Discovery Collection

  1. First create a Discovery Collection. This is the database that holds your response data.

  2. Find the Discovery service in your IBM Cloud Dashboard.

  3. Click on the service and then click on Launch Watson Discovery.
  4. Create a new data collection by hitting the Upload your own data button. You will see that you have one collection created that comes with Discovery by default. That is the Watson Discovery News collection.
  5. Provide a collection name - call it Courses
  6. Select English language
  7. Click Create

You will need to configure Discovery in 2 steps:

  1. Create a set of .json files that Discovery will consume for its collection. The node program converts the .csv file to a set of .json files in a directory named manualdocs.

  2. Install Node.js (Versions >= 6).

  3. In the root directory of your repository, install the dependencies. bash npm install

  4. Run below command bash node read-file.js

  5. Verify the JSON files exists.

  6. Programmatically upload the .json files into the discovery collection

ensure you have added your Discovery credentials into a .env file sitting in your root directory of your repo.

bash npm install python-dotenv npm install ibm-watson node upload-file.js

This will take approximately 5 minutes or less. Documents are uploaded to your Courses Collection. Take a look and explore the collection. You should see about 135 documents.

NOTE: If using the Discovery Lite plan, you are limited to loading up to 1000 files into your discovery service. This limit is not per collection, but the combined number for all collections in your service.

5. Configure Watson Assistant and test the Chatbot

Create assistant

  • Find the Assistant service in your IBM Cloud Dashboard.

  • Click on the service and then click on Launch Watson Assistant.

  • Go to your Assistant tab and click create assistant.

Create Assistant dialog skill and test the chatbot

You will see that you now have the ability to add a: * Dialog skill * Search skill



  • Click on Add dialog skill

Note: You will import the Dialog skill that is saved within this repo: data/assistant/Student-skill-dialog.json.

  • Click on Import Skill

  • Click on Choose JSON File. Go to your cloned repo dir, and Open the JSON file in data/assistant/Student-skill-dialog.json

  • Click on Import

You will see that the dialog has been imported. Click on the words Student-skill and explore the dialog to see the intents, entities, dialog. You can also add to the dialog to extend the conversation.

Note: you can also create your dialog from scratch by selecting Create skill and adding in your own intents, entities and dialog.

Create Assistant search skill

From your Assistant panel, click on Add search skill.

Note: If you have provisioned Watson Assistant on IBM Cloud, the search skill is only offered on a paid plan, but a 30-day trial version is available if you click on the Plus button.



From the Add Search Skill panel, select the Create skill tab.

Give your search skill a unique name, then click Continue.

From the search skill panel, select the Discovery service instance and collection you created previously.

Note Assistant can only connect to 1 Discovery collection at a time. You will use either the elementary or high school collections and then discovery will respond appropriately.

Click Configure to continue.

From the Configure Search Response panel, select name as the field to use for the Title of the response. Select Description as the field for the Body and select URL as the filled to use foor URL. Click Save to complete the configuration.

Now when the dialog skill node invokes the search skill, the search skill will query the Discovery collection and display the text result to the user.

Learn more about the assistant search skill here

Enable search skill

  • From your Assistant panel, click on the three dots in the upper right-hand corner and select Settings.



  • Select the Search Skill tab and ensure that is in Enabled.

NOTE: The following feature is currently only available for Watson Assistant provisioned on IBM Cloud.

Test out the Chatbot

Normally, you can test the dialog skill be selecting the Try it button located at the top right side of the dialog skill panel, but when integrated with a search skill, a different method of testing must be used.



From your assistant panel, select Add Integrations.

From the list of available integration types, select Preview link.

From the Preview link integration panel, name your preview link and click Create.

If you click on the generated URL link, you will be able to interact with your dialog skill. Note that the input "Can you recommend a math class?" has triggered our Which grade do you want recommendation for dialog node and invoked our search skill.

Troubleshooting

  • Error: If you get an error that says you > Traceback (most recent call last): > File "NLUEntityExtraction.py", line 4, in > import pandas as pd > ImportError: No module named pandas

    you need to make sure you are using the same verion of pip and python. We recommend you use Python 3 and Pip 3

  • Error: Unable to list workspaces for Watson Assistant: Forbidden: Access is denied due to invalid credentials.

This error occurs with Deploy to IBM Cloud button. Configure a runtime environment variable for ASSISTANT_APIKEY to allow automatic configuration of the default skill or configure SKILL_ID to use another skill.

  • Error: Only one free environment is allowed per organization

To work with a free trial, a small free Discovery environment is created. If you already have a Discovery environment, this will fail. If you are not using Discovery, check for an old service thay you may want to delete. Otherwise use the .env DISCOVERY_ENVIRONMENT_ID to tell the app which environment you want it to use. A collection will be created in this environment using the default configuration.

Related Links

Learn more

  • Artificial Intelligence Code Patterns: Enjoyed this code pattern? Check out our other AI Code Patterns.
  • AI and Data Code Pattern Playlist: Bookmark our playlist with all of our code pattern videos
  • With Watson: Want to take your Watson app to the next level? Looking to utilize Watson Brand assets? Join the With Watson program to leverage exclusive brand, marketing, and tech resources to amplify and accelerate your Watson embedded commercial solution.

License

This code pattern is licensed under the Apache Software License, Version 2. Separate third party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses. Contributions are subject to the Developer Certificate of Origin, Version 1.1 (DCO) and the Apache Software License, Version 2.

Apache Software License (ASL) FAQ

Issues

Bump json5 from 2.1.3 to 2.2.3 in /src

opened on 2023-01-06 05:35:46 by dependabot[bot]

Bumps json5 from 2.1.3 to 2.2.3.

Release notes

Sourced from json5's releases.

v2.2.3

v2.2.2

  • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295).

v2.2.1

  • Fix: Removed dependence on minimist to patch CVE-2021-44906. (#266)

v2.2.0

  • New: Accurate and documented TypeScript declarations are now included. There is no need to install @types/json5. (#236, #244)
Changelog

Sourced from json5's changelog.

v2.2.3 [code, diff]

v2.2.2 [code, diff]

  • Fix: Properties with the name __proto__ are added to objects and arrays. (#199) This also fixes a prototype pollution vulnerability reported by Jonathan Gregson! (#295).

v2.2.1 [code, diff]

  • Fix: Removed dependence on minimist to patch CVE-2021-44906. (#266)

v2.2.0 [code, diff]

  • New: Accurate and documented TypeScript declarations are now included. There is no need to install @types/json5. (#236, #244)
Commits
  • c3a7524 2.2.3
  • 94fd06d docs: update CHANGELOG for v2.2.3
  • 3b8cebf docs(security): use GitHub security advisories
  • f0fd9e1 docs: publish a security policy
  • 6a91a05 docs(template): bug -> bug report
  • 14f8cb1 2.2.2
  • 10cc7ca docs: update CHANGELOG for v2.2.2
  • 7774c10 fix: add proto to objects and arrays
  • edde30a Readme: slight tweak to intro
  • 97286f8 Improve example in readme
  • Additional commits viewable in compare view


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Bump qs from 6.5.2 to 6.5.3 in /src

opened on 2022-12-11 05:16:47 by dependabot[bot]

Bumps qs from 6.5.2 to 6.5.3.

Changelog

Sourced from qs's changelog.

6.5.3

  • [Fix] parse: ignore __proto__ keys (#428)
  • [Fix] utils.merge: avoid a crash with a null target and a truthy non-array source
  • [Fix] correctly parse nested arrays
  • [Fix] stringify: fix a crash with strictNullHandling and a custom filter/serializeDate (#279)
  • [Fix] utils: merge: fix crash when source is a truthy primitive & no options are provided
  • [Fix] when parseArrays is false, properly handle keys ending in []
  • [Fix] fix for an impossible situation: when the formatter is called with a non-string value
  • [Fix] utils.merge: avoid a crash with a null target and an array source
  • [Refactor] utils: reduce observable [[Get]]s
  • [Refactor] use cached Array.isArray
  • [Refactor] stringify: Avoid arr = arr.concat(...), push to the existing instance (#269)
  • [Refactor] parse: only need to reassign the var once
  • [Robustness] stringify: avoid relying on a global undefined (#427)
  • [readme] remove travis badge; add github actions/codecov badges; update URLs
  • [Docs] Clean up license text so it’s properly detected as BSD-3-Clause
  • [Docs] Clarify the need for "arrayLimit" option
  • [meta] fix README.md (#399)
  • [meta] add FUNDING.yml
  • [actions] backport actions from main
  • [Tests] always use String(x) over x.toString()
  • [Tests] remove nonexistent tape option
  • [Dev Deps] backport from main
Commits
  • 298bfa5 v6.5.3
  • ed0f5dc [Fix] parse: ignore __proto__ keys (#428)
  • 691e739 [Robustness] stringify: avoid relying on a global undefined (#427)
  • 1072d57 [readme] remove travis badge; add github actions/codecov badges; update URLs
  • 12ac1c4 [meta] fix README.md (#399)
  • 0338716 [actions] backport actions from main
  • 5639c20 Clean up license text so it’s properly detected as BSD-3-Clause
  • 51b8a0b add FUNDING.yml
  • 45f6759 [Fix] fix for an impossible situation: when the formatter is called with a no...
  • f814a7f [Dev Deps] backport from main
  • Additional commits viewable in compare view


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Bump codecov from 3.6.5 to 3.8.3 in /src

opened on 2022-06-23 23:20:28 by dependabot[bot]

Bumps codecov from 3.6.5 to 3.8.3.

Release notes

Sourced from codecov's releases.

v3.8.3

Fixes

  • #329 fix: Test if response has two lines

Dependencies

  • #306 Bump eslint-config-prettier from 7.2.0 to 8.3.0
  • #305 Bump eslint from 7.21.0 to 7.25.0
  • #302 Bump mock-fs from 4.13.0 to 4.14.0
  • #308 Bump lodash from 4.17.19 to 4.17.21
  • #309 Bump ignore-walk from 3.0.3 to 3.0.4
  • #310 Bump hosted-git-info from 2.8.8 to 2.8.9
  • #325 Bump prettier from 2.2.1 to 2.3.2
  • #326 Bump actions/setup-node from 2.1.5 to 2.2.0
  • #328 Bump lint-staged from 10.5.4 to 11.0.1
  • #330 Bump eslint from 7.25.0 to 7.31.0
  • #331 Bump ws from 7.3.1 to 7.5.3
  • #332 Bump urlgrey from 0.4.4 to 1.0.0
  • #334 Bump husky from 6.0.0 to 7.0.1
  • #333 Bump teeny-request from 7.0.1 to 7.1.1

v3.8.2

3.8.2

Fixes

  • #304 Add coverage-final.json as a possible coverage file during file lookup

v3.8.1

Fixes

  • #246 Revert "Bump teeny-request from 6.0.1 to 7.0.0"

v3.8.0

Features

  • #160 Add Github Actions support

Fixes

  • #173 Fix broken gcov command
  • #195 Update Node testing versions
  • #200 Remove flaky tests
  • #204 Create CHANGELOG and remove flaky v4 test
  • #208 Add license scan report and status
  • #220 Remove errant bitly

Dependencies

  • #189 Bump lint-staged from 10.0.7 to 10.2.11
  • #190 [Security] Bump handlebars from 4.5.3 to 4.7.6
  • #191 Bump prettier from 1.19.1 to 2.0.5
  • #192 Bump mock-fs from 4.10.4 to 4.12.0
  • #196 Bump teeny-request from 6.0.1 to 7.0.0

... (truncated)

Changelog

Sourced from codecov's changelog.

3.8.3

Fixes

  • #329 fix: Test if response has two lines

Dependencies

  • #306 Bump eslint-config-prettier from 7.2.0 to 8.3.0
  • #305 Bump eslint from 7.21.0 to 7.25.0
  • #302 Bump mock-fs from 4.13.0 to 4.14.0
  • #308 Bump lodash from 4.17.19 to 4.17.21
  • #309 Bump ignore-walk from 3.0.3 to 3.0.4
  • #310 Bump hosted-git-info from 2.8.8 to 2.8.9
  • #325 Bump prettier from 2.2.1 to 2.3.2
  • #326 Bump actions/setup-node from 2.1.5 to 2.2.0
  • #328 Bump lint-staged from 10.5.4 to 11.0.1
  • #330 Bump eslint from 7.25.0 to 7.31.0
  • #331 Bump ws from 7.3.1 to 7.5.3
  • #332 Bump urlgrey from 0.4.4 to 1.0.0
  • #334 Bump husky from 6.0.0 to 7.0.1
  • #333 Bump teeny-request from 7.0.1 to 7.1.1

3.8.2

Fixes

  • #304 Add coverage-final.json as a possible coverage file during file lookup

3.8.1

Fixes

  • #246 Revert "Bump teeny-request from 6.0.1 to 7.0.0"

3.8.0

Features

  • #160 Add Github Actions support

Fixes

  • #173 Fix broken gcov command
  • #195 Update Node testing versions
  • #200 Remove flaky tests
  • #204 Create CHANGELOG and remove flaky v4 test
  • #208 Add license scan report and status
  • #220 Remove errant bitly

Dependencies

  • #189 Bump lint-staged from 10.0.7 to 10.2.11
  • #190 [Security] Bump handlebars from 4.5.3 to 4.7.6
  • #191 Bump prettier from 1.19.1 to 2.0.5

... (truncated)

Commits
  • e22061b Merge pull request #335 from codecov/3.8.3
  • 981df8b 3.8.3
  • 135555c Merge pull request #333 from codecov/dependabot/npm_and_yarn/teeny-request-7.1.1
  • 65b53a3 Merge pull request #334 from codecov/dependabot/npm_and_yarn/husky-7.0.1
  • 6e4af4d Bump teeny-request from 7.0.1 to 7.1.1
  • 1149168 Merge pull request #332 from codecov/dependabot/npm_and_yarn/urlgrey-1.0.0
  • 883785c Merge pull request #331 from codecov/dependabot/npm_and_yarn/ws-7.5.3
  • 04d5ff7 Merge pull request #330 from codecov/dependabot/npm_and_yarn/eslint-7.31.0
  • e6c5bf4 Bump husky from 6.0.0 to 7.0.1
  • f781bc4 Bump ws from 7.3.1 to 7.5.3
  • Additional commits viewable in compare view


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Bump shell-quote from 1.7.2 to 1.7.3 in /src

opened on 2022-06-23 03:10:23 by dependabot[bot]

Bumps shell-quote from 1.7.2 to 1.7.3.

Changelog

Sourced from shell-quote's changelog.

1.7.3

  • Fix a security issue where the regex for windows drive letters allowed some shell meta-characters to escape the quoting rules. (CVE-2021-42740)
Commits


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Bump async from 2.6.3 to 2.6.4 in /src

opened on 2022-04-29 09:56:33 by dependabot[bot]

Bumps async from 2.6.3 to 2.6.4.

Changelog

Sourced from async's changelog.

v2.6.4

  • Fix potential prototype pollution exploit (#1828)
Commits
Maintainer changes

This version was pushed to npm by hargasinski, a new releaser for async since your current version.


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Bump node-fetch from 2.6.0 to 2.6.7 in /src

opened on 2022-01-22 12:02:11 by dependabot[bot]

Bumps node-fetch from 2.6.0 to 2.6.7.

Release notes

Sourced from node-fetch's releases.

v2.6.7

Security patch release

Recommended to upgrade, to not leak sensitive cookie and authentication header information to 3th party host while a redirect occurred

What's Changed

Full Changelog: https://github.com/node-fetch/node-fetch/compare/v2.6.6...v2.6.7

v2.6.6

What's Changed

Full Changelog: https://github.com/node-fetch/node-fetch/compare/v2.6.5...v2.6.6

v2.6.2

fixed main path in package.json

v2.6.1

This is an important security release. It is strongly recommended to update as soon as possible.

See CHANGELOG for details.

Changelog

Sourced from node-fetch's changelog.

Changelog

All notable changes will be recorded here.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

What's Changed

New Contributors

Full Changelog: https://github.com/node-fetch/node-fetch/compare/v3.1.0...v3.1.2

3.1.0

What's Changed

... (truncated)

Commits
  • 1ef4b56 backport of #1449 (#1453)
  • 8fe5c4e 2.x: Specify encoding as an optional peer dependency in package.json (#1310)
  • f56b0c6 fix(URL): prefer built in URL version when available and fallback to whatwg (...
  • b5417ae fix: import whatwg-url in a way compatible with ESM Node (#1303)
  • 18193c5 fix v2.6.3 that did not sending query params (#1301)
  • ace7536 fix: properly encode url with unicode characters (#1291)
  • 152214c Fix(package.json): Corrected main file path in package.json (#1274)
  • b5e2e41 update version number
  • 2358a6c Honor the size option after following a redirect and revert data uri support
  • 8c197f8 docs: Fix typos and grammatical errors in README.md (#686)
  • Additional commits viewable in compare view
Maintainer changes

This version was pushed to npm by endless, a new releaser for node-fetch since your current version.


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