Make Watson Assistant send messages to your Discord Server

Overview

Make Watson Assistant send messages to your Discord Server

Prerequisites

  1. Sign up for an IBM Cloud account.
  2. Fill in the required information and press the „Create Account“ button.
  3. After you submit your registration, you will receive an e-mail from the IBM Cloud team with details about your account. In this e-mail, you will need to click the link provided to confirm your registration.
  4. Now you should be able to login to your new IBM Cloud account ;-)
  5. Create a Discord account, as well your own Discord server (both are free of charge).

Activate Webhooks in Discord

We want to enable webhooks in our Discord server's settings, which will be used by Watson Assistant to send messages.

  1. Go to your server's settings
  2. Navigate to Integrations
  3. Create a new Webhook, and copy its URL

Note: Discord does not require any additional Authentification, which means that anyone who has the URL can use the Webhook. Ensure that only you, and people you trust have access to it.

Set up your cloud function

Create cloud function

We want to set up a cloud function, which Watson Assistant will be able to access. To do that, you need to go to your IBM Cloud Dashboard, and select Functions.

Alternatively you can click here to access the IBM Cloud functions.

Now you can create a new Action. Give it a sensible name, select python as your runtime, and click create.

Create Cloud Function Action

Paste in the code that can be found here, change the value of discordurl to your URL, and save your changes.

Test cloud function

If you want to test it, you can click on Invoke with parameter, paste in the input below, click apply, and press Invoke.

{
    "content" : "this is a test message sent by your cloud function"
}

If the message was sent successfully, the result should look like this.

Enable as Web Action

Now we need to create an endpoint, which will be used by Watson Assistant to invoce your function.

On the left side, click Endpoints and check the box called Enable as Web Action. Press save, and copy the URL.

Set up your Assistant

Set up Watson Assistant

Go back to your Dashboard, and type Watson Assistant into the search bar. If you already have a Watson Assistant service you can use it, otherwise you can create a free lite version either by clicking Watson Assistant under the Catalog Results Section or following this link.

Create your own Skill

Afterwards launch your Watson Assistant Service, and look for Skills on the left.

If you can't find it, click on the profile icon in the upper right corner, and click Switch to classic experience.

Create a new skill, select Dialog skill and click next. Select Upload skill and provide the skill-Connect-to-Discord.json file.

Enable Webhooks

Before you can test your assistant, you need to provide the cloud funtion's URL.

Click on Options->Webhooks, paste in the URL, and ADD A .json AT THE END.

We could use Discord's webhook link direcly, without adding a .json, and it would send the message as well. However, Discord doesn't return anything (that Watson Assistant can understand), which would prevent us from informing the user of our assistant, that the message was sent correctly.

Test your assistant

Now you can click on the Try it button and test whether the assistant is working correctly.


Supervised & unsupervised machine-learning techniques are applied to the database of weighted P4s which admit Calabi-Yau hypersurfaces.

Weighted Projective Spaces ML Description: The database of 5-vectors describing 4d weighted projective spaces which admit Calabi-Yau hypersurfaces are

Ed Hirst 3 Sep 08, 2022
Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection

Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection This material is supplementray code for paper accepted in ICDAR 2021 We h

NCSOFT 30 Dec 21, 2022
Quadruped-command-tracking-controller - Quadruped command tracking controller (flat terrain)

Quadruped command tracking controller (flat terrain) Prepare Install RAISIM link

Yunho Kim 4 Oct 20, 2022
TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)

TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022) Ziang Cao and Ziyuan Huang and Liang Pan and Shiwei Zhang and Ziwei Liu and Changhong Fu In

Intelligent Vision for Robotics in Complex Environment 100 Dec 19, 2022
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

Location-Aware Generative Adversarial Networks (LAGAN) for Physics Synthesis This repository contains all the code used in L. de Oliveira (@lukedeo),

Deep Learning for HEP 57 Oct 22, 2022
Code for Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Under construction. Description Code for Phase diagram of S

Rodrigo Veiga 3 Nov 24, 2022
Real-Time High-Resolution Background Matting

Real-Time High-Resolution Background Matting Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires captur

Peter Lin 6.1k Jan 03, 2023
Tool for installing and updating MiSTer cores and other files

MiSTer Downloader This tool installs and updates all the cores and other extra files for your MiSTer. It also updates the menu core, the MiSTer firmwa

72 Dec 24, 2022
Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides Project | This repo is the officia

CVSM Group - email: <a href=[email protected]"> 33 Dec 28, 2022
Real-time 3D multi-person detection made easy with OpenPose and the ZED

OpenPose ZED This sample show how to simply use the ZED with OpenPose, the deep learning framework that detects the skeleton from a single 2D image. T

blanktec 5 Nov 06, 2020
Rendering color and depth images for ShapeNet models.

Color & Depth Renderer for ShapeNet This library includes the tools for rendering multi-view color and depth images of ShapeNet models. Physically bas

Yinyu Nie 41 Dec 19, 2022
Code for the paper "There is no Double-Descent in Random Forests"

Code for the paper "There is no Double-Descent in Random Forests" This repository contains the code to run the experiments for our paper called "There

2 Jan 14, 2022
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

B-Pref Official codebase for B-Pref: Benchmarking Preference-BasedReinforcement Learning contains scripts to reproduce experiments. Install conda env

48 Dec 20, 2022
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings This is the repository for t

RegLab 39 Jan 07, 2023
Official implementation for the paper: Multi-label Classification with Partial Annotations using Class-aware Selective Loss

Multi-label Classification with Partial Annotations using Class-aware Selective Loss Paper | Pretrained models Official PyTorch Implementation Emanuel

99 Dec 27, 2022
PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentation.

Shape-aware Convolutional Layer (ShapeConv) PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentatio

Hanchao Leng 82 Dec 29, 2022
A novel pipeline framework for multi-hop complex KGQA task. About the paper title: Improving Multi-hop Embedded Knowledge Graph Question Answering by Introducing Relational Chain Reasoning

Rce-KGQA A novel pipeline framework for multi-hop complex KGQA task. This framework mainly contains two modules, answering_filtering_module and relati

金伟强 -上海大学人工智能小渣渣~ 16 Nov 18, 2022
Code for Massive-scale Decoding for Text Generation using Lattices

Massive-scale Decoding for Text Generation using Lattices Jiacheng Xu, Greg Durrett TL;DR: a new search algorithm to construct lattices encoding many

Jiacheng Xu 37 Dec 18, 2022
Auxiliary Raw Net (ARawNet) is a ASVSpoof detection model taking both raw waveform and handcrafted features as inputs, to balance the trade-off between performance and model complexity.

Overview This repository is an implementation of the Auxiliary Raw Net (ARawNet), which is ASVSpoof detection system taking both raw waveform and hand

6 Jul 08, 2022
Pytorch implementation for "Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter".

Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter This is a pytorch-based implementation for paper Implicit Feature Alignme

wangtianwei 61 Nov 12, 2022