I prefer C#, but you can use Node.JS as well.
#Azure chatbot password
Paste the password which you just copied into the password field.Ĭhoose your preferred language. This should take you back to Azure where you left off your bot configuration. Copy this password and also save it somewhere with the App ID in case you need it again in the future.
This will show a popup with your new password. It will automatically generate an App ID.Ĭlick on the “Generate an app password to continue”. This will require you to login using a live account. You will be automatically directed to the portal when you click on the “Create Microsoft App ID and password” button.Ĭlick on the Create Microsoft App ID and password button.
#Azure chatbot registration
This is done in the Application Registration Portal. Once the bot is created you will be required to create a Microsoft App ID and Password. I usually pin my stuff to the dashboard just so that I can find it again easily. Select the region where you’d like your bot to reside. This needs to be a unique name and it will indicate with the green check mark on the right, if its accepted or not.Ĭreate a new resource group or use an existing one. This will take you to the Bot pre-creation screen which provides some useful links to documentation and pricing details.Īdd a name for the bot. In Azure Market place search for Bot Service and click on it. To create the bot, we need to login to Azure. This will publish the Q and A service and create an Endpoint. The number of Q and A deleted if there are any.Ĭlick publish again when you are satisfied that the summary is reflecting your intensions correctly. In this case, everything was just added, since its new. Number of Q and A in the current knowledge base. Once you are happy with the knowledge base. So, if you want someone to be able to ask: “Can you do a demonstration?” as well as “Do you do demos?”, you can add this here and similarly to above click on (4) Save and Retrain before doing any other action. Here you can provide alternative phrasings. If you changed anything here, you must click on (4) Save and Retrain before asking another question or it won’t be applied. Or you can select none of the above to leave it as is. If the bot did not pick the most appropriate answer, it lists other answers here which it might think is appropriate. Notice that all the links which were in the FAQ page remains active and clickable as before. As you can see, the first question I typed was “How good is your support?”, the actual question on the FAQ was, “Is your support any good?” so the bot was at least clever enough to understand that it is almost the same question. Go to the Test tab to test the knowledge base. To see changes you made to the knowledge base you should save and retrain it for the changes to take effect.īefore the knowledge base will become available for use by a real bot it should be published which I will discuss a little bit later. In this particular case, we only have 2 sources: The original source: Editorial and the FAQ website. This will be added in the Editorial section. You can click here to add another Q and A pair. In this case it extracted 18 Q and A pairs from the website. The QnA Maker will proceed to generate the knowledge base from the FAQs provided. You can do either or both or multiple websites or multiple files or you don’t have to do either and just type questions and answers from scratch. You don’t have to choose between a website FAQ or a file. Strangely it does not accept an Excel spreadsheet. You can upload a Word Document, text file or a. You don’t necessarily have to use an FAQ page. The URL of the FAQ page you would like to use To build the knowledge base we will make use of a very handy website called QnA Maker. Of course once you have a Q & A bot, nothing stops you from extending your bot to do other fabulous things such as identifying pictures with the Computer Vision API or determining Emotion with the Emotion APIīut for the purpose of this article we will build a plain and simple Q and A bot.
#Azure chatbot free
It displays some intelligence in the sense that it can match a free text question asked by a person to the questions it has in its knowledge base even if it’s not asked in exactly the same way. Ultimately, they are not very clever, they serve a specific purpose which is to provide programmed responses to predefined questions. The thing about Q & A bots are, that they are only as good as the questions and answers you provide them.
#Azure chatbot how to
In this article, I will show you how to do just that. As we enter an era of artificial intelligence and serverless computing, the tools to help us create perceived intelligent programs have become so advanced and intuitive that the effort in building a fully functional Q and A chat bot has become almost negligible.
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