How to Append word suggestions to the chat input area of bot using react js?

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Don't be that account: buying and selling reputation and bounties , Does this answer your question? How to add AutoComplete/AutoSuggestion in Microsoft botframework webchat using React.js – Kyle Delaney Feb 24 '20 at 21:16 ,How do I query an Azure database to find auto-complete suggestions based on user-entered text?

Web Chat uses Redux which has a Redux store that can use Redux middleware. Web chat has an action called WEB_CHAT/SET_SEND_BOX that can be used to respond to what the user types in the text input box like this:

const store = window.WebChat.createStore({},
   store => next => action => {
      if (action.type === 'WEB_CHAT/SET_SEND_BOX') {
         const user_entered_text = action.payload.text;

         // Use the text to query the Azure database and display suggestions
      }
      return next(action);
   }
);
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https://stackoverflow.com/questions/60370672/how-to-append-word-suggestions-to-the-chat-input-area-of-bot-using-react-js,Hi, we are using botframework webchat for developing a bot in which backend is nodejs and frontend is reactjs. We want something like when user types anything in the sendbox it would suggest with available suggestions. How can this be achieved pls help me .,https://stackoverflow.com/questions/60223610/how-to-add-autocomplete-autosuggestion-in-microsoft-botframework-webchat-using-r

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Hi, we are using botframework webchat for developing a bot in which backend is nodejs and frontend is reactjs. We want something like when user types anything in the sendbox it would suggest with available suggestions. How can this be achieved pls help me ., Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. ,https://stackoverflow.com/questions/60223610/how-to-add-autocomplete-autosuggestion-in-microsoft-botframework-webchat-using-r

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When that's done, go back to your App.js file and add this code:,Sweet. Now we have the chatbot rendered to the screen and we can write in the input field and submit it to send a message to the chat. But when we try that, nothing happens.,Now try typing "javascript" into the input field and sending the message. You should get the same list in response from the chatbot.

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First, the chatbot says "Hello. What is your name?", "Type the message..." accepts a user input that then appears in the chat conversation after the user clicks Enter.,React Simple Chatbot User step with validation,React Simple Chatbot with Custom Theme

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Streamyard for streaming,There are two ways in which our bot could access a channel:,Youtube Start streaming

.├──Twitch - Chatbot├── node_modules├──.env├── app.js└── package.json
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For this tutorial, I’ll be showing you how to use your image classifier with Custom Vision, to your Chat Bot with Microsoft Bot Framework using Node.js.,The next step would be getting the Prediction API endpoint of Custom Vision that we’ll later on use for our Chat Bot. (Note: This assumes that you’re already done creating and training your classifier in Custom Vision),You can now then test this again on your Bot Framework Emulator and try to send an image attachment to your bot to see how it will work altogether.

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Dialogflow is a scalable solution for building high-quality chatbot interfaces developed and maintained by Google.,Now, after building a chatbot model in Dialogflow, the platform itself provides a lot of solutions to integrate that with numerous platforms like Siri, Cortana, Alexa, Actions on Google, etc. We can even integrate that chatbot with our web or mobile or desktop applications.,Dialogflow is a cloud-based service by Google which gives us the ability to build highly scalable chatbot interfaces with ease. Dialogflow works on the core of NLP and makes it very easy for developers to build and deploy a scalable chatbot solution. We can build our chatbots by training them in our training phrases and customized responses. Dialogflow is a cloud service so you will have to pay some amount after a specific usage cap has been met.

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