![]() ![]() The advantage of this design, is that all events that were not processed up to that point will get processed when the connection to Telegram or SAS will get reestablished. This way, if one of the sides gets disconnected the bot will still keep polling on the other side and could be restarted. One will poll all events that get sent from Telegram and the other would be all the events that gets polled from the SAS side. Chatbots enable humans to interact with machines using natural language processing (NLP) and instantly get a human-like, intelligent response tailored to the user. In the script that uses the connector we would recommend to have at least two threads. If the auth token of a previous session is still valid, it will use that one. ![]() The brief was to design a sleek looking / easy to use chatbot which is. Once given it will get the authorization token from SAS and the connection is established. A chatbot and a risk calculator product design for people who have heart problems. Once the instance is created it will ask you to give it a OAuth code and provide a link to get it. If the revision ID is left empty it will automatically use the latest published version of the bot. You only have to import it and then make an instance with the following variables: SAS environment URL, Bot ID, and Bot revision ID. We made the library in an Object Oriented style. Most platforms have an API that works in Python, making this library useful for all of these platforms. This is because Python is a very generic programming language that is being used and supported by a lot of applications. The main advantage of this library is that this solution is easily transferable to another platform next to Telegram, e.g. We created a Python library which can be used to connect to SAS Conversation Designer. Since the SAS Conversation Designer is quite new there is not a lot of documentation on how to do that, except the previous mentioned sample, but its use case is limited to the web app. This is why we chose to use Telegram as our bots interface.įirst of all to make the Telegram bot work, we need a connector to the SAS environment. SAS provided a sample on how you could connect the SAS Conversation Designer to a web app, but this would require someone to load in a webpage which would be bigger in size than only the text from the messages themself. With advances in conversational AI, chatbots and digital assistants have become mainstream and are being applied across many. The virtual assistant is built with SAS Viya. In our project we want to use this product as an interface for camp managers, to provide SAS analytics in places where bandwidth is restricted to 2G. SAS, the global analytics leader, has partnered with the Identity Theft Resource Center (ITRC) to develop a customised virtual assistant to help fraud victims. The first version of the SAS Conversation Designer, released end of 2020, has a main focus to automate support questions.
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