I am working on a project to create an AI Chatbot. For that, I have built an NLP model. After making the bot, I deployed this bot on Azure. But It is not responding to anything after getting messages from users. Whereas, It was working and answering correctly on localhost. Does anyone know the exact way of deploying NLP models on Azure? Any proper documentation will be highly appreciated.
You can find the Github repo here- Link
This could be the required documentation you are looking for deploying the NLP on azure platform enter link description here
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i'm trying to deploy forge app ( from "view hub models" tutorials - viewer and dashboards that shows data from the model - takes models from bim360 hub)
what is the the most simple and cost worthy way of deployment? ( changing the URL from localhost3000 to actual server, and being able to share the web site )
in the old forge tutorials, they used microsoft azure, but the tutorial is no longer available..)
what are the steps requiered to deploy after creating an app in azure?
where can i find documentations or tutorials that well explains the proccess?
my project in github:
https://github.com/levir10/Forge-BI
thank you!
I am trying to integrate MS Dynamics Customer Insights (CI) with the model I have built within the new Azure Machine Learning (designer). Currently, I see there is only an integration between CI and Azure Machine Learning studio (classic).
I have deployed my model behind a web service (REST) within new Azure Machine Learning however it is not getting picked up in CI. However, I am able to score/generate predictions from the API using a Python script.
Please recommend a way to integrate these two MS services or suggest an architecture where CI can pick up the results.
Here are some hands-on labs which walk through the complete lifecycle for integrating Dynamics 365 Customer Insights with Azure data services. One scenario seen in Lab 5 is integrating the results of an Azure Machine Learning model back into Customer Insights. That walkthrough should give you one good way of accomplishing that task.
I totally agree that there's a real opportunity for a more seamless integration between Azure ML and D365 (including CI). For me, I'm thinking about how cool would it be to have an ML Dataset be automatically created with D365 data that could be used in the ML designer. After which the winning model could be registered, then made available inside D365 as a field that would score things in real time.
If you an "idea" on the forum below. My team and I will upvote it!
https://experience.dynamics.com/ideas/
I'm completely new to Azure ML, but I wanted to try out their automated ML UX. So I've followed the instructions to finally deploy my app (https://learn.microsoft.com/en-us/azure/machine-learning/service/how-to-create-portal-experiments#deploy-your-model). Now I've got my "Scoring URI", but I don't know how to use it? How can I test an input and get an output - can I do it with Postman?
the tutorial doesn't tell me what to do with this "Scoring URI", and so I am stuck
On the bottom of the page that you have linked above, there is a link:
Learn how to consume a web service.
This is exactly on that topic on how to use the deployed web service for scoring (sending an input and getting an output).
I am very new to bot framework and was wonder if anyone has integrated models generated by ML.Net with Microsoft Bot framework.
Any pointers to any type of documentation will be great.
Thanks
You may refer to the blog
INTEGRATE CUSTOM MACHINE LEARNING MODELS TO YOUR BOT USING ML.NET
https://www.arafattehsin.com/machine-learning-models-to-botframework/
other than that you can refer to .Net Conf 2019 session - How To Integrate ML NET with a Chat Bot
and here with the sample Source Code that I had Created.
I would suggest separating the ML.Net logic into a separate API or Azure function, and call that from your bot.
There are examples of how to create those APIs in the ML.Net samples repo here https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/end-to-end-apps
If you do really want to include the model and ML.net in your bot code, remember that the bot framework template is essentially a dotnet core API. So you could adapt the ML.net samples to run in your bot application.
I'm working on a bot (in testing) using the Azure Bot framework and the chat embed code. I had started from the LUIS framework template and embedded it into a section of my website several days ago. It was working as expected, but now all of the files/code for it (using the Azure editor) seem to be erased and the chat embed throws a 502.
This looks like it may be similar to this: How to recover a bot made with Azure Bot Service (Botframework)?
But that did not have an answer that I could work on for my end.
This is just a test bot (so I didn't use the continuous integration/source control anyhow), and mostly for learning at this point, but any help is greatly appreciated.
Thanks!
Please download the Azure Storage Explorer from here: http://storageexplorer.com/
Login, and navigate to your resource group's Storage Account. When you open it, you'll see File Shares. There you'll find the source for your bot.
The Bot Service and Bot Framework are currently in preview and being improved upon daily. We apologize for this inconvenience, and hope your future experiences with the Bot Framework are productive and enjoyable.