Implementing GPT-4-V and LangChain on Azure for iOS App with Image Input and JSON Output

Question

I am developing an iOS application that utilizes the GPT-4-V API to solve questions based on image input. The app also uses LangChain for chat functionality and MathChat (agent) from the Autogen framework for enhanced performance in solving mathematical problems. In certain scenarios, MathChat leverages the Wolfram API, and the Mathpix API can also be used for questions without images that don't require GPT4-V. The application takes an image as input and produces a JSON data output.

I want to implement this entire process through Azure. The image input from my iOS application will be processed through Azure, and the result JSON data solution will be sent back to the application. My goal is to use the application as the frontend while Azure handles all the backend tasks. However, I am new to Azure and have limited experience working with LLMs, which leads to confusion regarding the specific Azure services I should utilize and the appropriate order of implementation. I am unsure if my desired approach is even feasible.

Can someone please provide guidance on this matter? Any assistance, resources, or documentation related to this topic would be greatly appreciated.

Answer 1

oguzhan güvenkaya Greetings & Welcome to Microsoft Q&A forum!

It's great to hear that you are interested in implementing your iOS application with Azure. Azure provides a wide range of services that can help you achieve your goal of using the application as the frontend while Azure handles all the backend tasks.

As Vahid mentioned, you can start with the article to learn more about the essential tools.

Also, check the below information and let me know if you have any specific queries.

Note that, this is just a high-level overview of how you can implement your solution using Azure.

You can use Azure Cognitive Services to implement GPT-4-V and LangChain. Azure Cognitive Services provides pre-built APIs that can be used to add intelligent features to your application without requiring any machine learning expertise. You can use the Computer Vision API to process the image input and extract relevant information from it.

You can then use the Text Analytics API to analyze the extracted information and generate a response using GPT-4-V. For chat functionality, you can use the Language Understanding (LUIS) API to implement LangChain.

Next, you can use Azure Functions to implement MathChat and integrate it with the Wolfram API and Mathpix API. Azure Functions is a serverless compute service that allows you to run code on-demand without having to manage any infrastructure. You can write your MathChat code in your preferred language and deploy it as a function on Azure. You can then use the Wolfram API and Mathpix API to solve mathematical problems and integrate the results with your application.

Finally, you can use Azure API Management to expose your APIs to your iOS application. Azure API Management provides a scalable and secure way to publish, manage, and consume APIs. You can use it to create an API gateway that sits between your application and the backend services. This will allow you to control access to your APIs, monitor usage, and apply policies such as rate limiting and authentication.

In terms of the order of implementation, you can start by implementing the GPT-4-V and LangChain APIs using Azure Cognitive Services. Once you have that working, you can move on to implementing MathChat using Azure Functions and integrating it with the Wolfram API and Mathpix API. Finally, you can use Azure API Management to expose your APIs to your iOS application.

I hope this helps.

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