The content provides a guide on creating a FastAPI application that integrates with Azure OpenAI. It outlines the steps to install the necessary packages like fastapi, uvicorn, and openai. The Python code structure for the FastAPI application is also provided, including setting up the Azure OpenAI client, defining endpoints for handling requests, and error handling. The process of running the FastAPI application and accessing the endpoints is explained. It emphasizes the importance of replacing placeholders like “Your_Endpoint,” “Your_Key,” and “gpt-4o” with actual Azure OpenAI details for dynamic question answering. The content concludes by mentioning a follow-up blog series on integrating this FastAPI setup into Unity. The overall goal is to enable users to seamlessly integrate Azure OpenAI into their FastAPI applications for interactive question answering.
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Source link: https://medium.com/analytics-vidhya/enhancing-unity-experiences-with-azure-openai-for-xr-bridging-virtual-worlds-with-intelligent-177ce3ebb470?source=rss——openai-5
Improving Unity Experiences with Azure OpenAI for XR #innovation
