How to Build a Sentiment Analysis App in Hugging Face Spaces with Interchangeable Models and AI Model Feature Flags

In this tutorial, we learn how to build a sentiment analysis app using Hugging Face Spaces and LaunchDarkly AI model feature flags. We set up the environment with Python, Streamlit, Transformers, PyTorch, and LDClient libraries. We create an interactive web application within the larger Hugging Face Space for this tutorial. The application uses a sentiment analysis model to determine the sentiment expressed in a text as positive, negative, or neutral. LaunchDarkly's AI Model Flag feature allows us to customize which model to use and its parameters dynamically. This setup enables users to switch models on the fly and experiment with different configurations effortlessly.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.