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Choosing a framework for building chat UIs for AI applications requires many considerations, including features, scalability, integration with other AI technologies and platforms, and deployment options. This article explored real-world examples of building chat UIs for AI apps using industry-leading platforms like Gradio, Streamlit, and Chainlit. Hopefully, you enjoyed the different use cases and capabilities unlocked from each AI UI building framework. Stream offers an alternative in-app AI assistant integration approach using six platforms' pre-built AI chat UI components. To begin, check out how to create an AI assistant and start coding AI apps with Stream for free.
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Judoscale
Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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mesop
Discontinued Rapidly build AI apps in Python [Moved to: https://github.com/mesop-dev/mesop] (by google)
Messop: Similar to Chainlit and Streamlit, Messop allows developers to rapidly create AI apps in Python with tens of UI components. Although it is not as widely used and feature-rich as the UI building frameworks above, its GitHub repo indicates it is used by an engineering team at Google.
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In the above sample code, the stream.ui.launch() method launches a built-in Gradio UI for quickly testing and sharing your real-time stream. After running the Python file, you should see this information in the Terminal Running on local URL: http://127.0.0.1:7860. Launch http://127.0.0.1:7860 in your browser to see a Gradio voice interface similar to the image above. To initiate real-time communication, you should grant access to your webcam. Enjoy 😊 your first real-time voice UI with Gradio.
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FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap.
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Reflex: Build your AI app's frontend and backend in Python. Check out the Reflex website’s implementation examples for AI image generation and chatbots.
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ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Local LLM tools like LMStudio or Ollama are excellent for offline running a model like DeepSeek R1 through an app interface and the command line. However, in most cases, you may prefer having a UI you built to interact with LLMs locally. In this circumstance, you can create a Streamlit UI and connect it with a GGUF or any Ollama-supported model.
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FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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Bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
FastHTML allows developers to build modern web applications entirely in Python without touching JavaScript or React. As its name implies, it is quicker to begin with FastHTML. However, it does not have pre-built UI components and styling. Getting the best out of this framework requires the knowledge of HTMX and UI styling using CSS libraries like Tailwind and Bootstrap.
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Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link.
