The 3 Best Python Frameworks To Build UIs for AI Apps

Python provides a variety of packages and frameworks for creating interactive AI app interfaces, particularly chat UIs, which facilitate interactions with AI assistants and large language models. These interfaces allow for multimodal input and output, making them versatile across numerous platforms, including iOS, Android, Flutter, React, and NodeJS. Developers can use tools like Gradio, Streamlit, and Chainlit to build production-ready AI chat applications with minimal effort, benefiting from built-in components that support text, audio, and image interactions. Gradio, for instance, offers a low-code solution for developing AI UIs and integrates well with platforms such as LangChain and LlamaIndex, while Streamlit is known for its ease of use and instant deployment capabilities. Chainlit focuses on AI and LLM apps with features like monitoring and authentication, providing extensive integration options. These frameworks offer diverse features such as real-time communication, feedback mechanisms, and performance monitoring, enabling developers to create UIs tailored to specific AI use cases ranging from natural language processing to computer vision applications.