In this tutorial, you'll learn how to build an interactive Streamlit Python-based UI that connects seamlessly with your vLLM-powered multimodal backend. You'll write a simple yet flexible frontend that lets users upload images, enter text prompts, and receive smart, vision-aware responses from the LLaVA model - served via vLLM's OpenAI-compatible interface. By the end, you'll have a clean multimodal chat interface that can be deployed locally or in the cloud - ready to power real-world apps in healthcare, education, document understanding, and beyond.
Gemini has been integrated across nearly all of Google's offerings -- and now it's time for Google Maps' AI facelift. On Wednesday, the company launched four upgrades to Google Maps that make it easier for users to get where they want to go, including new multimodal features, such as conversational natural language prompts to find a stop en route or Lens to identify new places at your destination.