Generate Streamlit Apps with AI
Turn a text prompt into a running Streamlit app. lab2 writes the Python, installs the dependencies, boots the app in a hosted runtime, and hands you a live URL — no local setup, no deployment.
The fastest way to build a Streamlit app
Streamlit is the go-to Python framework for data apps: dashboards, ML demos, and internal tools that live close to your data. An AI Streamlit app generator removes the remaining friction — instead of writing st.dataframe and st.sidebar calls yourself, you describe the app and lab2 generates clean, working Streamlit code and runs it immediately.
lab2 goes beyond code generation. It executes your Streamlit app in a hosted environment, watches for errors, and fixes them automatically. Ask for a new chart, an extra filter, or a layout change in plain language, and the assistant edits the code while the running preview updates alongside. You can always open the generated Python and edit it yourself.
Upload a CSV and get a data dashboard. Wire in an LLM and get a document Q&A tool. Every Streamlit app you generate is live at a shareable URL from the first run — publish it to keep it active, share it with your team, or fork apps from the community gallery as starting points.
Write the prompt
Plain language is the spec — say what the app should do, what data it takes, what it should show.
Watch it build
lab2 writes real, working code and boots your app in a hosted runtime while you watch.
Share the URL
Your app is live the moment it runs. Send the link, publish it to the gallery, keep iterating by prompt.
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