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CodeSignal

Making a Frontend for our Researcher with Streamlit

via CodeSignal

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Overview

Learn Streamlit, a Python framework for building interactive web apps, by turning a CLI research assistant into a responsive interface. Master widgets, layout, and state management while connecting an AI research pipeline to a real-time front end. By the end, you'll have a fully interactive Python-powered research assistant.

Syllabus

  • Unit 1: What is Streamlit?
    • Setting Up Streamlit Dependencies
    • Create Your First Streamlit App
    • Quiz about Streamlit Basics
  • Unit 2: Creating a Basic Page with Streamlit
    • Building Your First Streamlit Page
    • Adding User Input to Your App
    • Adding a Research Depth Slider
    • Adding Interactive Buttons with Feedback
  • Unit 3: Adapting DeepResearcher for Streamlit Integration
    • Refactoring Input for Web Integration
    • Returning Results for Web Display
    • Removing Script Entry for Clean Imports
  • Unit 4: Connecting the Streamlit Frontend to DeepResearcher
    • Validating User Input for Research
    • Adding a Loading Spinner for Feedback
    • Formatting Research Results for Better Display
    • Running Your Complete DeepResearcher App

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