Making a Frontend for our Researcher with Streamlit

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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Subjects

Programming