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Text box

As explained in Build Python Web Apps with Streamlit

A text input is a user-interface control that accepts a single line of textual input.

A text box is a user-interface control for entering one line of text. In Streamlit, st.text_input displays the control and returns the entered value as a string. section 3.6.1

Use a text box when an app needs a value from the user:

  • Collect a value for processing, such as a number to convert. section 3.6.1
  • Collect a password before checking it against a list of rules. section 2.5.2
  • Guide entry with placeholder text, a tooltip, or password-entry behavior. section 3.6.1

A unit-converter input

Create a labeled input with an initial string value: input_num = st.text_input("Value to convert", value="0"). Because the control returns a string, cast it to a float when the next operation requires a number: input_num = float(st.text_input("Value to convert", value="0")). section 3.6.1

A password-checking flow

A password checker reads the value from a text input, waits for the user to click a button, checks the value against rules, and displays each result as passed or failed. section 2.5.2

Figure 2.5 The flow of logic in our password checker app

Trace how entered text moves through input, rule checking, result generation, and visible status boxes. section 2.5.2

How Build Python Web Apps with Streamlit covers it

How deep it goes
Explains rendering, returned strings, numeric casting, and customization, but stops short of frontend implementation internals.
Examples
Uses a unit-converter value field and a password-checker input followed by rule results.
What it assumes
Assumes basic Python and Streamlit usage while teaching the control's single-line behavior and string result.
What you can do after
Build it from scratch with st.text_input, then convert its string result when later processing requires a number.
How it connects
Connects text input with Streamlit, buttons, password validation, numeric conversion, and user-interface controls.

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This explainer was generated by Manning's knowledge graph from the text of Build Python Web Apps with Streamlit. The section links point to the parts of the book it draws on.