Streamlit allows you to write Markdown within a Python file (
import streamlit as st st.title("Otto Group Product Classification Challenge 🛍") st.markdown("## 1. Problem Statement") st.markdown( "Given a [dataset](https://www.kaggle.com/c/otto-group-product-classification-challenge/overview) with **93 features**, create a **predictive model** which is able to **distinguish between the main product categories**." ) st.markdown("### 1.2 Evaluation") st.markdown( "The evaluation for the competition is **multi-class logarithm loss**. See [Kaggle: Evaluation.](https://www.kaggle.com/c/otto-group-product-classification-challenge/overview/evaluation)" )
I like that I can write Markdown, but the syntax is cumbersome. You have to wrap your text into
st.markdown() for every line.
Let’s sprinkle in some magic! ✨
Magic commands are a feature in Streamlit that allows you to write markdown and data to your app with very few keypresses.
Let’s see it in action:
# previous code # imports, etc. """ ## 3. Prepare Data Split the data into **training and test set**. """ np.random.seed(42) X = df.drop(["target"], axis=1) y = df.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) "Data shapes:" "X_train:", X_train.shape "X_test:", X_test.shape "y_train:", y_train.shape "y_test:", y_test.shape
Now you have a mixture between code and user-facing output in your Streamlit application: