Streamlit is a popular Python library used for building interactive web applications for data science and machine learning projects. Here's a basic guide to getting started with Streamlit:
- Installation You can install Streamlit via pip:
bash Copy code pip install streamlit 2. Create a Python Script Create a new Python script (e.g., app.py) where you'll write your Streamlit application code.
- Writing Your First Streamlit App Here's a simple example of a Streamlit app that displays a title and a text input field:
python Copy code import streamlit as st
st.title('My First Streamlit App')
user_input = st.text_input("Enter some text")
st.write("You entered:", user_input) 4. Running Your Streamlit App To run your Streamlit app, open a terminal, navigate to the directory where your app.py file is located, and run the following command:
bash Copy code streamlit run app.py This will start a local server and open your default web browser with the URL http://localhost:8501, where you can view and interact with your Streamlit app.
- Adding More Features You can easily add more components to your Streamlit app, such as sliders, buttons, charts, and more. Here's an example of adding a slider:
python Copy code
number = st.slider("Pick a number", 0, 100, 50) st.write("You picked:", number) 6. Deployment Once you're satisfied with your Streamlit app, you can deploy it to various platforms, including Streamlit Sharing, Heroku, or AWS. Each platform has its own deployment process, so be sure to refer to their documentation for specific instructions.
Additional Resources Streamlit Documentation: https://docs.streamlit.io/ Streamlit Gallery: https://streamlit.io/gallery (for examples of what you can build with Streamlit) Streamlit Community: https://discuss.streamlit.io/ (for asking questions and sharing ideas)