This presentation provides a comprehensive introduction to Streamlit, an open-source Python library used to quickly build interactive web applications for data science and machine learning. It covers the fundamental structure of a basic Streamlit app, highlighting key functions like st.title(), st.write(), and various interactive widgets such as buttons, sliders, and text inputs. The slides explain how Streamlit handles application flow, interactivity, and layout management through containers, columns, and sidebars. Best practices for developing scalable apps, including code modularization, state management using st.session_state, and caching strategies are also discussed. The presentation concludes with an overview of deployment options, showcasing how easily Streamlit apps can be shared with users via cloud platforms or the Streamlit Community Cloud. Overall, this PPT is designed to help beginners and intermediate users understand Streamlit’s capabilities and start building their own apps quickly and efficiently.

1. STREAMLIT APP
STRUCTURE & BASICS
QUICK GUIDETO BUILDING INTERACTIVEWEB APPS
www.accentfuture.com

2. WHAT IS STREAMLIT?
• Open-source Python library
• Quickly create interactive web apps for data science and machine learning
• Focused on simplicity and rapid development

3. KEY FEATURES OF STREAMLIT
• Easy to use: pure Python
• No front-end experience required
• Widgets for interactivity (buttons, sliders, inputs)
• Hot-reloading on save
• Deploy easily to the cloud

4. BASIC STREAMLIT APP STRUCTURE
-python
import streamlit as st
st.title("My First Streamlit App")
st.write("Hello, Streamlit!")
• Always start by importing Streamlit
• Use Streamlit functions to create UI elements

5. COMMON STREAMLIT ELEMENTS
- `st.title()`
- `st.header()`
- `st.subheader()`
- `st.text()` / `st.markdown()`
- `st.write()`
- `st.dataframe()`
- `st.metric()`

6. ADDING INTERACTIVITY
- Widgets examples:
- `st.button("Click Me")`
- `st.slider("Select a number", 0, 100)`
- `st.text_input("Enter your name")`
Widgets return values you can use

7. STREAMLIT LAYOUT OPTIONS
- Containers: `st.container()`
- Columns: `st.columns()`
- Expanders: `st.expander()`
- Sidebar: `st.sidebar`

8. EXAMPLE - SIMPLE INTERACTIVE APP
-python
name = st.text_input("What's your name?")
if st.button("Greet"): st.write(f"Hello, {name}!")
- Live feedback from user inputs

9. HOW STREAMLIT RUNS
• Script is re-run from top to bottom on any interaction
• State is handled internally
• Use `st.session_state` for complex apps

10. BEST PRACTICES
• Keep code simple and modular
• Use functions to organize code
• Minimize use of global variables
• Use caching with `@st.cache_data` or `@st.cache_resource`

11. DEPLOYING STREAMLIT APPS
• Streamlit Community Cloud
• AWS, GCP,Azure (via containers orVMs)
• Share apps easily with a public link

12. SUMMARY
• Streamlit = Easy, Fast, Powerful
• Great for prototyping and sharing ML/data science projects
• Practice by building mini projects!

13. CONTACT DETAILS
👉 Enroll Now: www.accentfuture.com
📩 Email: contact@accentfuture.com
📞 Call: +91-9640001789
StreamlitTraining