anycoder-5612ff21 / streamlit_app.py
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import streamlit as st
import requests
from bs4 import BeautifulSoup
# Page Configuration
st.set_page_config(
page_title="What is Streamlit?",
page_icon="πŸš€",
layout="wide",
initial_sidebar_state="expanded"
)
# Custom CSS for better styling
st.markdown("""
<style>
.stApp {
max-width: 1200px;
margin: 0 auto;
}
.definition-box {
background-color: #f0f2f6;
border-left: 5px solid #3898ec;
padding: 20px;
border-radius: 5px;
margin: 20px 0;
}
.code-block {
background-color: #282c34;
color: #abb2bf;
padding: 15px;
border-radius: 5px;
font-family: 'Courier New', monospace;
}
.tooltip {
position: relative;
display: inline-block;
border-bottom: 1px dotted black;
cursor: help;
}
</style>
""", unsafe_allow_html=True)
# Header Section
st.title("πŸš€ What is Streamlit?")
st.markdown("An interactive, web-based framework for building data science applications and machine learning prototypes.")
# Footer
st.markdown("---")
st.markdown("Built with anycoder | [Link](https://huggingface.co/spaces/akhaliq/anycoder)")
# Main Content
col1, col2 = st.columns([2, 1])
with col1:
st.header("πŸ“– Definition")
definition_box = st.container()
with definition_box:
st.markdown("""
<div class='definition-box'>
<p><strong>Streamlit</strong> is an open-source Python library that lets you create beautiful, custom web apps for machine learning and data science projects in minutes.</p>
<br>
<p>Instead of writing HTML, CSS, and JavaScript, you write simple Python scripts. Streamlit automatically handles the frontend, allowing you to focus on the logic and algorithms.</p>
</div>
""", unsafe_allow_html=True)
st.subheader("Key Features")
features = [
"βœ… <strong>Rapid Development:</strong> Build apps in minutes, not weeks.",
"βœ… <strong>No Frontend Knowledge Required:</strong> Pure Python.",
"βœ… <strong>Real-time Interactivity:</strong> Widgets, sliders, and plots update instantly.",
"βœ… <strong>Open Source:</strong> Free to use and contribute to.",
"βœ… <strong>Community Support:</strong> Large community of users and developers."
]
for feature in features:
st.markdown(feature, unsafe_allow_html=True)
with col2:
st.header("πŸ’» How it Works")
st.info("""
1. **Script Execution**: Streamlit reads your Python script from top to bottom.
2. **Widget Creation**: It automatically converts inputs into interactive UI elements.
3. **State Management**: It tracks the state of the app and re-runs the script when data changes.
4. **UI Rendering**: It generates HTML, CSS, and JavaScript for the browser.
""")
st.header("🎯 Use Cases")
use_cases = [
"Data Exploration",
"Machine Learning Prototypes",
"Dashboards & Reports",
"Explainable AI (XAI)",
"Automated Workflows"
]
for uc in use_cases:
st.markdown(f"- {uc}")
st.markdown("---")
# Interactive Demo Section
st.header("🎯 Try It Yourself: The Hello World of Streamlit")
st.markdown("""
Below is a simple code snippet that creates an interactive counter.
In Streamlit, you don't need to write complex HTML formsβ€”just use the `st.write()` and `st.button()` functions.
""")
code_example = """
import streamlit as st
st.title("Hello Streamlit!")
# Create a button
if st.button("Click Me"):
st.write("Button clicked! πŸŽ‰")
st.write(f"Count: {st.session_state.get('count', 0) + 1}")
"""
st.markdown("### Example Code")
st.code(code_example, language="python")
st.markdown("### Live Demo")
st.info("Copy the code above into a Python file and run it with `streamlit run filename.py` to see it in action!")
# Additional Resources
st.markdown("---")
st.header("πŸ“š Additional Resources")
st.markdown("""
### Official Documentation
- [Streamlit Docs](https://docs.streamlit.io/) - Comprehensive guides and API reference.
- [Streamlit Gallery](https://streamlit.io/gallery) - See what others have built.
### Getting Started
- **Installation**: `pip install streamlit`
- **Running an App**: `streamlit run your_app.py`
- **Command Line**: `streamlit run your_app.py --server.port 8080`
""")
# Footer
st.markdown("---")
st.markdown("Built with anycoder | [Link](https://huggingface.co/spaces/akhaliq/anycoder)")