Learn-Streamlit: A Python repository from therafiali

Installation:
- First, you need to install Streamlit. You can do this by running the following command in your terminal or command prompt:
```
pip install streamlit
```
- This command installs Streamlit, which is a Python library for creating interactive web apps from data scripts.
Creating a Streamlit App:
- Next, create a Python file (let's call it hello.py).
- Inside hello.py, you'll write your Streamlit app.
Streamlit Basics:
- The code you provided is an example of a simple Streamlit app.
- Let's go through each part:
```
import streamlit as st

st.title("Hello World")
```
- st.title("Hello World"): This line sets the title of your app to "Hello World". When you run your Streamlit app, you'll see this title displayed.
```
st.write("This is Rafi Ali")
```
- st.write("This is Rafi Ali"): This line displays the text "This is Rafi Ali" on your app. You can use st.write() to show any text or data.
```
st.markdown("# Markdown content")
```
- st.markdown("# Markdown content"): This line renders a markdown heading (level 1) with the text "Markdown content". You can use st.markdown() to display formatted text using Markdown syntax.
```
st.code("""if post == "good":
    print("Hit Like")""")
```
- st.code("""if post == "good": print("Hit Like")"""): This line displays code in a code block. The code snippet checks if the variable post is equal to "good" and prints "Hit Like" if the condition is true.
- Note that post is not defined in the provided code snippet, so you'd need to define it elsewhere in your app.
Running the App:
- After creating hello.py, run it using the following command:
```
streamlit run hello.py
```
- This command starts a local web server and opens your app in a web browser at http://localhost:8501/.
Interacting with Your App:
- When you visit the local URL, you'll see your Streamlit app with the title, text, markdown, and code snippet displayed.
- You can modify the code in hello.py and see the changes reflected in real-time as you save the file.

Streamlit makes it easy to create interactive web apps directly from your Python code, without needing to write HTML, CSS, or JavaScript. It's a great tool for data science and machine learning projects! 😊🚀

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therafiali/Learn-Streamlit