Streamlit Exercise

What you'll learn

• How to set up Python and VS Code for Streamlit development
• Create interactive web applications using Streamlit
• Implement text processing techniques with Python
• Build and deploy your first Streamlit app

Introduction

This exercise will guide you through various text processing techniques using Python and Streamlit. You'll practice text preprocessing and feature extraction methods while building an interactive web application.

Total time required: Approximately 2-3 hours

:computer: Exercise Materials

Access the exercise files and resources here: :file_folder: Drive Link

Python Setup (20-30 minutes)

To run Streamlit applications on your computer, you need to install Python first. Follow these step-by-step instructions:

Step One: Download Python

1. Visit the Python official website
2. Download Python 3.9 or later (recommended: Python 3.9+)
3. Wait for the installer to download completely

:bulb: Python interpreter is a software that reads Python source code and performs its instructions. You can refer to the official Python documentation

0

for more information.

Step 2: Install Python

1. Open the Python installer
2. Important: Check the box 'Add Python 3.9 to PATH'

3. Click "Install Now"

4. Wait for installation to complete
5. Click "Close" when the setup wizard finishes

:warning: Warning If you forget to check "Add Python to PATH", you'll need to add it manually or reinstall Python.

Step 3: Verify Installation

1. Open VS Code
2. Press Ctrl + ~ (or Cmd + ~ on Mac) to open the terminal
3. Type the following command and press Enter:
   bash

   py --version
   

   or on Mac/Linux:
   bash

   python --version
   

4. If you see the Python version displayed, installation was successful!

tip For platform-specific instructions:

• Windows users: Use py command
• Mac/Linux users: Use python or python3 command

Refer to Python Documentation

for more information.

VS Code Setup (15-20 minutes)

:emoji: Video Tutorial

Watch this comprehensive guide for setting up VS Code with Python: VS Code and Python Interpreter Setup

Quick Setup Steps:

1. Install VS Code from code.visualstudio.com
2. Install the Python extension in VS Code
3. Select Python interpreter (as shown in the video)
4. Create a new Python file to test your setup

:computer: Streamlit Exercise (1.5-2 hours)

Installing Streamlit

Before starting the exercise, install Streamlit:

1. Open your terminal in VS Code
2. Run the following command:
   bash

   pip install streamlit
   

3. Verify installation:
   bash

   streamlit --version
   

:bulb: If you encounter permission errors, try:

bash

pip install --user streamlit

:emoji: Exercise Video Tutorial

Follow along with this comprehensive guide: Streamlit Exercise Guide

Exercise Tasks:

1. Create your first Streamlit app (30 minutes)

   • Set up a basic Streamlit application
   • Add interactive widgets
   • Display text and data

2. Implement text processing features (45 minutes)

   • Add text input functionality
   • Process and analyze text data
   • Display results interactively

3. Enhance your app (30 minutes)

   • Add visualizations
   • Improve user interface
   • Test all features

Troubleshooting Common Issues

Python not found error

• Ensure Python is added to PATH
• Restart VS Code after Python installation
• Try using python3 instead of python

Streamlit installation fails

• Update pip: python -m pip install --upgrade pip
• Use virtual environment (recommended)
• Check internet connection

Streamlit app won't run

• Check for syntax errors in your code
• Ensure you're in the correct directory
• Use command: streamlit run your_app.py

:bulb: Tip Join the discussion forum if you need help from classmates or instructors!

:emoji:️ Exercise Submission

:warning: Warning Important: Make sure to submit your completed Streamlit application before the deadline!

Submission Requirements:

1. Your complete Python code file (.py)
2. Screenshot of your running Streamlit app
3. Brief description of features implemented

:emoji: Submit your work here:

Exercise Submission Form

:information_source: Deadline reminder: Check your course calendar for the submission deadline. Late submissions may receive reduced credit.