feat(beginner): Add interactive Streamlit UI to phishing-spam-detector #7

🎯 Goal

Build a clean, user-friendly interactive web interface for the phishing-spam-detector project using Streamlit.

📌 Background

We recently added the Phishing and Spam Message Classifier starter script. Currently, students run it via CLI in train_and_predict.py. Adding an interactive Streamlit UI will allow students to demonstrate the project easily in presentations, portfolios, and hackathons!

📋 Scope and Requirements

1. Target File: Create beginner/phishing-spam-detector/app.py.
2. UI Elements:
   • App title, banner, and subtitle: "SMS and Email Spam / Phishing Detector".
   • Multiline st.text_area for pasting any message or email text.
   • Quick sample buttons (e.g. "Test Scam Alert", "Test College Club Message").
   • "Analyze Message" button triggering classification.
   • Clear visual feedback with st.success (Ham) or st.error / st.warning (Phishing).
   • Display probability confidence score using st.progress or st.metric.
3. Dependencies: Add streamlit to beginner/phishing-spam-detector/requirements.txt.
4. Documentation: Update beginner/phishing-spam-detector/README.md with instructions on how to run streamlit run app.py.

💡 Tips for Students

• Check how importing load_dataset and preprocess_text can be cached with @st.cache_resource to avoid retraining on every keystroke.
• Keep the UI responsive and clean.

🏷️ Good First Issue

Open to all students! Please comment below if you would like to be assigned.