# File 1: app.py
import streamlit as st
import pandas as pd

# Sample course data
courses = [
    {
        "title": "Python for Data Science",
        "description": "Learn Python programming fundamentals for data science applications",
        "level": "Beginner"
    },
    {
        "title": "Machine Learning Basics",
        "description": "Understanding machine learning concepts and algorithms",
        "level": "Intermediate"
    },
]

# Page config
st.set_page_config(
    page_title="Course Search",
    page_icon="🔍"
)

# Create the Streamlit app
st.title("🎓 Course Search")
st.write("Search through available courses")

# Create a simple search box
search_query = st.text_input("Enter keywords to search:", "")

# Simple search function
if search_query:
    found_courses = False
    # Convert search query to lowercase for case-insensitive search
    search_query = search_query.lower()
    
    # Search through courses
    for course in courses:
        # Check if search query exists in title or description
        if (search_query in course["title"].lower() or 
            search_query in course["description"].lower()):
            
            # Display matching course in a box
            st.success("Match found!")
            with st.container():
                st.markdown(f"### {course['title']}")
                st.write(f"📝 Description: {course['description']}")
                st.write(f"📊 Level: {course['level']}")
            st.divider()
            found_courses = True
    
    if not found_courses:
        st.warning("No courses found matching your search.")

# File 2: requirements.txt
#streamlit==1.24.0
#pandas==2.0.3