Create app.py

app.py

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+# 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