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app.py

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+import streamlit as st
+from streamlit_extras.switch_page_button import switch_page
+from streamlit_extras.let_it_rain import rain
+from PIL import Image
+
+  
+  
+st.set_page_config(page_title="CRS",page_icon = "🫰")
+
+
+
+
+
+st.markdown("<h1 style='text-align: Left ; color: white;'>  COURSE RECOMMENDATION SYSTEM </h1>", unsafe_allow_html=True)
+st.markdown("<h4 style='text-align: center ; color: violet;'> Discover a plethora of courses at your fingertips!</h4>", unsafe_allow_html=True)
+
+  
+#To load image
+img = Image.open(r'C:\Users\Yuva\.vscode\Streamlit dev\images.png')
+image_bytes = img.resize((700,400))
+
+
+co_1, co_2, co_3 = st.columns(3)
+with co_1:
+    st.image(image_bytes, use_column_width=False)
+
+
+  
+  
+# Raining Emoji
+  
+rain(
+    emoji="🕮",
+    font_size=50,  # the size of emoji
+    falling_speed=3,  # speed of raining
+    animation_length="infinite",  # for how much time the animation will happen
+)
+
+
+#sc = st.sidebar.columns(2)
+#sc[0].image(r'C:\Users\Yuva\.vscode\Streamlit dev\images.png', width=150)
+#sc[1].write("  ")
+
+
+
+st.subheader(":blue[Discover your perfect course - click here to explore! :point_down:]")
+want_to_contribute = st.button("click here")
+if want_to_contribute:
+    switch_page("recommend")

course_list.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cd0eda18efee611fec1c91f6e47b792c5c57ef885f82bdc67c0bd556989a76ff
+size 7164481

courses.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e3535b7b79e169b19e051f54bd7384bdec4ad4366d95e6b03b4cb2f477bb4616
+size 7090898

pages/recommend.py

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+
+import pickle
+import streamlit as st
+from streamlit_extras.let_it_rain import rain
+
+import numpy as np
+import pandas as pd
+
+
+
+# <==== Code starts here ====>
+
+courses_list = pickle.load(open('courses.pkl','rb'))
+similarity = pickle.load(open('similarity.pkl','rb'))
+
+rain(
+    emoji="🕮",
+    font_size=30,  # the size of emoji
+    falling_speed=6,  # speed of raining
+    animation_length= 2,  # for how much time the animation will happen
+)
+
+def recommend(course):
+    index = courses_list[courses_list['course_name'] == course].index[0]
+    dist1 = (similarity[index])
+    distances = sorted(list(enumerate(dist1)), reverse=True, key=lambda x: x[1])
+    dist = pd.DataFrame(dist1)
+    
+    for i in distances[1:5]:
+        st.write("Name of the Course :memo: :  ", courses_list.iloc[i[0]].course_name.upper())
+        st.write("Course URL	:link: :  ", courses_list.iloc[i[0]].course_url)
+        st.write("Platform :medal: :  ", courses_list.iloc[i[0]].Platform.upper())
+        #st.write("Score  :large_blue_diamond: :  ", dist.iloc[i[0]].to_string(index = False))
+        st.write ("Reason for Recommendation (SKILLS YOU MAY GET) : ")
+        st.write(courses_list.iloc[i[0]].Skills)  
+        st.write("-"* 90)
+        
+
+
+def main():
+    
+    # To write title
+
+    st.markdown("<h5 style = 'text-align: Left; color: white;'>Hello! I'm here to help you find the perfect course over 5000 courses from dataset. Let's get Started !🙂</h5>",unsafe_allow_html=True)
+    st.markdown("<h5 style='text-align: Left ; color: blue;'> What field or topic are you interested in? </h5>", unsafe_allow_html=True)
+    
+    course_list = courses_list['course_name'].values
+    selected_course = st.selectbox("Select here :point_down:",
+      
+         courses_list
+    )
+
+    if st.button(' Recommend '):
+        st.success("Recommending courses similar to " + selected_course)
+        recommend(selected_course)
+
+
+if __name__ == "__main__":
+    main()
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

requirements.txt

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+streamlit_extras

similarity.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:289d215dc8e9c437360bcbbebaf2484e589cecc91f95044f12ce5d24fd3b9aba
+size 141658275