app.py

import streamlit as st
import pickle
import pandas as pd

cosine_scores = pickle.load(open('cosine_scores.pkl','rb'))
coursedf = pd.DataFrame(pickle.load(open('course_df.pkl','rb')))

course_title_list = courses['title'].to_list()

def get_random_course():
    row=courses.sample(1)
    return row['ref'], row['title'] 

def recommend(coursename):
    pairs = {}

    for i in range(len(coursedf)):
        pairs[coursedf.iloc[i,1]]=cosine_scores[index][i]

    sorttemp = sorted(pairs.items(), key=lambda x:x[1], reverse=True)
    sorted_final = dict(sorttemp[1:31])

    return list(sorted_final.keys())


st.set_page_config(page_title='DiscoverCourses', page_icon=':book:')
st.title('DiscoverCourses')

selected_course = st.selectbox('Please select a course',course_title_list)