Upload 3 files

app.py

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+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)

cosine_scores.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f49c97656d3c2df641600b5560c9c6059dbb388c528b35a5d1d2822df4736d28
+size 258438192

course_df.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a547aaaf1a76a586376e442fa355afc0a3d86ad44b32b3f85e0b4b37d7e1104a
+size 4718547