Code

app.py

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+import streamlit as st
+import pickle
+import pandas as pd
+
+
+st.image("Netflix.png")
+
+movies_list = pickle.load(open("content_dict.pkl",'br'))
+movies = pd.DataFrame(movies_list)
+
+def recommend(movie):
+    index = movies[movies['title'] == movie].index[0]
+    distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
+    recommended_movie_names = []
+    for i in distances[1:6]:
+        recommended_movie_names.append(movies.iloc[i[0]].title)
+
+    return recommended_movie_names
+
+# Displaying title
+st.title(" Movie Recommender System ")
+
+similarity = pickle.load(open('cosine_similarity.pkl','rb'))
+
+movie_list = movies['title'].values
+selected_movie = st.selectbox(
+    "Type or select a movie from the dropdown",
+    movie_list
+)
+
+# Setting a button
+if st.button('Show Recommendation'):
+    recommended_movie_names = recommend(selected_movie)
+    st.balloons()
+    for j in recommended_movie_names:
+        st.write(j)