Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+import numpy as np
+import pandas as pd
+from sklearn.preprocessing import StandardScaler
+from sklearn.metrics.pairwise import cosine_similarity
+
+movies_df = pd.read_csv("movies.csv")
+
+genre_df = movies_df['genres'].str.get_dummies("|")
+
+st.write(genre_df)
+
+similarity_matrix = cosine_similarity(genre_df)
+
+random_movies = movies_df['title'].sample(5)
+
+movie = st.text_input("Search for a movie")
+
+if not movie:
+  movie0 = st.button(random_movies[0])
+  movie1 = st.button(random_movies[1])
+  movie2 = st.button(random_movies[2])
+  movie3 = st.button(random_movies[3])
+  movie4 = st.button(random_movies[4])