Upload 5 files

app.py

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+import pickle
+import streamlit as st
+
+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
+
+
+page_bg_img = '''
+<style>
+
+      .stApp {
+  background-image: url("https://payload.cargocollective.com/1/11/367710/13568488/MOVIECLASSICSerikweb_2500_800.jpg");
+  background-size: cover;
+}
+</style>
+'''
+
+st.markdown(page_bg_img, unsafe_allow_html=True)
+
+st.markdown('# Movie Recommendation System')
+movies = pickle.load(open('movie_list.pkl', 'rb'))
+similarity = pickle.load(open('similarity.pkl', 'rb'))
+
+movie_list = movies['Title'].values
+selected_movie = st.selectbox(
+    "Type or select a movie from the dropdown",
+    movie_list
+)
+
+if st.button('Show Recommendation'):
+    recommended_movie_names = recommend(selected_movie)
+    for i in recommended_movie_names:
+        st.subheader(i)

movie_list.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:47c62c92abe27c1d25c023f63866dd64c133ae136af74cc02ff38398eb92620b
+size 263858

requirements.txt

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+Jinja2==2.11.3
+jinja2-time==0.2.0
+joblib==1.0.1
+matplotlib-inline==0.1.2
+numpy==1.19.1
+numpydoc==1.1.0
+pandas==1.1.3
+pickleshare==0.7.5
+Pillow==8.3.1
+pip==21.0.1
+ptyprocess==0.7.0
+pyaml==19.4.1
+PyYAML==5.4.1
+requests==2.25.1
+requests-aws4auth==0.9
+scikit-learn==0.24.2
+scipy==1.7.1
+streamlit==0.81.1
+urllib3==1.26.6
+xlrd==1.2.0
+yapf==0.31.0
+zipp==3.5.0

similarity.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:732a6c1ace7f54b0f285ecd222ffa74d4072838e57be6237514cd7045d1b2ebe
+size 8000160