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fce58be
1
Parent(s):
34f004b
Upload 4 files
Browse files- app.py +81 -0
- movie_list.pkl +3 -0
- requirements.txt +2 -0
- similarity.pkl +3 -0
app.py
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import streamlit as st
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import pickle
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import requests
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footer="""<style>
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a:link , a:visited{
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color: black;
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background-color: transparent;
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}
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a:hover, a:active {
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color: red;
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background-color: transparent;
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}
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.footer {
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position: fixed;
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left: 0;
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bottom: 0;
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width: 100%;
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background-color: white;
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color: black;
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text-align: center;
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}
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</style>
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<div class="footer">
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<p>Developed with <span style ='color:red'>❤</span> by <a href="https://shrikrishnaparab.tech/" target="_blank">Shrikrishna Parab</a></p>
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</div>
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"""
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def fetch_poster(movie_id):
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url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(movie_id)
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data = requests.get(url)
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data = data.json()
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poster_path = data['poster_path']
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full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
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return full_path
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def recommend(movie):
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index = movies[movies['title'] == movie].index[0]
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distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
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recommended_movie_names = []
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recommended_movie_posters = []
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for i in distances[1:6]:
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# fetch the movie poster
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movie_id = movies.iloc[i[0]].movie_id
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recommended_movie_posters.append(fetch_poster(movie_id))
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recommended_movie_names.append(movies.iloc[i[0]].title)
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return recommended_movie_names,recommended_movie_posters
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st.title("Movie Recommender System")
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movies = pickle.load(open('movie_list.pkl','rb'))
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similarity = pickle.load(open('similarity.pkl','rb'))
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movie_list = movies['title'].values
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option_selected = st.selectbox(
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'Type or Select Movie Name from Dropdown',
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movie_list
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)
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if st.button('Show Recommendation'):
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recommended_movie_names, recommended_movie_posters = recommend(option_selected)
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col1, col2, col3, col4, col5 = st.columns(5)
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with col1:
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st.image(recommended_movie_posters[0], caption=recommended_movie_names[0])
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with col2:
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st.image(recommended_movie_posters[1], caption=recommended_movie_names[1])
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with col3:
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st.image(recommended_movie_posters[2], caption=recommended_movie_names[2])
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with col4:
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st.image(recommended_movie_posters[3], caption=recommended_movie_names[3])
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with col5:
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st.image(recommended_movie_posters[4], caption=recommended_movie_names[4])
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st.markdown(footer,unsafe_allow_html=True)
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movie_list.pkl
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a7be347c4e22aae6549aafb013a4172287511db29112d87ad08b12b6abb1e41e
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size 2294433
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requirements.txt
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@@ -0,0 +1,2 @@
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streamlit
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sklearn
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similarity.pkl
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb54916c165572df7b87afe95cf7b56241383c4c13255031d1a4bccdb9231dce
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size 184781248
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