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app.py
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import pickle
import streamlit as st
import requests
def fetch_poster(movie_id):
'''Function takes movie_id (integer) and returns poster link'''
api_key = 'c9bd7d6f35fb8240a8bf7ffa6cc24c1b'
url = "https://api.themoviedb.org/3/movie/{}?api_key={}&language=en-US".format(movie_id, api_key)
# sending request to the api
data = requests.get(url)
data = data.json()
# getting appropriate data from reasponse data of api
poster_path = data['poster_path']
full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
return full_path
def recommend(movie):
'''Function takes a movie (string) and returns 6 similar movie names list and 6 movie poster list'''
index = movies[movies['title'] == movie].index[0]
top_20 = similarity[index]
recommended_movie_names = []
recommended_movie_posters = []
for i in top_20[1:7]:
movie_id = movies.iloc[i].movie_id
# fetch the movie poster
poster = fetch_poster(movie_id)
recommended_movie_posters.append(poster)
recommended_movie_names.append(movies.iloc[i].title)
return recommended_movie_names, recommended_movie_posters,
st.header('Movie Recommender 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,recommended_movie_posters = recommend(selected_movie)
col1, col2, col3 = st.columns(3)
with col1:
st.text(recommended_movie_names[0])
st.image(recommended_movie_posters[0])
with col2:
st.text(recommended_movie_names[1])
st.image(recommended_movie_posters[1])
with col3:
st.text(recommended_movie_names[2])
st.image(recommended_movie_posters[2])
col4, col5, col6 = st.columns(3)
with col4:
st.text(recommended_movie_names[3])
st.image(recommended_movie_posters[3])
with col5:
st.text(recommended_movie_names[4])
st.image(recommended_movie_posters[4])
with col6:
st.text(recommended_movie_names[5])
st.image(recommended_movie_posters[5])