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import streamlit as st
import requests
import pickle
import pandas as pd
movies_dict = pickle.load(open('pickle_files/movies_dict.pkl', 'rb'))
movies = pd.DataFrame(movies_dict)
movies_list = movies['title'].tolist()
movies_cos_sim = pickle.load(open('pickle_files/movies_cos_sim.pkl', 'rb'))
print(movies)
def get_recommendations(movie):
if movie in movies['title'].tolist():
index = movies[movies['title']==movie].index[0]
ascending_indices = movies_cos_sim[index].argsort()
descending_indices = ascending_indices[::-1]
return movies.iloc[descending_indices[1:21]]['title'].tolist()
else:
return 0
TMDB_API_KEY = 'd86b9111d56c0b1da25f8f37a94c9a2b'
def fetch_movie_poster(movie_name):
search_url = f"https://api.themoviedb.org/3/search/movie?api_key={TMDB_API_KEY}&query={movie_name}"
response = requests.get(search_url).json()
if response['results']:
poster_path = response['results'][0]['poster_path']
full_poster_url = f"https://image.tmdb.org/t/p/w500{poster_path}"
return full_poster_url
else:
return None
st.title("Movie Recommendation System")
st.write("""If you are using a PC, please enable "Wide mode" for better experience.
Steps : Three dots -> settings -> Wide mode""")
st.write(" ")
movie_name = st.selectbox("Enter a movie name:", movies_list)
if st.button("Get Recommendations"):
if movie_name:
recommendations = get_recommendations(movie_name)
if recommendations:
st.write("Here are some movies you might like:")
cols = st.columns(5)
for idx, movie in enumerate(recommendations):
col = cols[idx % 5]
with col:
st.write(movie)
poster_url = fetch_movie_poster(movie)
if poster_url:
st.image(poster_url, width=250)
else:
st.write("Poster not found.")
else:
st.write("No recommendations found. Please check the movie name and try again.")
else:
st.write("Please enter a movie name.") |