Commit ·
9aaf61d
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Parent(s): 2f04850
Upload 14 files
Browse files- Movie_Recommendation_app.py +214 -0
- chunk_1.pkl +3 -0
- chunk_10.pkl +3 -0
- chunk_11.pkl +3 -0
- chunk_2.pkl +3 -0
- chunk_3.pkl +3 -0
- chunk_4.pkl +3 -0
- chunk_5.pkl +3 -0
- chunk_6.pkl +3 -0
- chunk_7.pkl +3 -0
- chunk_8.pkl +3 -0
- chunk_9.pkl +3 -0
- movie_list.pkl +3 -0
- requirements (2).txt +8 -0
Movie_Recommendation_app.py
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import pickle
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import streamlit as st
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import requests
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import numpy as np
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import pandas as pd
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from tmdbv3api import TMDb
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import json
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import requests
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from tmdbv3api import Movie
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tmdb = TMDb()
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tmdb.api_key = '8265bd1679663a7ea12ac168da84d2e8&language=en-US'
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page_bg_img = '''
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<style>
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[data-testid="stAppViewContainer"]{
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background-image: url("https://www.vshsolutions.com/wp-content/uploads/2020/02/recommender-system-for-movie-recommendation.jpg");
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background-size: cover;
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}
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[data-testid="stHeader"]{
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background-color: rgba(0,0,0,0);
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}
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</style>
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'''
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st.markdown(page_bg_img, unsafe_allow_html=True)
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hide_menu_style = """
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<style>
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#MainMenu {visibility:hidden;}
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footer {visibility: hidden;}
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</style>
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"""
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st . markdown (hide_menu_style ,unsafe_allow_html=True)
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tmdb_movie = Movie()
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def get_movie_id(x):
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result = tmdb_movie.search(x)
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movie_id = result[0].id
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return movie_id
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similarity = pickle.load(open('similarity.pkl','rb'))
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movies = pickle.load(open('movie_list.pkl','rb'))
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def fetch_poster(movie_id):
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url = "https://api.themoviedb.org/3/movie/{}?api_key={}".format(movie_id,tmdb.api_key)
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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['movie_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_name = movies.iloc[i[0]].movie_title
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recommended_movie_posters.append(fetch_poster(get_movie_id(movie_name)))
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recommended_movie_names.append(movies.iloc[i[0]].movie_title.title())
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return recommended_movie_names,recommended_movie_posters
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st.title(':red[Movie Recommendation System]')
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movie_list = movies['movie_title'].values
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selected_movie = st.selectbox(":red[Type or select a movie from the dropdown]",movie_list)
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if st.button('Show Recommendation'):
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recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
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col1, col2, col3, col4, col5 = st.columns(5)
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with col1:
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html_str = f"""
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<style>
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{recommended_movie_names[0]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(recommended_movie_posters[0])
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with col2:
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html_str = f"""
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<style>
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{recommended_movie_names[1]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(recommended_movie_posters[1])
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with col3:
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html_str = f"""
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<style>
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{recommended_movie_names[2]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(recommended_movie_posters[2])
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with col4:
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html_str = f"""
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<style>
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{recommended_movie_names[3]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(recommended_movie_posters[3])
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with col5:
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html_str = f"""
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| 124 |
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<style>
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| 125 |
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{recommended_movie_names[4]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(recommended_movie_posters[4])
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st.markdown(""" <style> .font {
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font-size:50px ; font-family: 'Cooper Black'; color: #FF9633;}
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</style> """, unsafe_allow_html=True)
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st.markdown('<p class="font">You may also like</p>', unsafe_allow_html=True)
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# recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
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suggested_movie_name,suggested_movie_poster = recommend(recommended_movie_names[3].lower())
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| 144 |
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col1, col2, col3, col4, col5 = st.columns(5)
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| 146 |
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with col1:
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| 147 |
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html_str = f"""
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| 148 |
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<style>
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| 149 |
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p.a {{
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| 150 |
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font: bold {18}px Courier;
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| 151 |
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color: cyan;
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| 152 |
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}}
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| 153 |
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</style>
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| 154 |
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<p class="a">{suggested_movie_name[0]}</p>
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| 155 |
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"""
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| 156 |
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st.markdown(html_str, unsafe_allow_html=True)
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| 157 |
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st.image(suggested_movie_poster[0])
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| 159 |
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with col2:
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html_str = f"""
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| 161 |
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<style>
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| 162 |
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p.a {{
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| 163 |
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font: bold {18}px Courier;
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| 164 |
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color: cyan;
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| 165 |
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}}
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</style>
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<p class="a">{suggested_movie_name[1]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(suggested_movie_poster[1])
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with col3:
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| 173 |
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html_str = f"""
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| 174 |
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<style>
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| 175 |
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p.a {{
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| 176 |
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font: bold {18}px Courier;
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| 177 |
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color: cyan;
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| 178 |
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}}
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| 179 |
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</style>
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<p class="a">{suggested_movie_name[2]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(suggested_movie_poster[2])
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with col4:
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| 185 |
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html_str = f"""
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| 186 |
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<style>
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| 187 |
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p.a {{
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| 188 |
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font: bold {18}px Courier;
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| 189 |
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color: cyan;
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}}
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</style>
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<p class="a">{suggested_movie_name[3]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(suggested_movie_poster[3])
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with col5:
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html_str = f"""
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| 198 |
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<style>
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p.a {{
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font: bold {18}px Courier;
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color: cyan;
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}}
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</style>
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<p class="a">{suggested_movie_name[4]}</p>
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"""
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st.markdown(html_str, unsafe_allow_html=True)
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st.image(suggested_movie_poster[4])
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chunk_1.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:0f7ee040543dbc5d19113ce7686ea91e1b2fe4de966641a7c11f81e1242570ca
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size 20941219
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chunk_10.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c650f71419cfcaf777c2dd4198df609a11e514e7d5f008f744143eb3640ec165
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size 20941219
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chunk_11.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2b241dc6b626e928ae987b2e3a3c9caf5b50b48b2713cb1c27d623829e735da
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size 20769571
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chunk_2.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb0eec35f585580443495219963d1ab9606864195c3419b13f58d8a9c4d32a26
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size 20941219
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chunk_3.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6df715ed25bcad5ea636c2334ee429b91439ddc4c7c91b430d2032bdd2a4893a
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size 20941219
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chunk_4.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:249a858cf2a0382ab6d8bc89ddbd5d30e88dd57ed33103b1939b584c4c2b16a9
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size 20941219
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chunk_5.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:fda8b30064af2f7f91a85dfc17086ec6c19be8feec498fe3b74e3e35bf7350e4
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chunk_6.pkl
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oid sha256:aa6ae1377d5b93973dd68c638290ea85b769c4fefb6bed7beb24644f20822b41
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chunk_7.pkl
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oid sha256:18b5a7b2f7c06f7c1f82c55785034f7b57493ff6422f284913adf516edf82047
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chunk_8.pkl
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b9c0416357cbd9be68013e5a77d90492d5609c00ef0c6745a3502b124df731d
|
| 3 |
+
size 20941219
|
chunk_9.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dfaca51556226f74b3dd527d553dfd7585450d09a0e7ed9159a16965aba54368
|
| 3 |
+
size 20941219
|
movie_list.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:907d0ed05e022da386cecb65d278fc05ab0877c648622b69ff46bb13f8bd20e4
|
| 3 |
+
size 823960
|
requirements (2).txt
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
streamlit_option_menu == 0.3.2
|
| 2 |
+
requests==2.28.0
|
| 3 |
+
streamlit-lottie==0.0.3
|
| 4 |
+
pickle-mixin==1.0.2
|
| 5 |
+
times==0.7
|
| 6 |
+
scikit-learn == 1.0.2
|
| 7 |
+
streamlit==1.22.0
|
| 8 |
+
tmdbv3api==1.7.7
|