| import streamlit as st | |
| import pandas as pd | |
| import joblib | |
| from PIL import Image | |
| st.set_page_config(layout="wide") | |
| header = st.container() | |
| dataset = st.container() | |
| recommendation = st.container() | |
| with header: | |
| header_ = '<p style="font-family:sans-serif; color:darkcyan; font-size: 46px;">MOVIE RECOMMENDATION</p>' | |
| st.markdown(header_, unsafe_allow_html=True) | |
| text0 = '<p style="font-family:Courier; color:firebrick; font-size: 24px;">With this application, we would like to make a list of movies that you will love watching!</p>' | |
| st.markdown(text0, unsafe_allow_html=True) | |
| with dataset: | |
| st.header('WE BRING TO YOU THE BEST MOVIE COLLECTION') | |
| col1, col2, col3 , col4, col5 = dataset.columns(5) | |
| logo_netflix = Image.open('source/image_streamlit/netflix.jpg') | |
| logo_amazon_prime = Image.open('source/image_streamlit/primevideo.png') | |
| logo_apple_tv = Image.open('source/image_streamlit/apple_tv.png') | |
| logo_hbo = Image.open('source/image_streamlit/HBO.jpg') | |
| logo_disney = Image.open('source/image_streamlit/disney.png') | |
| logo_paramount = Image.open('source/image_streamlit/paramount.png') | |
| with col1: | |
| st.image(logo_netflix) | |
| st.image(logo_hbo) | |
| with col3: | |
| st.image(logo_amazon_prime) | |
| st.image(logo_apple_tv) | |
| with col5: | |
| st.image(logo_paramount) | |
| st.image(logo_disney) | |
| with recommendation: | |
| st.header('LET US MAKE RECOMMENDATION TO YOU') | |
| text1 = '<p style="font-family:Courier; color:darkcyan; font-size: 20px;">Now you show us one of your favorite movies ...</p>' | |
| st.markdown(text1, unsafe_allow_html=True) | |
| text2 = '<p style="font-family:Courier; color:darkcyan; font-size: 20px;">... then let we recommend you movies that you will love!</p>' | |
| st.markdown(text2, unsafe_allow_html=True) | |
| frame = joblib.load('source/model/pickle_frame.joblib') | |
| st.write('### **SELECT** or **TYPE** here below the movie title you loved watching:') | |
| movie_chosen = st.selectbox('', options=[title for title in frame.columns.sort_values()]) | |
| st.write('### **Your favourite movie chosen:**') | |
| st.subheader(movie_chosen) | |
| st.write('### **Here are movies that we recommend you:**', unsafe_allow_html=True) | |
| recommendation_list = list(frame[movie_chosen].sort_values(ascending=False)[1:11].index.values) | |
| title = '' | |
| for i in recommendation_list: | |
| title += "- " + i + "\n" | |
| st.markdown(title) | |