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import streamlit as st
import pandas as pd
import pickle
from ast import literal_eval
# Importing the dataset
@st.cache_data
def load_data():
try:
anime_data = pd.read_csv(r"rec_data.csv")
except:
st.error("Dataset Not Found")
return anime_data
anime_data = load_data()
def get_genres():
genres = sorted(
list(set([j for i in anime_data["genres"] for j in literal_eval(i)]))
)
genres.insert(0, "All Genres")
genres.remove("NA")
return genres
# Uncomment this if you want to load the model
@st.cache_resource
def load_model():
try:
similarity = pickle.load(open(r"similarity.pkl", "rb"))
except:
st.error("Model Not Found")
return similarity
similarity = load_model()
# Fetching the poster and url of the anime
def fetch_anime_url(anime_id):
url = anime_data[anime_data["anime_id"] == anime_id].anime_url.values[0]
return url
def fetch_poster(anime_id):
poster = anime_data[anime_data["anime_id"] == anime_id].poster.values[0]
return poster
# Recommender System
def recommend(anime, genre=None):
if genre == None:
index = (
anime_data[anime_data["title"] == anime]
.sort_values("score", ascending=False)
.index[0]
)
elif genre != None:
index = (
anime_data[
(anime_data["title"] == anime)
| (anime_data["genres"].str.contains(genre))
]
.sort_values("score", ascending=False)
.index[0]
)
# index = anime_data[anime_data["title"] == anime].index[0]
distances = sorted(
list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1]
)
recommended_anime_names = []
recommended_anime_posters = []
recommended_anime_urls = []
for i in distances[1:9]:
# fetch the anime poster
anime_id = anime_data.iloc[i[0]].anime_id
recommended_anime_posters.append(fetch_poster(anime_id))
recommended_anime_names.append(anime_data.iloc[i[0]].title)
recommended_anime_urls.append(fetch_anime_url(anime_id))
return recommended_anime_names, recommended_anime_posters, recommended_anime_urls
# Function to display the top 8 animes with the highest rating
def top_animes():
style_for_page = """
<style>
div.st-emotion-cache-1v0mbdj.e115fcil1>img {
border-radius: 10px;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0 {
border-radius: 15px;
text-align: center;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0:hover {
scale: 1.05;
transition-duration: 0.3s;
}
</style>
"""
st.markdown(style_for_page, unsafe_allow_html=True)
top8 = anime_data.sort_values("score", ascending=False).head(8)
with st.container():
col0, col1, col2, col3 = st.columns(4)
with col0:
st.link_button(
f"{top8.iloc[0].title}",
f"{top8.iloc[0].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[0].poster)
with col1:
st.link_button(
f"{top8.iloc[1].title}",
f"{top8.iloc[1].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[1].poster)
with col2:
st.link_button(
f"{top8.iloc[2].title}",
f"{top8.iloc[2].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[2].poster)
with col3:
st.link_button(
f"{top8.iloc[3].title}",
f"{top8.iloc[3].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[3].poster)
st.divider()
with st.container():
col4, col5, col6, col7 = st.columns(4)
with col4:
st.link_button(
f"{top8.iloc[4].title}",
f"{top8.iloc[4].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[4].poster)
with col5:
st.link_button(
f"{top8.iloc[5].title}",
f"{top8.iloc[5].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[5].poster)
with col6:
st.link_button(
f"{top8.iloc[6].title}",
f"{top8.iloc[6].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[6].poster)
with col7:
st.link_button(
f"{top8.iloc[7].title}",
f"{top8.iloc[7].anime_url}",
use_container_width=True,
)
st.image(top8.iloc[7].poster)
# Function to display the top 8 animes for user given genre
def top_animes_genres(genre_select):
style_for_page = """
<style>
div.st-emotion-cache-1v0mbdj.e115fcil1>img {
border-radius: 10px;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0 {
border-radius: 15px;
text-align: center;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0:hover {
scale: 1.05;
transition-duration: 0.3s;
}
</style>
"""
st.markdown(style_for_page, unsafe_allow_html=True)
top_8_genre = anime_data[
anime_data["genres"].str.contains(genre_select)
].sort_values("score", ascending=False)[:8]
col0, col1, col2, col3 = st.columns(4)
with col0:
st.link_button(
f"{top_8_genre.iloc[0].title}",
f"{top_8_genre.iloc[0].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[0].poster)
with col1:
st.link_button(
f"{top_8_genre.iloc[1].title}",
f"{top_8_genre.iloc[1].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[1].poster)
with col2:
st.link_button(
f"{top_8_genre.iloc[2].title}",
f"{top_8_genre.iloc[2].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[2].poster)
with col3:
st.link_button(
f"{top_8_genre.iloc[3].title}",
f"{top_8_genre.iloc[3].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[3].poster)
st.divider()
col4, col5, col6, col7 = st.columns(4)
with col4:
st.link_button(
f"{top_8_genre.iloc[4].title}",
f"{top_8_genre.iloc[4].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[4].poster)
with col5:
st.link_button(
f"{top_8_genre.iloc[5].title}",
f"{top_8_genre.iloc[5].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[5].poster)
with col6:
st.link_button(
f"{top_8_genre.iloc[6].title}",
f"{top_8_genre.iloc[6].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[6].poster)
with col7:
st.link_button(
f"{top_8_genre.iloc[7].title}",
f"{top_8_genre.iloc[7].anime_url}",
use_container_width=True,
)
st.image(top_8_genre.iloc[7].poster)
# Function to display the top 8 animes with user given anime name for all genres
def top_animes_custom(anime_select):
style_for_page = """
<style>
div.st-emotion-cache-1v0mbdj.e115fcil1>img {
border-radius: 10px;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0 {
border-radius: 15px;
text-align: center;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0:hover {
scale: 1.05;
transition-duration: 0.3s;
}
</style>
"""
st.markdown(style_for_page, unsafe_allow_html=True)
(
recommended_anime_names,
recommended_anime_posters,
recommended_anime_urls,
) = recommend(anime_select)
with st.container():
col0, col1, col2, col3 = st.columns(4)
with col0:
st.link_button(
f"{recommended_anime_names[0]}",
f"{recommended_anime_urls[0]}",
use_container_width=True,
)
st.image(recommended_anime_posters[0])
with col1:
st.link_button(
f"{recommended_anime_names[1]}",
f"{recommended_anime_urls[1]}",
use_container_width=True,
)
st.image(recommended_anime_posters[1])
with col2:
st.link_button(
f"{recommended_anime_names[2]}",
f"{recommended_anime_urls[2]}",
use_container_width=True,
)
st.image(recommended_anime_posters[2])
with col3:
st.link_button(
f"{recommended_anime_names[3]}",
f"{recommended_anime_urls[3]}",
use_container_width=True,
)
st.image(recommended_anime_posters[3])
st.divider()
with st.container():
col4, col5, col6, col7 = st.columns(4)
with col4:
st.link_button(
f"{recommended_anime_names[4]}",
f"{recommended_anime_urls[4]}",
use_container_width=True,
)
st.image(recommended_anime_posters[4])
with col5:
st.link_button(
f"{recommended_anime_names[5]}",
f"{recommended_anime_urls[5]}",
use_container_width=True,
)
st.image(recommended_anime_posters[5])
with col6:
st.link_button(
f"{recommended_anime_names[6]}",
f"{recommended_anime_urls[6]}",
use_container_width=True,
)
st.image(recommended_anime_posters[6])
with col7:
st.link_button(
f"{recommended_anime_names[7]}",
f"{recommended_anime_urls[7]}",
use_container_width=True,
)
st.image(recommended_anime_posters[7])
# Function to display the top 8 animes with user given anime name and genre
def top_animes_custom_genres(anime_select, genre_select):
style_for_page = """
<style>
div.st-emotion-cache-1v0mbdj.e115fcil1>img {
border-radius: 10px;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0 {
border-radius: 15px;
text-align: center;
}
a.st-emotion-cache-1lbx6hs.e16zdaao0:hover {
scale: 1.05;
transition-duration: 0.3s;
}
</style>
"""
st.markdown(style_for_page, unsafe_allow_html=True)
(
recommended_anime_names,
recommended_anime_posters,
recommended_anime_urls,
) = recommend(anime_select, genre_select)
with st.container():
col0, col1, col2, col3 = st.columns(4)
with col0:
st.link_button(
f"{recommended_anime_names[0]}",
f"{recommended_anime_urls[0]}",
use_container_width=True,
)
st.image(recommended_anime_posters[0])
with col1:
st.link_button(
f"{recommended_anime_names[1]}",
f"{recommended_anime_urls[1]}",
use_container_width=True,
)
st.image(recommended_anime_posters[1])
with col2:
st.link_button(
f"{recommended_anime_names[2]}",
f"{recommended_anime_urls[2]}",
use_container_width=True,
)
st.image(recommended_anime_posters[2])
with col3:
st.link_button(
f"{recommended_anime_names[3]}",
f"{recommended_anime_urls[3]}",
use_container_width=True,
)
st.image(recommended_anime_posters[3])
st.divider()
with st.container():
col4, col5, col6, col7 = st.columns(4)
with col4:
st.link_button(
f"{recommended_anime_names[4]}",
f"{recommended_anime_urls[4]}",
use_container_width=True,
)
st.image(recommended_anime_posters[4])
with col5:
st.link_button(
f"{recommended_anime_names[5]}",
f"{recommended_anime_urls[5]}",
use_container_width=True,
)
st.image(recommended_anime_posters[5])
with col6:
st.link_button(
f"{recommended_anime_names[6]}",
f"{recommended_anime_urls[6]}",
use_container_width=True,
)
st.image(recommended_anime_posters[6])
with col7:
st.link_button(
f"{recommended_anime_names[7]}",
f"{recommended_anime_urls[7]}",
use_container_width=True,
)
st.image(recommended_anime_posters[7])
# Recommender Page
def recommender_page():
style_for_page = """
<style>
button.st-emotion-cache-c766yy.ef3psqc11 {
border-radius: 10px;
}
button.st-emotion-cache-c766yy.ef3psqc11:hover {
scale: 1.05;
transition-duration: 0.3s;
}
</style>
"""
st.markdown(style_for_page, unsafe_allow_html=True)
st.title("Anime Recommendation System :ninja:")
anime_list = anime_data["title"].tolist()
anime_list.sort()
anime_list.insert(0, "Top 8 Animes")
anime_select = st.selectbox("Select an Anime", anime_list, key="anime_select")
genre_select = st.selectbox("Select a Genre", get_genres(), key="genre_select")
if st.button("Recommendation"):
st.divider()
if anime_select == "Top 8 Animes" and genre_select == "All Genres":
top_animes()
st.divider()
elif anime_select == "Top 8 Animes" and genre_select != "All Genres":
top_animes_genres(genre_select)
st.divider()
elif anime_select != "Top 8 Animes" and genre_select == "All Genres":
top_animes_custom(anime_select)
st.divider()
elif anime_select != "Top 8 Animes" and genre_select != "All Genres":
top_animes_custom_genres(anime_select, genre_select)
st.divider()
if __name__ == "__main__":
recommender_page()
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