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| import streamlit as st | |
| import pandas as pd | |
| import numpy as np | |
| import requests | |
| df = pd.read_pickle('popular.pkl') | |
| books = pd.read_pickle('books.pkl') | |
| similarity_scores = pd.read_pickle('similarity.pkl') | |
| pt = pd.read_pickle('pt.pkl') | |
| final_books = pd.read_pickle("final.pkl") | |
| def recommend_book(book_name): | |
| # fetch index | |
| index = np.where(pt.index==book_name)[0][0] | |
| similar_items = sorted(list(enumerate(similarity_scores[index])),key=lambda x:x[1],reverse=True)[1:6] | |
| data=[] | |
| for i in similar_items: | |
| item=[] | |
| temp_df = books[books['Book-Title'] == pt.index[i[0]]] | |
| item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Title'].values)) | |
| item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Author'].values)) | |
| item.extend(list(temp_df.drop_duplicates('Book-Title')['Image-URL-M'].values)) | |
| data.append(item) | |
| return data | |
| def fetch_book_details(book_name): | |
| url = 'https://www.googleapis.com/books/v1/volumes?q={}'.format(book_name) | |
| response=requests.get(url) | |
| obj=response.json() | |
| book_details=[] | |
| ids = [id['id'] for id in obj['items']] | |
| ids = ids[0] | |
| title = obj['items'][0]['volumeInfo']['title'] | |
| author = obj['items'][0]['volumeInfo']['authors'][0] | |
| publish_date= obj['items'][0]['volumeInfo']['publishedDate'] | |
| image = obj['items'][0]['volumeInfo']['imageLinks']['thumbnail'] | |
| preview_link = obj['items'][0]['volumeInfo']['previewLink'] | |
| info = obj['items'][0]['volumeInfo']['infoLink'] | |
| book_details.append(ids) | |
| book_details.append(title) | |
| book_details.append(author) | |
| book_details.append(publish_date) | |
| book_details.append(preview_link) | |
| book_details.append(info) | |
| book_details.append(image) | |
| print(book_details) | |
| return book_details | |
| menu = ['top20','recommender','about'] | |
| option = st.sidebar.selectbox("Select One: ",menu) | |
| if option == 'top20': | |
| st.title("Top 20 Books") | |
| st.text("") | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(df['Image-URL-M'][0]) | |
| st.markdown(f"[{df['Book-Title'][0]}]({fetch_book_details(df['Book-Title'][0])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][0]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][0]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][0],2)}") | |
| with col2: | |
| st.image(df['Image-URL-M'][3]) | |
| st.markdown(f"[{df['Book-Title'][3]}]({fetch_book_details(df['Book-Title'][3])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][3]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][3]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][3],2)}") | |
| with col3: | |
| st.image(df['Image-URL-M'][5]) | |
| st.markdown(f"[{df['Book-Title'][5]}]({fetch_book_details(df['Book-Title'][5])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][5]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][5]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][5],2)}") | |
| with col4: | |
| st.image(df['Image-URL-M'][9]) | |
| st.markdown(f"[{df['Book-Title'][9]}]({fetch_book_details(df['Book-Title'][9])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][9]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][9]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][9],2)}") | |
| st.text("") | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(df['Image-URL-M'][13]) | |
| st.markdown(f"[{df['Book-Title'][13]}]({fetch_book_details(df['Book-Title'][13])[5]})") | |
| st.markdown(df['Book-Title'][13][0:40]) | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][13]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][13]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][13],2)}") | |
| with col2: | |
| st.image(df['Image-URL-M'][16]) | |
| st.markdown(f"[{df['Book-Title'][16]}]({fetch_book_details(df['Book-Title'][16])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][16]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][16]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][16],2)}") | |
| with col3: | |
| st.image(df['Image-URL-M'][17]) | |
| st.markdown(f"[{df['Book-Title'][17]}]({fetch_book_details(df['Book-Title'][17])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][17]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][17]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][17],2)}") | |
| with col4: | |
| st.image(df['Image-URL-M'][26]) | |
| st.markdown(f"[{df['Book-Title'][26]}]({fetch_book_details(df['Book-Title'][26])[5]})") | |
| st.markdown(df['Book-Title'][26][0:40]) | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][26]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][26]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][26],2)}") | |
| st.text("") | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(df['Image-URL-M'][28]) | |
| st.markdown(f"[{df['Book-Title'][17]}]({fetch_book_details(df['Book-Title'][17])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][28]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][28]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][28],2)}") | |
| with col2: | |
| st.image(df['Image-URL-M'][39]) | |
| st.markdown(f"[{df['Book-Title'][39]}]({fetch_book_details(df['Book-Title'][39])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][39]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][39]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][39],2)}") | |
| with col3: | |
| st.image(df['Image-URL-M'][47]) | |
| st.markdown(f"[{df['Book-Title'][47]}]({fetch_book_details(df['Book-Title'][47])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][47]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][47]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][47],2)}") | |
| with col4: | |
| st.image(df['Image-URL-M'][53]) | |
| st.markdown(f"[{df['Book-Title'][53]}]({fetch_book_details(df['Book-Title'][53])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][53]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][53]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][53],2)}") | |
| st.text("") | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(df['Image-URL-M'][55]) | |
| st.markdown(f"[{df['Book-Title'][55]}]({fetch_book_details(df['Book-Title'][55])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][55]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][55]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][55],2)}") | |
| with col2: | |
| st.image(df['Image-URL-M'][62]) | |
| st.markdown(f"[{df['Book-Title'][62]}]({fetch_book_details(df['Book-Title'][62])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][62]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][62]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][62],2)}") | |
| with col3: | |
| st.image(df['Image-URL-M'][63]) | |
| st.markdown(f"[{df['Book-Title'][63]}]({fetch_book_details(df['Book-Title'][63])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][63]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][63]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][63],2)}") | |
| with col4: | |
| st.image(df['Image-URL-M'][72]) | |
| st.markdown(f"[{df['Book-Title'][72]}]({fetch_book_details(df['Book-Title'][72])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][72]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][72]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][72],2)}") | |
| st.text("") | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(df['Image-URL-M'][73]) | |
| st.markdown(f"[{df['Book-Title'][73]}]({fetch_book_details(df['Book-Title'][73])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][73]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][73]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][73],2)}") | |
| with col2: | |
| st.image(df['Image-URL-M'][78]) | |
| st.markdown(f"[{df['Book-Title'][78]}]({fetch_book_details(df['Book-Title'][78])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][78]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][78]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][78],2)}") | |
| with col3: | |
| st.image(df['Image-URL-M'][84]) | |
| st.markdown(f"[{df['Book-Title'][84]}]({fetch_book_details(df['Book-Title'][84])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][84]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][84]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][84],2)}") | |
| with col4: | |
| st.image(df['Image-URL-M'][85]) | |
| st.markdown(f"[{df['Book-Title'][85]}]({fetch_book_details(df['Book-Title'][85])[5]})") | |
| st.markdown(f"<b>Author:<b>{df['Book-Author'][85]}",unsafe_allow_html=True) | |
| st.markdown(f"Votes - {df['num_ratings'][85]}") | |
| st.markdown(f"rating - {round(df['avg_ratings'][85],2)}") | |
| elif option=='recommender': | |
| st.title("Books Recommender System") | |
| book_list = final_books['Book-Title'].values | |
| selected_book = st.selectbox("Select your book ",book_list) | |
| if st.button("show recommendation"): | |
| st.header("Recommend For You....") | |
| st.text("") | |
| data=recommend_book(selected_book) | |
| col1,col2,col3,col4=st.columns(4) | |
| with col1: | |
| st.image(fetch_book_details(data[0][0])[6]) | |
| st.markdown(f"[{data[0][0]}]({fetch_book_details(data[0][0])[5]})") | |
| with col2: | |
| st.image(fetch_book_details(data[1][0])[6]) | |
| st.markdown(f"[{data[1][0]}]({fetch_book_details(data[1][0])[5]})") | |
| with col3: | |
| st.image(fetch_book_details(data[2][0])[6]) | |
| st.markdown(f"[{data[2][0]}]({fetch_book_details(data[2][0])[5]})") | |
| with col4: | |
| st.image(fetch_book_details(data[3][0])[6]) | |
| st.markdown(f"[{data[3][0]}]({fetch_book_details(data[3][0])[5]})") | |
| elif option=="about": | |
| st.title("Book Recommendation Engine V-2.0") | |
| st.markdown("This Engine Developed by <a href='https://github.com/datamind321'>DataMind Platform</a>",unsafe_allow_html=True) | |
| st.subheader("if you have any query Contact us on : [email protected]") | |
| st.markdown("More on : ") | |
| st.markdown("[](https://www.linkedin.com/in/rahul-rathour-402408231/)",unsafe_allow_html=True) | |
| st.markdown("[](https://instagram.com/_technical__mind?igshid=YmMyMTA2M2Y=)") | |