import streamlit as st import pickle from html_information import html def load_pickle_file(file_name): with open(file_name, 'rb') as f: return pickle.load(f) def streamlit_carousel(header_name: str, rec_item_url: list, rec_item_name: list) -> None: st.header(header_name) mid_section = "" for index, value in enumerate(rec_item_url): mid_section += """

""" + str(rec_item_name[index]) + """

""" mid_html = html + mid_section + """""" st.markdown(mid_html, unsafe_allow_html=True) def get_mapped_values(uid_list, uid_map_dict): res = [] for val in uid_list: res.append(uid_map_dict[val]) return res def carousel_wrapper(rec_list, query_id, uid_media_map, uid_name_map, header_name, exception_header_name): for val in rec_list: if val["product_id"] == query_id: text_rec_list = val["recommendations"] print(text_rec_list) if text_rec_list: text_rec_url = [] text_rec_name = [] for val in text_rec_list: text_rec_url.append(uid_media_map[val["product_id"]]) text_rec_name.append(uid_name_map[val["product_id"]]) streamlit_carousel(header_name, text_rec_url, text_rec_name) else: st.write(exception_header_name) uid_name_map = load_pickle_file('generalize_uid_name_map.pkl') uid_media_map = load_pickle_file('generalize_uid_media_map.pkl') color_global_local_filters_rec = load_pickle_file('color_global_local_filters.pkl') color_no_filters_rec = load_pickle_file('color_no_filters.pkl') no_color_global_local_filters_rec = load_pickle_file('no_color_global_local_filters.pkl') no_color_no_filters_rec = load_pickle_file('no_color_no_filters.pkl') no_color_no_filters_attributes_rank_1_rec = load_pickle_file('no_color_no_filters_attributes_rank_1.pkl') no_color_no_filters_brand_rank_1_rec = load_pickle_file('no_color_no_filters_brand_rank_1.pkl') st.set_page_config(page_title="My App", page_icon=":guardsman:", layout="wide", initial_sidebar_state="auto") st.header("Bought Together Recommendations") uid_list = list(uid_name_map) uid_name_list = get_mapped_values(uid_list, uid_name_map) st.subheader("Choose a Product") index = st.selectbox("Product List", range(len(uid_name_list)), format_func=lambda x: uid_name_list[x]) query_id = uid_list[index] print(query_id) print() query_url = uid_media_map[query_id] st.image(query_url, width=200) carousel_wrapper(color_global_local_filters_rec, query_id, uid_media_map, uid_name_map, "Color Global Filter: 'Jeans', Local Filter: No 'Trousers' for 'Formal Shirts'", "No BT recommendations found") carousel_wrapper(no_color_global_local_filters_rec, query_id, uid_media_map, uid_name_map, "No Color Global Filter: 'Jeans', Local Filter: No 'Trousers' for 'Formal Shirts'", "No BT recommendations found") carousel_wrapper(color_no_filters_rec, query_id, uid_media_map, uid_name_map, "Color No Filters", "No BT recommendations found") carousel_wrapper(no_color_no_filters_rec, query_id, uid_media_map, uid_name_map, "No Color No Filters", "No BT recommendations found") carousel_wrapper(no_color_no_filters_attributes_rank_1_rec, query_id, uid_media_map, uid_name_map, "No Color No Filters Attributes Name Rank 1", "No BT recommendations found") carousel_wrapper(no_color_no_filters_brand_rank_1_rec, query_id, uid_media_map, uid_name_map, "No Color No Filters Brand Name Rank 1", "No BT recommendations found")