Shraddha Gami
Add Frequently bought together streamlit app
a57df44
import pickle
import streamlit as st
from html_information import html
def read_pickle_files(pickle_file):
with open(pickle_file, '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)
if header_name == "Up-Sell Recommendations" or header_name == "Cross-Sell Recommendations":
st.write("Based on Products added to the Cart")
mid_section = ""
for index, value in enumerate(rec_item_url):
mid_section += """<div class="item"><div id="image-container"><img src='""" + str(value) + """' /></div><p>""" + str(rec_item_name[index]) + """</p></div>"""
mid_html = html + mid_section + """</div></div></body>"""
st.markdown(mid_html, unsafe_allow_html=True)
def get_mapped_values(uid_list, dict_map):
res = []
for val in uid_list:
try:
res.append(dict_map[val])
except:
continue
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"]
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)
filtered_products_list = read_pickle_files("filtered_products_list.pkl")
recommendation_products_list = read_pickle_files("recommendation_products_list.pkl")
product_dict = {item['product_id']: item for item in filtered_products_list}
uid_name_map = read_pickle_files("uid_name_map.pkl")
uid_url_map = read_pickle_files("uid_url_map.pkl")
st.set_page_config(page_title="My App", page_icon=":guardsman:", layout="wide", initial_sidebar_state="auto")
st.header("Frequently Bought Together Recommendations")
uid_list = list(product_dict)
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]
query_url = uid_url_map[query_id]
st.image(query_url, width=200)
carousel_wrapper(recommendation_products_list, query_id, uid_url_map, uid_name_map, "Frequently bought together items", "No BT recommendations found")