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Upload 9 files
Browse files- README.md +4 -6
- app.py +131 -0
- bought_together_dict_orders_data.pkl +3 -0
- filtered_products_list.pkl +3 -0
- html_information.py +69 -0
- recommendation_products_list.pkl +3 -0
- transactions.pkl +3 -0
- uid_name_map.pkl +3 -0
- uid_url_map.pkl +3 -0
README.md
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---
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title:
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emoji:
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colorFrom: red
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colorTo:
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sdk: streamlit
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sdk_version: 1.38.0
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app_file: app.py
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pinned: false
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---
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-
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---
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title: README
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emoji: 🐠
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colorFrom: red
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colorTo: blue
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sdk: streamlit
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pinned: false
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---
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Edit this `README.md` markdown file to author your organization card.
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app.py
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import pickle
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import streamlit as st
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from html_information import html
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def read_pickle_files(pickle_file):
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with open(pickle_file, 'rb') as f:
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return pickle.load(f)
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def streamlit_carousel(header_name: str, rec_item_url: list,
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rec_item_name: list, rec_item_count: list = None) -> None:
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st.header(header_name)
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if header_name in ["Up-Sell Recommendations", "Cross-Sell Recommendations"]:
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st.write("Based on Products added to the Cart")
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mid_section = ""
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for index, value in enumerate(rec_item_url):
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count_info = f" - Purchased {rec_item_count[index]} times" if rec_item_count else ""
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mid_section += f"""<div class="item"><div id="image-container"><img src='{str(value)}' /></div><p>{str(rec_item_name[index])}{count_info}</p></div>"""
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mid_html = html + mid_section + """</div></div></body>"""
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st.markdown(mid_html, unsafe_allow_html=True)
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def get_mapped_values(uid_list, dict_map):
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res = []
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for val in uid_list:
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try:
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res.append(dict_map[val])
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except:
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continue
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return res
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def carousel_wrapper(rec_list, query_id, uid_media_map, uid_name_map, header_name, exception_header_name):
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for val in rec_list:
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if val["product_id"] == query_id:
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text_rec_list = val["recommendations"]
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if text_rec_list:
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text_rec_url = []
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text_rec_name = []
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for val in text_rec_list:
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text_rec_url.append(uid_media_map[val["product_id"]])
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text_rec_name.append(uid_name_map[val["product_id"]])
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streamlit_carousel(header_name, text_rec_url, text_rec_name)
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else:
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st.write(exception_header_name)
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# New function to display example transactions
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# def display_example_transactions(transactions_list, query_id, uid_media_map, uid_name_map):
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# example_transactions = [transaction for transaction in transactions_list if query_id in transaction]
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# if len(example_transactions) > 15:
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# example_transactions = example_transactions[:15]
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# transaction_items = []
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# for transaction in example_transactions:
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# transaction_items.extend([item for item in transaction if item != query_id])
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# transaction_urls = get_mapped_values(transaction_items, uid_media_map)
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# transaction_names = get_mapped_values(transaction_items, uid_name_map)
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# streamlit_carousel("Example Transactions", transaction_urls, transaction_names)
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def display_example_transactions(transactions_list, query_id, uid_name_map):
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st.header("Example Transactions")
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# Filter transactions that contain the selected product
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example_transactions = [transaction for transaction in transactions_list if query_id in transaction]
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if len(example_transactions) > 10:
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example_transactions = example_transactions[:10]
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if example_transactions:
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for i, transaction in enumerate(example_transactions):
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transaction_names = get_mapped_values([item for item in transaction if item != query_id], uid_name_map)
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formatted_transaction = "<br>".join(transaction_names) # Join with HTML line breaks
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st.markdown(f"**Transaction {i+1}:**<br>{formatted_transaction}", unsafe_allow_html=True)
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else:
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st.write("No transactions found for this item.")
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# New function to display frequently bought together items with count
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def display_frequently_bought_together(bought_together_dict, query_id, uid_media_map, uid_name_map):
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if query_id in bought_together_dict:
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bought_together_items = bought_together_dict[query_id]
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# Sort the items based on the count in descending order
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sorted_items = sorted(bought_together_items.items(), key=lambda x: x[1], reverse=True)
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# Separate the sorted items into IDs and counts
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item_ids = [item[0] for item in sorted_items]
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item_counts = [item[1] for item in sorted_items]
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# Retrieve URLs and names based on the sorted item IDs
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item_urls = get_mapped_values(item_ids, uid_media_map)
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item_names = get_mapped_values(item_ids, uid_name_map)
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# Display the carousel with sorted items
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streamlit_carousel("Frequently Bought Together (with Count)", item_urls, item_names, item_counts)
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else:
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st.write("No frequent purchases found for this item.")
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# Loading existing and new pickle files
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filtered_products_list = read_pickle_files("filtered_products_list.pkl")
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recommendation_products_list = read_pickle_files("recommendation_products_list.pkl")
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transactions_list = read_pickle_files("transactions.pkl")
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bought_together_dict = read_pickle_files("bought_together_dict_orders_data.pkl")
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product_dict = {item['product_id']: item for item in filtered_products_list}
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uid_name_map = read_pickle_files("uid_name_map.pkl")
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uid_url_map = read_pickle_files("uid_url_map.pkl")
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st.set_page_config(page_title="My App", page_icon=":guardsman:", layout="wide", initial_sidebar_state="auto")
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st.header("Frequently Bought Together Recommendations")
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uid_list = list(product_dict)
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uid_name_list = get_mapped_values(uid_list, uid_name_map)
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st.subheader("Choose a Product")
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index = st.selectbox("Product List", range(len(uid_name_list)), format_func=lambda x: uid_name_list[x])
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query_id = uid_list[index]
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query_url = uid_url_map[query_id]
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st.image(query_url, width=200)
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carousel_wrapper(recommendation_products_list, query_id, uid_url_map, uid_name_map, "Frequently bought together items", "No BT recommendations found")
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# Display frequently bought together items with count carousel
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display_frequently_bought_together(bought_together_dict, query_id, uid_url_map, uid_name_map)
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# Display example transactions carousel
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# display_example_transactions(transactions_list, query_id, uid_url_map, uid_name_map)
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display_example_transactions(transactions_list, query_id, uid_name_map)
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bought_together_dict_orders_data.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba09baa0fb07d318cf1cade7a392eb4441cfc8abd36b31e4fc31867577156fea
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size 72032
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filtered_products_list.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:d12bc11ffdd732b0045865d5039aaf4d1134309a6da437637907911b92a9e388
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size 569187
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html_information.py
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html = """
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<style>
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body{
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font-family: sans-serif;
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}
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h1{
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font-weight: 100;
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}
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.container{
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width: 100%;
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display:block;
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overflow:hidden;
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}
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.carousel{
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display:block;
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width: 100%;
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height: 320px;
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background: white;
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overflow-x: scroll;
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padding: 10px;
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margin: 0;
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white-space: nowrap;
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border-top: 2px solid rgba(0, 0, 0, 0.1);
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border-bottom: 2px solid rgba(0, 0, 0, 0.1);
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}
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.item {
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display: inline-block;
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overflow: hidden;
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width: 250px;
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margin: 0 10px;
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height: calc(100%);
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background: rgba(0, 0, 0, 0.05) no-repeat center center;
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background-size: cover;
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position:relative;
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border-radius: 20px;
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box-shadow: 0 0 10px #dfdfdf;
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}
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.item p {
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padding: 20px;
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word-break: break-all;
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white-space: break-spaces;
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overflow: hidden;
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display: -webkit-box;
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-webkit-line-clamp: 4;
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-webkit-box-orient: vertical;
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margin: 0;
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align: center;
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}
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#image-container{
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width: 100%;
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height: 60%;
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text-align:center;
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font-size: 9em;
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color: white;
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overflow: hidden;
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}
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#image-container img{
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width: 100%;
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height: 100%;
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object-fit: contain;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="carousel">
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"""
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recommendation_products_list.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:d12bc11ffdd732b0045865d5039aaf4d1134309a6da437637907911b92a9e388
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size 569187
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transactions.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b65fd3738b532c2eaf962a8a4abf0118b58897ae1aaaec236f42a77c6fc2e979
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size 277180
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uid_name_map.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f69ddda1fd27e6713dd98d8494b31ffb593a798f81eb859bbfa6bceb36139aaa
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size 769524
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uid_url_map.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:99b5da65445ac38124ffb2cdfddf7a37a8a4a4a848d689195a3899f91a708b5a
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size 2880289
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