Add app.py and datasets

app.py

@@ -0,0 +1,35 @@
+import streamlit as st
+from bertopic import BERTopic
+import re
+import pandas as pd
+from sklearn.feature_extraction.text import CountVectorizer
+
+st.set_page_config(page_title='eRupt Topic Trendy (e-Commerce x Social Media)', page_icon=None, layout='centered', initial_sidebar_state='auto')
+
+st.markdown("<h1 style='text-align: center;'>Topic Trendy</h1>", unsafe_allow_html=True)
+
+BerTopic_model = BERTopic.load("my_topics_model")
+input_text = st.text_area("Enter product topic here")
+
+topic = pd.read_csv('./Data/tiktok_utf8.csv')
+
+timestamps = topic.date.to_list()
+tiktok = topic.text.to_list()
+
+vectorizer_model = CountVectorizer(stop_words="english")
+topic_model = BERTopic(verbose=True,vectorizer_model=vectorizer_model)
+topics, probs = topic_model.fit_transform(tiktok)
+
+similar_topics, similarity = topic_model.find_topics(input_text, top_n=20)
+
+most_similar = similar_topics[0]
+print(similar_topics[0])
+print("Most Similar Topic Info: \n{}".format(topic_model.get_topic(most_similar)))
+print("Similarity Score: {}".format(similarity[0]))
+
+answer_as_string = topic_model.get_topic(most_similar)
+
+st.text_area("Most Similar Topic List is Here",answer_as_string,key="topic_list")
+st.image('https://freepngimg.com/download/keyboard/6-2-keyboard-png-file.png',use_column_width=True)
+st.markdown("<h6 style='text-align: center; color: #808080;'>Created By LiHE</a></h6>", unsafe_allow_html=True)
+

requirements.txt

@@ -0,0 +1 @@
+bertopic==0.10.0