| import os |
|
|
| import streamlit as st |
|
|
| from utils.paths import LOGO |
|
|
| st.set_page_config( |
| page_title="Topic Pulse | Tokopedia Review Insight", |
| page_icon="🛒", |
| layout="wide", |
| ) |
|
|
| st.sidebar.title("Topic Pulse") |
| st.sidebar.caption("Tokopedia Review Insight - NLP topic modeling") |
| page = st.sidebar.radio("Navigate", ["Home", "Methodology", "EDA", "Predict Theme", "Submit a Review"]) |
| st.sidebar.markdown("---") |
| st.sidebar.caption("FTDS-040-HCK - Group 001") |
|
|
|
|
| def home(): |
| |
| if os.path.exists(LOGO): |
| _, mid, _ = st.columns([1, 1, 1]) |
| with mid: |
| st.image(LOGO, use_column_width=True) |
|
|
| st.markdown( |
| "<h1 style='text-align:center; margin-bottom:0;'>Topic Pulse</h1>" |
| "<p style='text-align:center; color:#2e7d32; font-size:1.15rem; margin-top:0.2rem;'>" |
| "Tokopedia Review Insight</p>", |
| unsafe_allow_html=True, |
| ) |
|
|
| st.markdown( |
| """ |
| Understand **what customers actually praise and complain about** in Indonesian Tokopedia |
| reviews - not just whether a review is good or bad, but the *topic* behind it. |
| |
| This app accompanies our topic-modeling project (BERTopic on the PRDECT-ID dataset): |
| |
| - **Methodology** - how the model works, end to end. |
| - **EDA** - an interactive dashboard: themes, emotions, ratings, price, geography, priorities. |
| - **Predict Theme** - paste any review and get its predicted theme (praise vs complaint). |
| - **Submit a Review** - add a new review to our live database (it is themed on the way in). |
| """ |
| ) |
|
|
| c1, c2 = st.columns(2) |
| c1.info("Praise themes: product quality, packaging, seller service, fast delivery, value, ...") |
| c2.warning("Complaint themes: item not as described, poor quality, slow delivery, defective, ...") |
| st.caption("Use the sidebar to navigate. Try **Predict Theme** for a quick demo, or **EDA** for the dashboard.") |
|
|
|
|
| if page == "Home": |
| home() |
| elif page == "Methodology": |
| import methodology |
| methodology.run() |
| elif page == "EDA": |
| import eda |
| eda.run() |
| elif page == "Predict Theme": |
| import prediction |
| prediction.run() |
| else: |
| import utils.testInput as testInput |
| testInput.run() |
|
|
