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| import streamlit as st | |
| import base64 | |
| # Setting page config | |
| st.set_page_config(page_title="Home", page_icon=":house:", layout="wide") | |
| #-------------------------------- Background and custom CSS -------------------------------------# | |
| #impliment background formating | |
| def set_bg_hack(main_bg): | |
| # set bg name | |
| main_bg_ext = "jpg" | |
| st.markdown( | |
| f""" | |
| <style> | |
| .stApp {{ | |
| background: url(data:image/{main_bg_ext};base64,{base64.b64encode(open(main_bg, "rb").read()).decode()}); | |
| background-repeat: no-repeat; | |
| background-position: right 50% bottom 95% ; | |
| background-size: cover; | |
| background-attachment: scroll; | |
| }} | |
| </style> | |
| """, | |
| unsafe_allow_html=True, | |
| ) | |
| set_bg_hack("images/dark_bg_home.jpg") | |
| # Setting custom css | |
| css = f""" | |
| <style> | |
| [data-testid="stHeader"] {{ | |
| background: rgba(0,0,0,0); | |
| }} | |
| </style> | |
| """ | |
| st.markdown(css, unsafe_allow_html=True) | |
| #-------------------------------- Sidebar Modification -------------------------------------# | |
| # Setting logo on sidebar | |
| st.sidebar.image("images/logo.png", caption="About this app") | |
| st.sidebar.markdown("##") | |
| st.sidebar.markdown("##") | |
| st.sidebar.markdown("##") | |
| st.sidebar.markdown("[](https://github.com/prithush92)") | |
| st.sidebar.markdown("[](https://www.linkedin.com/in/prithush92/)") | |
| # Page title | |
| st.title("Airline Passenger Feedback Portal ✈️") | |
| # Description | |
| st.markdown(""" | |
| Welcome to the Airline Passenger Feedback Portal! This app analyzes passenger ratings and reviews and predicts how likely is a passenger to recommend the airline. \n | |
| """) | |
| # Features | |
| st.header("🚩 Features", divider="red") | |
| st.markdown(""" | |
| - **Analyze Passenger Ratings**: A Machine Learning model is deployed to predict customer recommendation status based on Ratings. | |
| - **Review Sentiment Analysis**: Customer Reviews are deeply analyzed and sentiment analysis is performed to determine the sentiment of the review. | |
| - **Overall Recommendation Prediction**: Finally using both the Ratings and Review Sentiment, Overall Recommendation Status of the user is predicted. | |
| - **Airline Reviews Dashboard**: For the convenience of Airline Companies, a dashboard is designed to easily visualize Passenger Ratings | |
| and Important Keywords in both Positive and Negative Reviews. | |
| """) | |
| # Technologies Used | |
| st.header("🌐 Technologies Used", divider="blue") | |
| st.markdown(""" | |
| - **SQLite**: Database management system for storing and retrieving passenger feedback data. | |
| - **Pandas**: Data manipulation and analysis library for handling datasets. | |
| - **NumPy**: Numerical computing library for performing mathematical operations. | |
| - **Matplotlib**: Visualization library for creating insightful plots and charts. | |
| - **WordCloud**: Visualization tool for generating word clouds from textual data. | |
| - **TensorFlow**: Deep learning framework for building and training machine learning models. | |
| """) | |
| # About the Developer | |
| st.header("👨🏻💻 About the Developer", divider="green") | |
| st.write(""" | |
| This app is developed by **Prithu Sharma**. | |
| """) | |
| st.markdown( | |
| """ | |
| [](https://github.com/prithush92) | |
| [](https://www.linkedin.com/in/prithush92/) | |
| """ | |
| ) | |
| # Footer | |
| st.markdown("---") | |
| st.write("Explore the app and make informed decisions based on passenger feedback!") |