import os import streamlit as st import pandas as pd import numpy as np from st_pages import Page, show_pages from PIL import Image #from utils import authenticate_drive ################################################################################## # PAGE CONFIGURATION # ################################################################################## st.set_page_config(layout="wide") ################################################################################## # GOOGLE DRIVE CONNEXION # ################################################################################## # if ["drive_oauth"] not in st.session_state: # st.session_state["drive_oauth"] = authenticate_drive() # drive_oauth = st.session_state["drive_oauth"] ################################################################################## # TITLE # ################################################################################## st.image("images/AI.jpg") st.title("AI and Data Science Examples") st.subheader("HEC Paris, 2023-2024") st.markdown("Course provided by **Shirish C. SRIVASTAVA**") st.markdown(" ") st.info("""**About the app**: The AI and Data Science Examples app was created to introduce students to the field of Data Science by showcasing real-life applications of AI. It includes use cases using traditional Machine Learning algorithms on structured data, as well as Deep Learning models run on unstructured data (text, images,...).""") st.divider() #Hi! PARIS collaboration mention st.markdown(" ") image_hiparis = Image.open('images/hi-paris.png') st.image(image_hiparis, width=150) url = "https://www.hi-paris.fr/" st.markdown("**The app was made in collaboration with: [Hi! PARIS Engineering Team](%s)**" % url) ################################################################################## # DASHBOARD/SIDEBAR # ################################################################################## # AI use case pages show_pages( [ Page("main_page.py", "Home Page", "🏠"), Page("pages/supervised_unsupervised_page.py", "Supervised vs Unsupervised", "🔍"), Page("pages/timeseries_analysis.py", "Time Series Forecasting", "📈"), Page("pages/sentiment_analysis.py", "Sentiment Analysis", "👍"), Page("pages/object_detection.py", "Object Detection", "📹"), #need to reduce RAM costs Page("pages/recommendation_system.py", "Recommendation system", "🛒") ] ) ################################################################################## # PAGE CONTENT # ##################################################################################