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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 #
##################################################################################
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