app.py

import streamlit as st
from PIL import Image
import os


st.title("Our History in Data")

# Set the global index path
global_index_path = "data/immaterial_index/figures_trends_R/results"
unseen_index_path = (
    "data/immaterial_index/figures_trends_R/figures_unseen/results_unseen"
)
unseen_capita_index_path = (
    "data/immaterial_index/figures_trends_R/figures_unseen/results_unseen/per_capita"
)


population_path = "data/population"
maps_path = "data/map_figures"


# Update image_paths using global_index_path
index_paths = {
    "India": {
        "map": f"{maps_path}/map_Indian world.png",
        "global_index": f"{global_index_path}/india.png",
        "unseen_index": f"{unseen_index_path}/india.png",
        "unseen_index_capita": f"{unseen_capita_index_path}/india.png",
        "population_index": f"{population_path}/Indian world.png",
    },
    "Japan": {
        "map": f"{maps_path}/map_Japan.png",
        "global_index": f"{global_index_path}/japan.png",
        "unseen_index": f"{unseen_index_path}/japan.png",
        "unseen_index_capita": f"{unseen_capita_index_path}/Japan.png",
        "population_index": f"{population_path}/Japan.png",
    },
    "France": {
        "map": f"{maps_path}/map_France.png",
        "global_index": f"{global_index_path}/france.png",
        "unseen_index": f"{unseen_index_path}/france.png",
        "unseen_index_capita": f"{unseen_capita_index_path}/France.png",
        "population_index": f"{population_path}/France.png",
    },
    "Italy": {
        "map": f"{maps_path}/map_Italy.png",
        "global_index": f"{global_index_path}/italy.png",
        "unseen_index": f"{unseen_index_path}/italy.png",
        "unseen_index_capita": f"{unseen_capita_index_path}/Italy.png",
        "population_index": f"{population_path}/Italy.png",
    },
    "Spain": {
        "map": f"{maps_path}/map_Spain.png",
        "global_index": f"{global_index_path}/spain.png",
        "unseen_index": f"{unseen_index_path}/spain.png",
        "unseen_index_capita": f"{unseen_capita_index_path}/Spain.png",
        "population_index": f"{population_path}/Spain.png",
    },
}


# Get the region names (keys) from the index_paths dictionary
regions = list(index_paths.keys())

# Allow the user to select a region
selected_region = st.sidebar.selectbox("Region:", regions)

# Display the selected region's images vertically
if selected_region in index_paths:
    for key, path in index_paths[selected_region].items():
        if os.path.exists(path):
            if key == "global_index":
                st.subheader("Global Index")
                st.image(
                    Image.open(path), caption=key.capitalize(), use_column_width=True
                )
            elif key == "unseen_index":
                st.subheader("Unsee-Species Index")
                st.image(
                    Image.open(path), caption=key.capitalize(), use_column_width=True
                )
            elif key == "unseen_index_capita":
                st.subheader("Unsee-Species per capita Index")
                st.image(
                    Image.open(path), caption=key.capitalize(), use_column_width=True
                )
            elif key == "population_index":
                st.subheader("¨Population Index")
                st.image(
                    Image.open(path), caption=key.capitalize(), use_column_width=True
                )
            elif key == "map":
                st.subheader("Maps")
                st.sidebar.image(
                    Image.open(path), caption=key.capitalize(), use_column_width=True
                )
        else:
            st.write(f"File for {key.capitalize()} does not exist.")
    # Add more information or charts specific to India here
else:
    st.write("Please select India as the region from the sidebar on the left.")