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app.py
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app.py
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import streamlit as st
import pandas as pd
import numpy as np
import pydeck as pdk
from api.fast import predict
from waiste.distance import calculate_minimun_distance, locate_lat_long
from waiste.layout_params import background_image, title, title1, title2, title3, subtitle1, subtitle2, subtitle3, paper_title, cardboard_title, metal_title, plastic_title, glass_title, organic_title, electronics_title, bricks_title, telgopor_title, hazardous_title, clothes_title, bin_locations, find_location, enter_data, paper_bin, cardboard_bin, metal_bin, plastic_bin, glass_bin, organic_bin, electronics_bin, bricks_bin, telgopor_bin, hazardous_bin, clothes_bin, paper_small_bin, cardboard_small_bin, metal_small_bin, plastic_small_bin, glass_small_bin, organic_small_bin, electronics_small_bin, bricks_small_bin, telgopor_small_bin, hazardous_small_bin, clothes_small_bin, paper_subtitle, cardboard_subtitle, metal_subtitle, plastic_subtitle, glass_subtitle, organic_subtitle, electronics_subtitle, bricks_subtitle, telgopor_subtitle, hazardous_subtitle, clothes_subtitle, category, closest_location, non_recyclable_title, non_recyclable_bin, non_recyclable
from waiste.params import PATH_TO_PUNTOS_VERDES, PATH_TO_MAP_DOTS
from waiste.predict import predict_gcp
from PIL import Image
def get_map_data():
data = pd.read_csv(PATH_TO_PUNTOS_VERDES, sep=",")
data.rename(columns={'Lat': 'lat', 'Long': 'lon'}, inplace = True)
df = pd.DataFrame(data[['lat', 'lon']])
return df
# Site configuration
st.set_page_config(page_title="wAIste",
page_icon="♻️",
layout="centered",
initial_sidebar_state="collapsed")
# Main section
st.markdown(title, unsafe_allow_html=True)
st.markdown(f'<style>{background_image}</style>', unsafe_allow_html=True)
# How it works section
col1, col2, col3 = st.columns(3)
with col1:
st.markdown(title1, unsafe_allow_html=True)
st.markdown(subtitle1, unsafe_allow_html=True)
st.image(
"https://cdn.pixabay.com/photo/2016/01/03/00/43/upload-1118929_1280.png"
)
with col2:
st.markdown(title2, unsafe_allow_html=True)
st.markdown(subtitle2, unsafe_allow_html=True)
st.image(
"https://cdn.pixabay.com/photo/2012/04/14/14/42/man-34164_1280.png")
with col3:
st.markdown(title3, unsafe_allow_html=True)
st.markdown(subtitle3, unsafe_allow_html=True)
st.image(
"https://cdn.pixabay.com/photo/2016/01/10/22/23/location-1132648_1280.png"
)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
# User inputs
def local_css(file_name):
with open(file_name) as f:
st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
local_css("style.css")
st.markdown(enter_data, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
col4, col5 = st.columns(2)
with col4:
name = st.text_input('Name', '')
with col5:
address = st.text_input('Address', '')
# User uploads image
with st.expander("Upload your waste image..."):
uploaded_file = st.file_uploader("", type=['png', 'jpg', 'jpeg'])
# Prediction
if uploaded_file:
image = Image.open(uploaded_file)
material = predict_gcp(image)
# material = predict(uploaded_file)
if material == "Telgopor":
material = "telgopor"
elif material == "Tetra-brik":
material = "tetrabrik"
elif material == "hazardous (bateries, cds)":
material = "hazardous"
else:
material = ""
COLORS_R = {"brown": 182, "violet": 146, "green": 40, "gray": 126, "gold": 206, "orange": 254, "darkgreen": 38, "lightblue": 82, "yellow": 254, "blue": 51, "red": 254}
COLORS_G = {"brown": 96, "violet": 45, "green": 219, "gray": 123, "gold": 173, "orange": 156, "darkgreen": 126, "lightblue": 177, "yellow": 212, "blue": 142, "red": 3}
COLORS_B = {"brown": 1, "violet": 205, "green": 3, "gray": 123, "gold": 73, "orange": 0, "darkgreen": 41, "lightblue": 190, "yellow": 0, "blue": 211, "red": 0}
# data = pd.read_csv(PATH_TO_MAP_DOTS)
# st.write(data)
LAT_COLUMN = "Lat"
LONG_COLUMN = "Long"
LOCS = {
"Plaza Armenia": {
"latitude": -34.6185,
"longitude": -58.4476
},
}
PLAZA_ARMENIA = LOCS["Plaza Armenia"]
MATERIAL_COLORS = {
"clothes": "brown",
"electronics": "violet",
"organics": "green",
"telgopor": "gray",
"tetrabrik": "gold",
"plastic": "orange",
"metal": "darkgreen",
"glass": "lightblue",
"cardboard": "yellow",
"paper": "blue",
"hazardous": "red",
}
class ViewInitialLocation:
def __init__(self):
self.latitude = PLAZA_ARMENIA["latitude"]
self.longitude = PLAZA_ARMENIA["longitude"]
self.zoom = 10.85
self.pitch = 40.0
def edit_view(self):
location = st.sidebar.selectbox("Location",
options=list(LOCS.keys()),
index=0)
self.latitude = LOCS[location]["latitude"]
self.longitude = LOCS[location]["longitude"]
@property
def view_location(self) -> pdk.ViewState:
return pdk.ViewState(
longitude=self.longitude,
latitude=self.latitude,
zoom=self.zoom
)
class WasteBinsMap:
def __init__(self):
self.view_initial_location = ViewInitialLocation()
self.data = self.get_data()
self.show_data = False
@staticmethod
@st.cache
def get_data() -> pd.DataFrame:
data = pd.read_csv(PATH_TO_MAP_DOTS, sep=";", decimal=',')
data["material_color"] = data.material.map(MATERIAL_COLORS)
data["material_color"] = data["material_color"].fillna("gray")
data["color_r"] = data["material_color"].map(COLORS_R)
data["color_g"] = data["material_color"].map(COLORS_G)
data["color_b"] = data["material_color"].map(COLORS_B)
data["color_a"] = 140
return data[[
LAT_COLUMN,
LONG_COLUMN,
"material",
"Lugar",
"material_color",
"color_r",
"color_g",
"color_b",
"color_a",
]]
def _scatter_plotter_layer(self):
return pdk.Layer(
"ScatterplotLayer",
data=self.data,
get_position=[LONG_COLUMN, LAT_COLUMN],
get_fill_color="[color_r, color_g, color_b]",
get_radius="color_a",
pickable=True,
stroked=False,
filled=True,
wireframe=True,
)
def _deck(self):
return pdk.Deck(
map_style="mapbox://styles/mapbox/light-v10",
initial_view_state=self.view_initial_location.view_location,
layers=[self._scatter_plotter_layer()])
def view(self):
st.pydeck_chart(self._deck())
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
if material == "":
st.markdown(find_location, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
col21, col22, col23, col24, col25, col26, col27, col28, col29, col30, col31 = st.columns(11)
with col21:
st.markdown(paper_small_bin, unsafe_allow_html=True)
st.markdown(paper_subtitle, unsafe_allow_html=True)
with col22:
st.markdown(cardboard_small_bin, unsafe_allow_html=True)
st.markdown(cardboard_subtitle, unsafe_allow_html=True)
with col23:
st.markdown(metal_small_bin, unsafe_allow_html=True)
st.markdown(metal_subtitle, unsafe_allow_html=True)
with col24:
st.markdown(plastic_small_bin, unsafe_allow_html=True)
st.markdown(plastic_subtitle, unsafe_allow_html=True)
with col25:
st.markdown(glass_small_bin, unsafe_allow_html=True)
st.markdown(glass_subtitle, unsafe_allow_html=True)
with col26:
st.markdown(organic_small_bin, unsafe_allow_html=True)
st.markdown(organic_subtitle, unsafe_allow_html=True)
with col27:
st.markdown(electronics_small_bin, unsafe_allow_html=True)
st.markdown(electronics_subtitle, unsafe_allow_html=True)
with col28:
st.markdown(bricks_small_bin, unsafe_allow_html=True)
st.markdown(bricks_subtitle, unsafe_allow_html=True)
with col29:
st.markdown(telgopor_small_bin, unsafe_allow_html=True)
st.markdown(telgopor_subtitle, unsafe_allow_html=True)
with col30:
st.markdown(hazardous_small_bin, unsafe_allow_html=True)
st.markdown(hazardous_subtitle, unsafe_allow_html=True)
with col31:
st.markdown(clothes_small_bin, unsafe_allow_html=True)
st.markdown(clothes_subtitle, unsafe_allow_html=True)
waste_bins = WasteBinsMap()
waste_bins.view()
else:
col1, col2 = st.columns([1,3])
if material == 'metal':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(metal_bin, unsafe_allow_html=True)
st.markdown(metal_title, unsafe_allow_html=True)
if material == 'cardboard':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(cardboard_bin, unsafe_allow_html=True)
st.markdown(cardboard_title, unsafe_allow_html=True)
if material == 'paper':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(paper_bin, unsafe_allow_html=True)
st.markdown(paper_title, unsafe_allow_html=True)
if material == 'plastic':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(plastic_bin, unsafe_allow_html=True)
st.markdown(plastic_title, unsafe_allow_html=True)
if material == 'glass':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(glass_bin, unsafe_allow_html=True)
st.markdown(glass_title, unsafe_allow_html=True)
if material == 'organic':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(organic_bin, unsafe_allow_html=True)
st.markdown(organic_title, unsafe_allow_html=True)
if material == 'electronics':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(electronics_bin, unsafe_allow_html=True)
st.markdown(electronics_title, unsafe_allow_html=True)
if material == 'tetrabrik':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(bricks_bin, unsafe_allow_html=True)
st.markdown(bricks_title, unsafe_allow_html=True)
if material == 'telgopor':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(telgopor_bin, unsafe_allow_html=True)
st.markdown(telgopor_title, unsafe_allow_html=True)
if material == 'hazardous':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(hazardous_bin, unsafe_allow_html=True)
st.markdown(hazardous_title, unsafe_allow_html=True)
if material == 'clothes':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(clothes_bin, unsafe_allow_html=True)
st.markdown(clothes_title, unsafe_allow_html=True)
if material == 'no reciclable - varios':
with col1:
st.markdown(category, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(non_recyclable_bin, unsafe_allow_html=True)
st.markdown(non_recyclable_title, unsafe_allow_html=True)
with col2:
if material == 'no reciclable - varios':
st.markdown(non_recyclable, unsafe_allow_html=True)
else:
closest_location_info = calculate_minimun_distance(address, material)
st.markdown(closest_location, unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
st.markdown(
f'<h2 style="font-family: sans-serif; color: rgba(17, 63, 8, 0.959); text-align: center; text-shadow: 0 0 black; padding-bottom: 8px; padding-left: 24px; padding-right: 24px; font-size: 16px;">{closest_location_info["Lugar"]}</h2>',
unsafe_allow_html=True)
st.markdown(
f'<h2 style="font-family: sans-serif; color: rgba(17, 63, 8, 0.959); text-align: center; text-shadow: 0 0 black; padding-bottom: 8px; padding-left: 24px; padding-right: 24px; font-size: 16px;">{closest_location_info["Dirección"]} - {closest_location_info["Barrio"]}</h2>',
unsafe_allow_html=True)
st.markdown(
f'<h2 style="font-family: sans-serif; color: rgba(17, 63, 8, 0.959); text-align: center; text-shadow: 0 0 black; padding-bottom: 8px; padding-left: 24px; padding-right: 24px; font-size: 16px;">{closest_location_info["Cooperativa"]}<br>Abierto: {closest_location_info["Día y Horario"]}</h2>',
unsafe_allow_html=True)
st.markdown("<br>", unsafe_allow_html=True)
# Show map with closest location
lat, long = locate_lat_long(address)
d = {
"Lat": [lat],
"Long": [long],
"material": [material],
"material_color": [""],
"color_r": [""],
"color_g": [""],
"color_b": [""],
"color_a": [""],
}
data = pd.DataFrame(d)
data["material_color"] = data.material.map(MATERIAL_COLORS)
data["color_r"] = data["material_color"].map(COLORS_R)
data["color_g"] = data["material_color"].map(COLORS_G)
data["color_b"] = data["material_color"].map(COLORS_B)
data["color_a"] = 140
layer = pdk.Layer(
"ScatterplotLayer",
data=data,
get_position=[long, lat],
get_fill_color="[color_r, color_g, color_b]",
get_radius="color_a",
pickable=True,
stroked=False,
filled=True,
wireframe=True,
get_polygon='-',
)
view_state = pdk.ViewState(longitude=long,
latitude=lat,
zoom=12.5)
if material != 'no reciclable - varios':
deck = pdk.Deck(
map_style="mapbox://styles/mapbox/light-v10",
initial_view_state=view_state,
layers=[layer],
tooltip={
"html":
f'{material.upper()} CONTAINER - {closest_location_info["Lugar"]}',
"style": {
"color": "white"
}
})
st.pydeck_chart(deck)