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Update app.py
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app.py
CHANGED
@@ -1,180 +1,205 @@
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import os
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import time
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import folium
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import pandas as pd
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import streamlit as st
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from streamlit_folium import st_folium
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from utils import legend_macro
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from huggingface_hub import HfApi
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from folium import plugins
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TOKEN = os.environ.get("HF_TOKEN", None)
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st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
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if "sleep_time" not in st.session_state:
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st.session_state.sleep_time = 2
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if "auto_refresh" not in st.session_state:
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st.session_state.auto_refresh = False
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if auto_refresh:
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number = st.sidebar.number_input(
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#Logo
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st.markdown(
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"""
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<div style="text-align: center;">
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<img src="https://storage.googleapis.com/storage-annarabic/Nt3awnou(1).png" width="200" height="200">
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</div>
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""",
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unsafe_allow_html=True,
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)
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st.title("Nt3awnou نتعاونو ")
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# middle slogan
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st.markdown(
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"""
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<div style="text-align: center;">
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<h4>وَمَنْ أَحْيَاهَا فَكَأَنَّمَا أَحْيَا النَّاسَ جَمِيعاً</h4>
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</div>
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""",
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unsafe_allow_html=True,
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)
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# Have different streamlit tabs for each language
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st.sidebar.title("Language / اللغة")
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tab_ar, tab_en, tab_fr = st.tabs(["العربية", "English", "Français"])
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with tab_en:
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st.markdown("""
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<div style="text-align: left;">
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Nt3awnou نتعاونو is a collaborative platform dedicated to aiding individuals impacted by the recent earthquake in Morocco. Our core mission is to streamline and coordinate timely assistance for everyone affected. How do we achieve this? We assist those in need by allowing them to communicate their location and the specific aid they require, either by completing a form or sending a voice message via WhatsApp to a designated number. Once we receive and process this information, it can be viewed in our dashboard, which allows NGOs to organize and precisely target their interventions, ensuring swift assistance reaches those in need. Any organization that has taken initiative in a particular area can notify us by completing a dedicated form. This data is also incorporated into the dashboard so that other NGOs can help affected areas that still haven't received help.
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Warning : There are still rocks falling down the mountains, making the roads to the affected areas very dangerous. We advise volunteers to donate directly to specialized NGOs.
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✉️ You can contact us via email at nt3awnou@annarabic.com <br>
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📝 Help us report more people in need by filling this form: https://forms.gle/nZNCUVog9ka2Vdqu6 <br>
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📝 NGOs can report their interventions by filling this form: https://forms.gle/PsNSuHHjTTgwQMmVA
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</div>
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""",
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unsafe_allow_html=True,
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)
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with tab_ar:
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st.markdown(
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"""
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<div style="text-align: right;">
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نتعاونو هي منصة تعاونية لمساعدة الأفراد المتضررين من الزلزال الأخير في المغرب. مهمتنا هي تسهيل تقديم المساعدة في الوقت المناسب و بفاعلية و تنظيم لجميع المتضررين. كيفاش؟ كنعاونو الناس لي محتاجين للمساعدة إعلمونا بمكانهم و نوع المساعدة لي محتاجين ليها سواء عن طريق ملأ الاستمارة أو عن طريق إرسال تسجيل صوتي عبر واتساب إلى رقم مخصص. بعد معالجة هاد المعلومات، كنجمعوهم فخريطة كتمكن الجمعيات من تنظيم و استهداف تدخلاتهم بدقة باش توصل المساعدة للناس لي محتاجين في وقت أسرع. و كل جمعية قامت باللازم في منطقة معينة تقدر تعلمنا عن طريق ملأ استمارة مخصصة لهاد الأمر. هاد المعلومات كذلك كتضاف للخريطة باش باقي الجمعيات يتاجهو لمناطق أخرى مازال ماوصلاتهم مساعدة.
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تحذير : نظرا لخطورة الطرقان بسبب الحجر اللي كيطيح من الجبال، ننصح المتطوعين اللي بغاو يساعدو المناطق المتضررة يتبرعو عن طريق الجمعيات المختصة.
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nt3awnou@annarabic.com المتطوعين ليبغاو يعاونوا يقدرو يتصلوا معنا عبر البريد ✉️
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https://forms.gle/nZNCUVog9ka2Vdqu6 : ساعدونا نبلغو الناس ليمحتاجين فهاد الاستمارة 📝<br>
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https://forms.gle/PsNSuHHjTTgwQMmVA : الجمعيات لي عندهم تدخلات يقدرو يبلغونا عبر هاد الاستمار ة📝
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</div>
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""",
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unsafe_allow_html=True,
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with tab_fr:
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st.markdown("""
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<div style="text-align: left;">
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Nt3awnou نتعاونو est une plateforme collaborative dédiée à l'aide aux personnes touchées par le récent tremblement de terre au Maroc. Notre mission principale est de rationaliser et de coordonner une assistance rapide pour toutes les personnes touchées. Comment y parvenons-nous ? Nous aidons les personnes dans le besoin en leur permettant de communiquer leur localisation et l'aide spécifique dont elles ont besoin, soit en remplissant un formulaire, soit en envoyant un message vocal via WhatsApp à un numéro désigné. Une fois reçues et traitées, ces informations peuvent être consultées dans notre tableau de bord, qui permet aux associations d'organiser et de cibler précisément leurs interventions, afin que l'aide parvienne rapidement à ceux qui en ont besoin. Toute organisation ayant pris une initiative dans une zone particulière peut nous en informer en remplissant un formulaire prévu à cet effet. Ces données sont également intégrées au tableau de bord afin que d'autres associations puissent aider les zones touchées qui n'ont pas encore reçu d'aide.
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Avertissement : Il y a encore des chutes de pierres dans les montagnes, ce qui rend les routes vers les zones touchées très dangereuses. Nous conseillons aux volontaires de faire des dons directement aux associations spécialisées.
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✉️ Vous pouvez nous contacter par courrier électronique à l'adresse suivante : nt3awnou@annarabic.com <br>
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📝 Aidez-nous à signaler plus de personnes dans le besoin en remplissant ce formulaire : https://forms.gle/nZNCUVog9ka2Vdqu6 <br>
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📝 Les associations peuvent signaler leurs interventions en remplissant ce formulaire : https://forms.gle/PsNSuHHjTTgwQMmVA
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</div>
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"""
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, unsafe_allow_html=True)
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@st.cache_data(persist=True)
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def parse_latlng_from_link(url):
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try:
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# extract latitude and longitude from gmaps link
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if "@" not in url:
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# We first need to get the redirect URL
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resp = session.head(url, allow_redirects=True)
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url = resp.url
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latlng = url.split(
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return [float(latlng[0]), float(latlng[1])]
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except Exception as e:
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print(f"Error parsing latlng from link: {e}")
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return None
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def parse_gg_sheet_interventions(url):
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url = url.replace("edit#gid=", "export?format=csv&gid=")
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print(url)
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df = pd.read_csv(url, on_bad_lines=
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return df.assign(latlng=df.iloc[:, 3].apply(parse_latlng_from_link))
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def parse_gg_sheet(url):
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url = url.replace("edit#gid=", "export?format=csv&gid=")
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print(url)
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df = pd.read_csv(url, on_bad_lines='warn')
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# parse latlng (column 4) to [lat, lng]
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def parse_latlng(latlng):
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try:
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lat, lng = latlng.split(",")
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return [float(lat), float(lng)]
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except Exception as e:
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print(f"Error parsing latlng: {e}")
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return None
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if df.shape[1] > 4:
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df = df.assign(latlng=df.iloc[:, 4].apply(parse_latlng))
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return df
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df = parse_gg_sheet(
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"https://docs.google.com/spreadsheets/d/1gYoBBiBo1L18IVakHkf3t1fOGvHWb23loadyFZUeHJs/edit#gid=966953708"
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)
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interventions_df = parse_gg_sheet_interventions(
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"https://docs.google.com/spreadsheets/d/1eXOTqunOWWP8FRdENPs4cU9ulISm4XZWYJJNR1-SrwY/edit#gid=2089222765"
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)
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#
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with tab_en:
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"
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"طعام وماء": "cutlery", # cutlery (fork and knife) for food & water
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"مخاطر (تسرب الغاز، تلف في الخدمات العامة...)": "Warning" # warning triangle for dangers
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}
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options = ["إغاثة", "مساعدة طبية", "مأوى", "طعام وماء", "مخاطر (تسرب الغاز، تلف في الخدمات العامة...)"]
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selected_options = []
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with tab_en:
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cols = [col1, col2, col3, col4, col5]
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for i, option in enumerate(options):
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checked = cols[i].checkbox(
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if checked:
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selected_options.append(option)
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df[
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filtered_df = df[df[
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selected_headers = [
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# select interventions
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show_interventions = st.checkbox("Display Interventions | عرض عمليات المساعدة | Afficher les interventions", value=True)
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m = folium.Map(
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location=[31.228674, -7.992047],
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zoom_start=8.5,
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min_zoom=8.5,
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max_lat=35.628674,
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min_lat=29.628674,
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max_lon=-4.992047,
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min_lon=-10.992047,
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max_bounds=True,
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)
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#
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placeholder="Search | البحث",
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).add_to(m)
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# Add Fullscreen button to the map
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plugins.Fullscreen(
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position='topright',
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title='Expand me | تكبير الخريطة',
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title_cancel='Exit me | تصغير الخريطة',
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force_separate_button=True
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).add_to(m)
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#Satellite View from Mapbox
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tileurl = 'https://api.mapbox.com/styles/v1/phd2020/clmer2mra01d001pbgjkictpt/tiles/256/{z}/{x}/{y}@2x?access_token=pk.eyJ1IjoicGhkMjAyMCIsImEiOiJja29lZzFwZmUwNHkzMm5wMjZnYjVvcGltIn0.tE0ritrelQOyLdKUH6hgOw'
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folium.TileLayer(
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tiles = tileurl,
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attr = 'Satellite View',
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name = 'Satellite View | عرض القمر الصناعي',
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overlay = False,
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control = True
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).add_to(m)
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# Marker for the epicentre
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icon_epicentre = folium.plugins.BeautifyIcon(
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icon='spinner',
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spin='true',
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border_color='#b3334f',
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background_color = '#b3334f',
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text_color = 'white'
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)
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folium.Marker(location=[31.12210171476489, -8.42945837915193], popup="Epicenter زلزال المغرب 2023 (مركز الزلزال)", icon=icon_epicentre).add_to(m)
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# Danger Distances Feature
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Danger_Distances_group = folium.FeatureGroup(name='Danger distances - earthquake magnitude 7 | مسافات الخطر - قوة الزلازل 7').add_to(m)
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radius = 100000 # in meters
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folium.Circle(
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location=[31.12210171476489, -8.42945837915193],
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radius=radius,
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color="black",
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weight=1,
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fill_opacity=0.1,
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opacity=0.1,
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fill_color="yellow",
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tooltip="50 to 100 km -Moderate risk area | منطقة خطر معتدلة",
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).add_to(Danger_Distances_group)
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radius = 50000 # in meters
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folium.Circle(
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location=[31.12210171476489, -8.42945837915193],
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radius=radius,
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color="black",
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weight=1,
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fill_opacity=0.1,
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opacity=0.1,
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fill_color="orange",
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tooltip="30 to 50 km - High risk zone | منطقة عالية المخاطر",
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).add_to(Danger_Distances_group)
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radius = 30000 # in meters
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folium.Circle(
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location=[31.12210171476489, -8.42945837915193],
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radius=radius,
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color="black",
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weight=1,
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fill_opacity=0.2,
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opacity=0.2,
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fill_color="#FF0000",
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tooltip="10 to 30 km - Very high risk zone | منطقة شديدة الخطورة ",
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).add_to(Danger_Distances_group)
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radius = 10000 # in meters
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folium.Circle(
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location=[31.12210171476489, -8.42945837915193],
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radius=radius,
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color="black",
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weight=0.2,
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fill_opacity=0.2,
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opacity=0.2,
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fill_color="#8B0000",
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tooltip="0 to 10km - direct impact zone | منطقة التأثير المباشر",
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).add_to(Danger_Distances_group)
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# Add a LayerControl to the map to toggle between layers (Satellite View and Default One)
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folium.LayerControl().add_to(m)
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if show_interventions:
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status = "Done ✅" if row[interventions_df.columns[5]]!="Intervention prévue dans le futur / Planned future intervention" else "Planned ⌛"
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color_mk = "green" if row[interventions_df.columns[5]]!="Intervention prévue dans le futur / Planned future intervention" else "pink"
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intervention_type = row[interventions_df.columns[6]].split("/")[0].strip()
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org = row[interventions_df.columns[1]]
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city = row[interventions_df.columns[9]]
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date = row[interventions_df.columns[4]]
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intervention_info = f"<b>Status:</b> {status}<br><b>Org:</b> {org}<br><b>Intervention:</b> {intervention_type}<br><b>📅 Date:</b> {date}"
|
320 |
-
if row["latlng"] is None:
|
321 |
-
continue
|
322 |
-
folium.Marker(
|
323 |
-
location=row["latlng"],
|
324 |
-
tooltip=city,
|
325 |
-
popup=folium.Popup(intervention_info, max_width=300),
|
326 |
-
icon=folium.Icon(color=color_mk)
|
327 |
-
).add_to(m)
|
328 |
-
|
329 |
-
for index, row in filtered_df.iterrows():
|
330 |
-
request_type = row['ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)']
|
331 |
-
long_lat = row["هل يمكنك تقديم الإحداثيات الدقيقة للموقع؟ (ادا كنت لا توجد بعين المكان) متلاً \n31.01837503440344, -6.781405948842175"]
|
332 |
-
maps_url = f"https://maps.google.com/?q={long_lat}"
|
333 |
-
display_text = f'<b>Request Type:</b> {request_type}<br><b>Id:</b> {row["id"]}<br><a href="{maps_url}" target="_blank" rel="noopener noreferrer"><b>Google Maps</b></a>'
|
334 |
-
icon_name = icon_mapping.get(request_type, 'info-sign')
|
335 |
-
if row["latlng"] is None:
|
336 |
-
continue
|
337 |
|
338 |
-
|
339 |
-
|
340 |
-
tooltip=row[' لأي جماعة / قيادة / دوار تنتمون ؟'] if not pd.isna(row[' لأي جماعة / قيادة / دوار تنتمون ؟']) else None,
|
341 |
-
popup=folium.Popup(display_text, max_width=300),
|
342 |
-
icon=folium.Icon(color=colors_mapping.get(request_type, "blue"), icon=icon_name)
|
343 |
-
).add_to(m)
|
344 |
-
|
345 |
-
|
346 |
-
# Macro to add legend
|
347 |
-
m.get_root().add_child(legend_macro)
|
348 |
|
349 |
st_data = st_folium(m, use_container_width=True)
|
350 |
|
351 |
-
# Google Sheet
|
352 |
-
|
353 |
-
st.markdown(
|
354 |
-
"""
|
355 |
-
<iframe src="https://docs.google.com/spreadsheets/d/1gYoBBiBo1L18IVakHkf3t1fOGvHWb23loadyFZUeHJs/" width="100%" height="600px"></iframe>
|
356 |
-
<br>
|
357 |
-
""",
|
358 |
-
unsafe_allow_html=True,
|
359 |
-
)
|
360 |
-
|
361 |
-
# Google Sheet Table
|
362 |
-
st.subheader("📝 **Table of interventions / جدول عمليات المساعدة** https://forms.gle/PsNSuHHjTTgwQMmVA")
|
363 |
-
st.markdown(
|
364 |
-
"""
|
365 |
-
<iframe src="https://docs.google.com/spreadsheets/d/1eXOTqunOWWP8FRdENPs4cU9ulISm4XZWYJJNR1-SrwY/?single=true&gid=419657423&range=f2:g6&widget=false&chrome=false" width="100%" height="600px"></iframe>
|
366 |
-
<br>
|
367 |
-
""",
|
368 |
-
unsafe_allow_html=True,
|
369 |
-
)
|
370 |
-
# chat.sendMessage(`https://www.google.com/maps/search/?api=1&query=${location.latitude},${location.longitude}`);
|
371 |
|
372 |
# Submit an id for review
|
373 |
-
|
374 |
-
st.markdown("If you intervened to solve a request, please fill this [form](https://docs.google.com/forms/d/e/1FAIpQLSe8D6T__DJDTVGMrIWMT-H-hQ0qDUWVOncKnrSXgv4NbwHCrQ/viewform)")
|
375 |
-
st.markdown("إذا تدخلت لحل طلب، يرجى ملء هذا [النموذج](https://docs.google.com/forms/d/e/1FAIpQLSe8D6T__DJDTVGMrIWMT-H-hQ0qDUWVOncKnrSXgv4NbwHCrQ/viewform)")
|
376 |
-
st.markdown("**If a request should be reviewed or dropped submit its id here/ إذا كان يجب مراجعة أو حذف طلب، أدخل رقمه هنا:**")
|
377 |
-
|
378 |
-
id_to_review = st.number_input("Enter id / أدخل الرقم", min_value=0, max_value=len(df), value=0, step=1)
|
379 |
-
reason_for_review = st.text_area("Explain why / أدخل سبب المراجعة")
|
380 |
-
if st.button("Submit / أرسل"):
|
381 |
-
if reason_for_review == "":
|
382 |
-
st.error("Please enter a reason / الرجاء إدخال سبب")
|
383 |
-
else:
|
384 |
-
filename = f"review_id_{id_to_review}_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.txt"
|
385 |
-
with open(filename, "w") as f:
|
386 |
-
f.write(f"id: {id_to_review}, explanation: {reason_for_review}\n")
|
387 |
-
api.upload_file(
|
388 |
-
path_or_fileobj=filename,
|
389 |
-
path_in_repo=filename,
|
390 |
-
repo_id="nt3awnou/review_requests",
|
391 |
-
repo_type="dataset",
|
392 |
-
)
|
393 |
-
st.success("Submitted at https://huggingface.co/datasets/nt3awnou/review_requests/ تم الإرسال")
|
394 |
-
|
395 |
|
396 |
|
397 |
# Credits
|
398 |
st.markdown(
|
399 |
-
|
400 |
-
<hr>
|
401 |
-
<div style="text-align: center;">
|
402 |
-
<p>By <b>Moroccans</b> for <b>Moroccans</b> 🤝</p>
|
403 |
-
<p>Bot powered by <a href="https://www.annarabic.com/">Annarabic</a></p>
|
404 |
-
<p>Collaboration made possible thanks to <a href="https://summerschool.morocco.ai/">AI Summer School</a></p>
|
405 |
-
""",
|
406 |
unsafe_allow_html=True,
|
407 |
)
|
408 |
if auto_refresh:
|
409 |
time.sleep(number)
|
410 |
-
st.experimental_rerun()
|
|
|
1 |
import os
|
2 |
import time
|
3 |
+
|
4 |
import folium
|
5 |
import pandas as pd
|
6 |
+
import requests
|
7 |
import streamlit as st
|
|
|
|
|
|
|
8 |
from folium import plugins
|
9 |
+
from huggingface_hub import HfApi
|
10 |
+
from streamlit_folium import st_folium
|
11 |
+
|
12 |
+
from src.text_content import (
|
13 |
+
COLOR_MAPPING,
|
14 |
+
CREDITS_TEXT,
|
15 |
+
HEADERS_MAPPING,
|
16 |
+
ICON_MAPPING,
|
17 |
+
INTRO_TEXT_AR,
|
18 |
+
INTRO_TEXT_EN,
|
19 |
+
INTRO_TEXT_FR,
|
20 |
+
LOGO,
|
21 |
+
REVIEW_TEXT,
|
22 |
+
SLOGAN,
|
23 |
+
)
|
24 |
+
from src.utils import init_map, parse_gg_sheet
|
25 |
|
26 |
|
27 |
TOKEN = os.environ.get("HF_TOKEN", None)
|
28 |
+
REQUESTS_URL = "https://docs.google.com/spreadsheets/d/1gYoBBiBo1L18IVakHkf3t1fOGvHWb23loadyFZUeHJs/edit#gid=966953708"
|
29 |
+
INTERVENTIONS_URL = "https://docs.google.com/spreadsheets/d/1eXOTqunOWWP8FRdENPs4cU9ulISm4XZWYJJNR1-SrwY/edit#gid=2089222765"
|
30 |
+
api = HfApi(TOKEN)
|
31 |
+
|
32 |
+
|
33 |
+
# Initialize Streamlit Config
|
34 |
st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
|
35 |
|
36 |
+
# Initialize States
|
37 |
if "sleep_time" not in st.session_state:
|
38 |
st.session_state.sleep_time = 2
|
|
|
39 |
if "auto_refresh" not in st.session_state:
|
40 |
st.session_state.auto_refresh = False
|
41 |
|
42 |
+
# Session for Requests
|
43 |
+
session = requests.Session()
|
44 |
|
45 |
+
auto_refresh = st.sidebar.checkbox("Auto Refresh?", st.session_state.auto_refresh)
|
46 |
if auto_refresh:
|
47 |
+
number = st.sidebar.number_input(
|
48 |
+
"Refresh rate in seconds", value=st.session_state.sleep_time
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
49 |
)
|
50 |
+
st.session_state.sleep_time = number
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
51 |
|
52 |
|
53 |
+
# Utility functions
|
54 |
@st.cache_data(persist=True)
|
55 |
def parse_latlng_from_link(url):
|
56 |
try:
|
57 |
+
# extract latitude and longitude from gmaps link
|
58 |
if "@" not in url:
|
|
|
59 |
resp = session.head(url, allow_redirects=True)
|
60 |
url = resp.url
|
61 |
+
latlng = url.split("@")[1].split(",")[0:2]
|
62 |
return [float(latlng[0]), float(latlng[1])]
|
63 |
except Exception as e:
|
64 |
print(f"Error parsing latlng from link: {e}")
|
65 |
return None
|
66 |
+
|
67 |
+
|
68 |
def parse_gg_sheet_interventions(url):
|
69 |
url = url.replace("edit#gid=", "export?format=csv&gid=")
|
70 |
print(url)
|
71 |
+
df = pd.read_csv(url, on_bad_lines="skip")
|
72 |
return df.assign(latlng=df.iloc[:, 3].apply(parse_latlng_from_link))
|
73 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
74 |
|
75 |
+
# Streamlit functions
|
76 |
+
def display_interventions(interventions_df, m):
|
77 |
+
"""Display NGO interventions on the map"""
|
78 |
+
for index, row in interventions_df.iterrows():
|
79 |
+
status = (
|
80 |
+
"Done ✅"
|
81 |
+
if row[interventions_df.columns[5]]
|
82 |
+
!= "Intervention prévue dans le futur / Planned future intervention"
|
83 |
+
else "Planned ⌛"
|
84 |
+
)
|
85 |
+
color_mk = (
|
86 |
+
"green"
|
87 |
+
if row[interventions_df.columns[5]]
|
88 |
+
!= "Intervention prévue dans le futur / Planned future intervention"
|
89 |
+
else "pink"
|
90 |
+
)
|
91 |
+
intervention_type = row[interventions_df.columns[6]].split("/")[0].strip()
|
92 |
+
org = row[interventions_df.columns[1]]
|
93 |
+
city = row[interventions_df.columns[9]]
|
94 |
+
date = row[interventions_df.columns[4]]
|
95 |
+
intervention_info = f"<b>Status:</b> {status}<br><b>Org:</b> {org}<br><b>Intervention:</b> {intervention_type}<br><b>📅 Date:</b> {date}"
|
96 |
+
if row["latlng"] is None:
|
97 |
+
continue
|
98 |
+
folium.Marker(
|
99 |
+
location=row["latlng"],
|
100 |
+
tooltip=city,
|
101 |
+
popup=folium.Popup(intervention_info, max_width=300),
|
102 |
+
icon=folium.Icon(color=color_mk),
|
103 |
+
).add_to(m)
|
104 |
+
|
105 |
+
|
106 |
+
def show_requests(filtered_df, m):
|
107 |
+
"""Display victim requests on the map"""
|
108 |
+
for index, row in filtered_df.iterrows():
|
109 |
+
request_type = row["ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)"]
|
110 |
+
long_lat = row[
|
111 |
+
"هل يمكنك تقديم الإحداثيات الدقيقة للموقع؟ (ادا كنت لا توجد بعين المكان) متلاً \n31.01837503440344, -6.781405948842175"
|
112 |
+
]
|
113 |
+
maps_url = f"https://maps.google.com/?q={long_lat}"
|
114 |
+
display_text = f'<b>Request Type:</b> {request_type}<br><b>Id:</b> {row["id"]}<br><a href="{maps_url}" target="_blank" rel="noopener noreferrer"><b>Google Maps</b></a>'
|
115 |
+
icon_name = ICON_MAPPING.get(request_type, "info-sign")
|
116 |
+
if row["latlng"] is None:
|
117 |
+
continue
|
118 |
+
|
119 |
+
folium.Marker(
|
120 |
+
location=row["latlng"],
|
121 |
+
tooltip=row[" لأي جماعة / قيادة / دوار تنتمون ؟"]
|
122 |
+
if not pd.isna(row[" لأي جماعة / قيادة / دوار تنتمون ؟"])
|
123 |
+
else None,
|
124 |
+
popup=folium.Popup(display_text, max_width=300),
|
125 |
+
icon=folium.Icon(
|
126 |
+
color=COLOR_MAPPING.get(request_type, "blue"), icon=icon_name
|
127 |
+
),
|
128 |
+
).add_to(m)
|
129 |
+
|
130 |
+
|
131 |
+
def display_google_sheet_tables():
|
132 |
+
"""Display the google sheet tables for requests and interventions"""
|
133 |
+
st.subheader("📝 **Table of requests / جدول الطلبات**")
|
134 |
+
st.markdown(
|
135 |
+
f"""<iframe src="{REQUESTS_URL}" width="100%" height="600px"></iframe>""",
|
136 |
+
unsafe_allow_html=True,
|
137 |
+
)
|
138 |
+
|
139 |
+
st.subheader("📝 **Table of interventions / جدول التدخلات**")
|
140 |
+
st.markdown(
|
141 |
+
f"""<iframe src="{INTERVENTIONS_URL}" width="100%" height="600px"></iframe>""",
|
142 |
+
unsafe_allow_html=True,
|
143 |
+
)
|
144 |
+
|
145 |
+
|
146 |
+
def id_review_submission():
|
147 |
+
"""Id review submission form"""
|
148 |
+
st.subheader("🔍 Review of requests")
|
149 |
+
st.markdown(REVIEW_TEXT)
|
150 |
+
|
151 |
+
id_to_review = st.number_input(
|
152 |
+
"Enter id / أدخل الرقم", min_value=0, max_value=len(df), value=0, step=1
|
153 |
+
)
|
154 |
+
reason_for_review = st.text_area("Explain why / أدخل سبب المراجعة")
|
155 |
+
if st.button("Submit / أرسل"):
|
156 |
+
if reason_for_review == "":
|
157 |
+
st.error("Please enter a reason / الرجاء إدخال سبب")
|
158 |
+
else:
|
159 |
+
filename = f"review_id_{id_to_review}_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.txt"
|
160 |
+
with open(filename, "w") as f:
|
161 |
+
f.write(f"id: {id_to_review}, explanation: {reason_for_review}\n")
|
162 |
+
api.upload_file(
|
163 |
+
path_or_fileobj=filename,
|
164 |
+
path_in_repo=filename,
|
165 |
+
repo_id="nt3awnou/review_requests",
|
166 |
+
repo_type="dataset",
|
167 |
+
)
|
168 |
+
st.success(
|
169 |
+
"Submitted at https://huggingface.co/datasets/nt3awnou/review_requests/ تم الإرسال"
|
170 |
+
)
|
171 |
+
|
172 |
+
|
173 |
+
# Logo and Title
|
174 |
+
st.markdown(LOGO, unsafe_allow_html=True)
|
175 |
+
st.title("Nt3awnou نتعاونو ")
|
176 |
+
st.markdown(SLOGAN, unsafe_allow_html=True)
|
177 |
+
|
178 |
+
# Language tabs
|
179 |
+
st.sidebar.title("Language / اللغة")
|
180 |
+
tab_ar, tab_en, tab_fr = st.tabs(["العربية", "English", "Français"])
|
181 |
+
|
182 |
with tab_en:
|
183 |
+
st.markdown(INTRO_TEXT_EN, unsafe_allow_html=True)
|
184 |
+
with tab_ar:
|
185 |
+
st.markdown(INTRO_TEXT_AR, unsafe_allow_html=True)
|
186 |
+
with tab_fr:
|
187 |
+
st.markdown(INTRO_TEXT_FR, unsafe_allow_html=True)
|
188 |
+
|
189 |
+
|
190 |
+
# Load data and initialize map with plugins
|
191 |
+
df = parse_gg_sheet(REQUESTS_URL)
|
192 |
+
interventions_df = parse_gg_sheet_interventions(INTERVENTIONS_URL)
|
193 |
+
m = init_map()
|
194 |
+
|
195 |
+
# Selection of requests
|
196 |
+
options = [
|
197 |
+
"إغاثة",
|
198 |
+
"مساعدة طبية",
|
199 |
+
"مأوى",
|
200 |
+
"طعام وماء",
|
201 |
+
"مخاطر (تسرب الغاز، تلف في الخدمات العامة...)",
|
202 |
+
]
|
|
|
|
|
|
|
|
|
203 |
selected_options = []
|
204 |
|
205 |
with tab_en:
|
|
|
213 |
cols = [col1, col2, col3, col4, col5]
|
214 |
|
215 |
for i, option in enumerate(options):
|
216 |
+
checked = cols[i].checkbox(HEADERS_MAPPING[option], value=True)
|
217 |
if checked:
|
218 |
selected_options.append(option)
|
219 |
|
220 |
+
df["id"] = df.index
|
221 |
+
filtered_df = df[df["ما هي احتياجاتك؟ (أضفها إذا لم يتم ذكرها)"].isin(selected_options)]
|
222 |
+
selected_headers = [HEADERS_MAPPING[request] for request in selected_options]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
223 |
|
224 |
+
# Selection of interventions
|
225 |
+
show_interventions = st.checkbox(
|
226 |
+
"Display Interventions | عرض عمليات المساعدة | Afficher les interventions",
|
227 |
+
value=True,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
228 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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if show_interventions:
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display_interventions(interventions_df, m)
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# Show requests
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show_requests(filtered_df, m)
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st_data = st_folium(m, use_container_width=True)
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# Google Sheet Tables
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display_google_sheet_tables()
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# Submit an id for review
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id_review_submission()
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# Credits
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st.markdown(
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CREDITS_TEXT,
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unsafe_allow_html=True,
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if auto_refresh:
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time.sleep(number)
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st.experimental_rerun()
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