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Update app.py
Browse files
app.py
CHANGED
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import streamlit as st
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st.set_page_config(
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page_title="Shaafee - Helps You Heal",
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page_icon="🕋",
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layout="centered"
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)
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#
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st.subheader("Helps You Heal")
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# Intro
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st.markdown("""
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Welcome to **Shaafee**, your AI-powered Islamic companion that helps you find comfort, guidance, and healing through the Quran and your faith.
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""")
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# Features Section
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st.header("✨ Features")
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# Feature 1
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st.markdown("""
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**📖 Quranic Verse for Your Feelings**
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Tell us how you feel — and Shaafee will find a Quranic ayah to comfort and guide you.
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""")
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# Feature 2
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st.markdown("""
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**🤳 Emotion Detection with Selfie**
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""")
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#
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**❓ Ask the Quran**
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#
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st.
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Track your spiritual healing journey with Shaafee’s personalized progress tools.
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""")
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# Feature 5
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st.markdown("""
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**🕌 Mosque Finder**
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Find mosques near you to connect with your community and strengthen your Imaan.
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""")
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# Call to Action
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st.header("🚀 Get Started")
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st.markdown("""
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Stay tuned! We are launching soon, Insha'Allah.
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Meanwhile, feel free to explore the features as we build this experience for you.
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""")
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# Footer
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st.markdown("---")
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st.markdown("Made with ❤️ for the Ummah")
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import streamlit as st
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from openai import OpenAI
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from deepface import DeepFace
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from PIL import Image
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import tempfile
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import json
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import random
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import os
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import datetime
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from fuzzywuzzy import process
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# ================== CONFIG ==================
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st.set_page_config(
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page_title="Shaafee - Helps You Heal",
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page_icon="🕋",
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layout="centered"
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)
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# ================== OpenAI CLIENT ==================
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client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
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# ================== Load Local Ayahs JSON ==================
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with open("ayahs.json", "r", encoding="utf-8") as f:
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ayah_data = json.load(f)
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# ================== Masjid Data ==================
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# Put your full masjid_data here (as you shared)
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masjid_data = {
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# truncated for brevity — use your full dictionary here
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}
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# ================== TABS ==================
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st.title("🕋 Shaafee")
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st.subheader("Helps You Heal")
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tabs = st.tabs([
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"🏠 Home",
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"📖 Qur'anic Journaling",
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"🤳 Emotion Detection",
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"❓ Ask the Qur’an",
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"🌙 Healing Tracker",
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"🕌 Masjid Finder"
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])
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# ================== HOME ==================
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with tabs[0]:
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st.markdown("""
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Welcome to **Shaafee**, your AI-powered Islamic companion for comfort, guidance, and healing through the Qur’an and your faith.
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""")
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st.header("✨ Features")
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st.markdown("""
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**📖 Quranic Journaling** — Describe how you feel, and get a Quranic ayah for comfort.
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**🤳 Emotion Detection** — Upload a selfie to detect your emotion and receive an ayah.
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**❓ Ask the Qur’an** — Ask any question and see what the Qur’an says.
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**🌙 Healing Tracker** — Track your spiritual goals and healing progress.
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**🕌 Masjid Finder** — Find nearby mosques in your city.
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""")
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st.header("🚀 Get Started")
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st.markdown("""
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Stay tuned! We are launching soon, Insha'Allah.
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""")
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st.markdown("---")
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st.markdown("Made with ❤️ for the Ummah")
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# ================== QURANIC JOURNALING ==================
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with tabs[1]:
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st.header("📖 Qur'anic Journaling")
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emotion = st.text_input("How are you feeling right now?")
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if st.button("Get Qur'anic Guidance", key="journaling"):
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if emotion.strip():
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prompt = f"""
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Suggest one Qur'anic Ayah in Arabic that helps someone feeling {emotion}.
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Provide:
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1) The Ayah in Arabic
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2) Its English translation
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3) A short, easy-to-understand tafsir.
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"""
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "user", "content": prompt}]
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)
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output = response.choices[0].message.content
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st.subheader("Qur'anic Guidance")
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st.write(output)
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else:
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st.warning("Please enter how you feel.")
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# ================== EMOTION DETECTION ==================
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with tabs[2]:
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st.header("🤳 Emotion Detection & Quranic Ayah")
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uploaded_file = st.file_uploader(
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"Upload your selfie...", type=["jpg", "jpeg", "png"]
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)
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if uploaded_file is not None:
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img = Image.open(uploaded_file).convert("RGB")
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st.image(img, caption="Uploaded Selfie", use_container_width=True)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp_file:
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img.save(tmp_file.name)
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image_path = tmp_file.name
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with st.spinner("Analyzing emotion..."):
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result = DeepFace.analyze(
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img_path=image_path,
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actions=["emotion"],
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enforce_detection=False
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)
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if isinstance(result, list):
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dominant_emotion = result[0]["dominant_emotion"].lower()
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else:
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dominant_emotion = result["dominant_emotion"].lower()
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st.success(f"Detected Emotion: *{dominant_emotion.capitalize()}*")
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ayahs_for_emotion = ayah_data.get(dominant_emotion)
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if ayahs_for_emotion:
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selected_ayah = random.choice(ayahs_for_emotion)
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st.header("📖 Suggested Quranic Ayah")
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st.markdown(f"*Ayah (Arabic):* {selected_ayah['ayah_arabic']}")
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st.markdown(f"*Surah & Ayah:* {selected_ayah['surah_ayah']}")
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st.markdown(f"*Translation:* {selected_ayah['translation']}")
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st.markdown(f"*Tafsir:* {selected_ayah['tafsir']}")
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else:
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st.warning(
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f"❌ No Ayahs found for *{dominant_emotion}*. "
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f"Please add more to ayahs.json!"
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)
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st.info("💡 Uses only local, verified Ayahs for accuracy.")
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# ================== ASK THE QURAN ==================
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with tabs[3]:
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st.header("❓ Ask the Qur’an")
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topic = st.text_input(
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"Ask your question:",
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placeholder="What does the Qur’an say about ____?"
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)
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if st.button("Get Qur’anic Guidance", key="ask_quran"):
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if topic.strip():
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prompt = f"""
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Provide a Qur'anic ayah in Arabic related to: {topic}.
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Also provide:
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1) The English translation
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2) A short tafsir/explanation that is easy to understand.
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Keep it concise.
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"""
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try:
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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messages=[{"role": "user", "content": prompt}]
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)
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output = response.choices[0].message.content
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st.subheader("Qur’anic Guidance")
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st.write(output)
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except Exception as e:
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st.error(f"Error: {e}")
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else:
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st.warning("Please type your question.")
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# ================== HEALING TRACKER ==================
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with tabs[4]:
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st.header("🌙 Soul Healing Tracker")
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emotion = st.selectbox(
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"Which emotion or challenge are you working on?",
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["Anxiety", "Sadness", "Anger", "Hopelessness", "Loneliness"]
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)
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goal = st.text_input(
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"Set your healing goal (e.g., Recite Surah Duha every morning for 7 days):"
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)
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days = st.slider("How many days do you want to track?", 1, 30, 7)
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if "progress" not in st.session_state:
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st.session_state.progress = [False] * days
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st.subheader("Daily Check-In")
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for i in range(days):
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done = st.checkbox(
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f"Day {i+1} completed?", value=st.session_state.progress[i], key=f"day{i}"
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)
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st.session_state.progress[i] = done
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completed = sum(st.session_state.progress)
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percent = int((completed / days) * 100)
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st.progress(percent)
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st.write(f"✅ You’ve completed {completed} out of {days} days. ({percent}% done)")
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if percent == 100:
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st.success("MashaAllah! You’ve achieved your goal. Keep going!")
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elif percent >= 50:
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st.info("Great work! You’re more than halfway there.")
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elif percent > 0:
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st.write("Good start! Keep it consistent.")
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# ================== MASJID FINDER ==================
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with tabs[5]:
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st.header("🕌 Find a Masjid Near You")
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city = st.selectbox(
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"Select your city:",
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["lahore", "islamabad", "karachi"]
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)
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| 229 |
+
locality = st.text_input(
|
| 230 |
+
"Enter your area/locality:",
|
| 231 |
+
placeholder="e.g., Model Town, G-6, DHA"
|
| 232 |
+
)
|
| 233 |
+
|
| 234 |
+
if st.button("Find Masajid"):
|
| 235 |
+
locations = masjid_data.get(city, {})
|
| 236 |
+
if not locations:
|
| 237 |
+
st.warning("❌ No masjid data for this city.")
|
| 238 |
+
else:
|
| 239 |
+
best_match, score = process.extractOne(locality.strip().lower(), locations.keys())
|
| 240 |
+
|
| 241 |
+
if score >= 70:
|
| 242 |
+
st.success(f"📍 Masajid near '{best_match.title()}':")
|
| 243 |
+
for name in locations[best_match]:
|
| 244 |
+
st.write(f"- {name}")
|
| 245 |
+
else:
|
| 246 |
+
st.warning("⚠ No close match found. Try again with a different area.")
|