Spaces:
Sleeping
Sleeping
File size: 9,217 Bytes
77b49bd ede0423 0e35e4f ede0423 0909872 ede0423 0909872 ede0423 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 |
import streamlit as st
from openai import OpenAI
from deepface import DeepFace
from PIL import Image
from fuzzywuzzy import process
import tempfile
import json
import os
import datetime
# ===== Streamlit App Config =====
st.set_page_config(
page_title="Shaafee - Helps You Heal",
page_icon="🕌",
layout="centered",
)
# ===== Initialize OpenAI =====
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
if not OPENAI_API_KEY:
st.error("❌ OPENAI_API_KEY not found! Please add it to your environment variables.")
st.stop()
client = OpenAI(api_key=OPENAI_API_KEY)
# ===== Session State =====
if "show_features" not in st.session_state:
st.session_state.show_features = False
# ===== Tabs =====
tabs = st.tabs([
"🏠 Home",
"📖 Qur'anic Journaling",
"📸 Emotion Detector",
"❓ Ask Qur’an",
"🌱 Healing Tracker",
"📍 Masjid Finder"
])
# ============================================================
# 🏠 HOME TAB
# ============================================================
with tabs[0]:
st.title("🕌 Shaafee")
st.subheader("_Helps You Heal_")
#st.image("https://i.imgur.com/QBtHT9U.png", width=150) # Optional logo
st.write("""
**Shaafee** is your AI-powered Islamic companion to help you heal spiritually:
- 📖 Get Qur’anic Ayah suggestions for how you feel
- 📸 Upload a selfie — detect your emotion & get an Ayah
- ❓ Ask what the Qur’an says about any topic
- 🌱 Track your spiritual healing journey
- 📍 Find Masajid near you
""")
st.info("Healing Souls Through Quran")
if st.button("Start Using Shaafee"):
st.session_state.show_features = True
# ============================================================
# OTHER TABS: Show only if show_features = True
# ============================================================
if st.session_state.show_features:
# ============================================================
# 📖 TAB 1: Qur’anic Journaling
# ============================================================
with tabs[1]:
st.header("📖 Qur'anic Journaling")
emotion = st.text_input("How are you feeling right now?")
if st.button("Get Qur’anic Guidance", key="journaling"):
if emotion.strip():
prompt = f"""
Suggest one Qur'anic Ayah in Arabic that helps someone feeling {emotion}.
Provide:
1) The Ayah in Arabic.
2) Its English translation.
3) A short, easy-to-understand tafsir.
"""
try:
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
st.subheader("📖 Suggested Qur'anic Ayah")
st.write(response.choices[0].message.content)
except Exception as e:
st.error(f"❌ Error: {e}")
else:
st.warning("Please enter how you feel.")
# ============================================================
# 📸 TAB 2: Selfie Emotion → Qur’an
# ============================================================
with tabs[2]:
st.header("📸 Emotion Recognition & Qur'anic Ayah (AI)")
uploaded_file = st.file_uploader(
"Upload your selfie:", type=["jpg", "jpeg", "png"], key="selfie"
)
if uploaded_file is not None:
img = Image.open(uploaded_file).convert("RGB")
st.image(img, caption="Uploaded Selfie", use_container_width=True)
with tempfile.NamedTemporaryFile(delete=False, suffix=".jpg") as tmp_file:
img.save(tmp_file.name)
image_path = tmp_file.name
with st.spinner("🔍 Analyzing emotion..."):
try:
result = DeepFace.analyze(
img_path=image_path, actions=["emotion"], enforce_detection=False
)
if isinstance(result, list):
dominant_emotion = result[0]["dominant_emotion"].lower()
else:
dominant_emotion = result["dominant_emotion"].lower()
st.success(f"✅ Detected Emotion: *{dominant_emotion.capitalize()}*")
if st.button("Get Qur’anic Guidance", key="selfie_ayah"):
prompt = f"""
Suggest one Qur'anic Ayah in Arabic that helps someone feeling {dominant_emotion}.
Provide:
1) The Ayah in Arabic.
2) Its English translation.
3) A short, easy-to-understand tafsir.
"""
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
st.subheader("📖 Suggested Qur'anic Ayah")
st.write(response.choices[0].message.content)
except Exception as e:
st.error(f"❌ Error: {e}")
# ============================================================
# ❓ TAB 3: Ask the Qur’an
# ============================================================
with tabs[3]:
st.header("❓ Ask the Qur’an")
topic = st.text_input("Ask your question:", placeholder="What does the Qur’an say about ____?")
if st.button("Get Qur’anic Guidance", key="askquran"):
if topic.strip():
prompt = f"""
Provide a Qur'anic Ayah in Arabic related to: {topic}.
Also provide:
1) The English translation.
2) A short tafsir/explanation.
Keep it clear and authentic.
"""
try:
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": prompt}]
)
st.subheader("📖 Qur’anic Answer")
st.write(response.choices[0].message.content)
except Exception as e:
st.error(f"❌ Error: {e}")
else:
st.warning("Please type your question.")
# ============================================================
# 🌱 TAB 4: Soul Healing Tracker
# ============================================================
with tabs[4]:
st.header("🌱 Healing Tracker")
emotion = st.selectbox(
"Which emotion/challenge are you working on?",
["Anxiety", "Sadness", "Anger", "Hopelessness", "Loneliness"]
)
goal = st.text_input("Set your spiritual goal (e.g., Recite Surah Duha every morning for 7 days):")
days = st.slider("How many days do you want to track?", 1, 30, 7)
if "progress" not in st.session_state:
st.session_state.progress = [False] * days
st.subheader("Daily Check-In")
for i in range(days):
done = st.checkbox(f"Day {i+1} completed?", value=st.session_state.progress[i], key=f"day{i}")
st.session_state.progress[i] = done
completed = sum(st.session_state.progress)
percent = int((completed / days) * 100)
st.progress(percent)
st.write(f"✅ You’ve completed {completed} of {days} days. ({percent}%)")
if percent == 100:
st.success("MashaAllah! You’ve achieved your goal. Keep going!")
elif percent >= 50:
st.info("Great work! You’re more than halfway there.")
elif percent > 0:
st.write("Good start! Keep it consistent.")
# ============================================================
# 📍 TAB 5: Masjid Finder
# ============================================================
with tabs[5]:
st.header("📍 Find Nearby Masajid")
try:
with open("masjid_data.json", "r", encoding="utf-8") as f:
masjid_data = json.load(f)
except Exception as e:
st.error(f"Could not load masjid data: {e}")
st.stop()
city = st.selectbox("Select your city:", list(masjid_data.keys()))
area_input = st.text_input("Enter your area name (e.g., 'Model Town')")
if st.button("Find Masajid"):
if area_input.strip():
areas = masjid_data[city]
best_match, score = process.extractOne(area_input.lower(), areas.keys())
if score >= 70:
st.success(f"📍 Masajid near *{best_match.title()}* in *{city.title()}*:")
for name in areas[best_match]:
st.markdown(f"- {name}")
else:
st.warning("⚠️ No close match found. Try different spelling.")
else:
st.info("Please enter an area name.")
|