Rename requirements.txt to app.py

app.py

@@ -0,0 +1,74 @@
+import streamlit as st
+from fer import FER
+import cv2
+import numpy as np
+import random
+
+# Example ayahs
+ayahs = {
+    "sad": [
+        {
+            "ayah": "2:286",
+            "arabic": "لَا يُكَلِّفُ اللَّهُ نَفْسًا إِلَّا وُسْعَهَا",
+            "translation": "Allah does not burden a soul beyond that it can bear.",
+            "tafsir": "Every test is within your capacity, with Allah’s help."
+        }
+    ],
+    "happy": [
+        {
+            "ayah": "94:5-6",
+            "arabic": "فَإِنَّ مَعَ الْعُسْرِ يُسْرًا إِنَّ مَعَ الْعُسْرِ يُسْرًا",
+            "translation": "Indeed, with hardship comes ease.",
+            "tafsir": "Your happiness is part of Allah’s ease."
+        }
+    ],
+    "angry": [
+        {
+            "ayah": "3:134",
+            "arabic": "وَالْكَاظِمِينَ الْغَيْظَ",
+            "translation": "Those who restrain anger...",
+            "tafsir": "Patience and controlling anger are rewarded."
+        }
+    ]
+}
+
+st.title("🌙 Qur’an Healing Soul - FER Version")
+
+uploaded_file = st.file_uploader("Upload your selfie", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    # Convert to OpenCV image
+    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
+    image = cv2.imdecode(file_bytes, 1)
+    st.image(image, channels="BGR")
+
+    # Detect emotion
+    detector = FER(mtcnn=True)
+    result = detector.top_emotion(image)
+    st.write(f"Detected: {result}")
+
+    if result is not None:
+        emotion, score = result
+        st.write(f"Dominant Emotion: **{emotion}** ({round(score*100, 2)}%)")
+
+        if emotion in ["sad", "fear"]:
+            key = "sad"
+        elif emotion in ["happy", "surprise"]:
+            key = "happy"
+        elif emotion in ["angry", "disgust"]:
+            key = "angry"
+        else:
+            key = "sad"
+
+        ayah = random.choice(ayahs[key])
+        st.markdown(f"""
+        **📖 Ayah ({ayah['ayah']})**
+
+        Arabic: *{ayah['arabic']}*
+
+        Translation: {ayah['translation']}
+
+        Tafsir: {ayah['tafsir']}
+        """)
+    else:
+        st.warning("No face detected.")