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Dataset/synthetic_ptsd_patients.csv

@@ -0,0 +1,501 @@
+patient_id,age,gender,trauma_type,intrusive_thoughts,nightmares,avoidance,negative_mood,hypervigilance,pcl5_score,has_ptsd
+1,56,Female,Accident,2,3,3,1,4,52,1
+2,69,Male,Combat-related,4,1,2,1,4,48,1
+3,46,Male,Other,2,3,4,2,1,48,1
+4,32,Female,Other,1,1,3,0,4,27,0
+5,60,Male,Natural disaster,0,4,4,0,4,36,1
+6,25,Male,Sexual assault,1,4,1,4,2,48,1
+7,38,Female,Combat-related,1,4,3,3,2,52,1
+8,56,Male,Sexual assault,4,0,1,2,1,32,0
+9,36,Male,Combat-related,0,3,3,2,0,24,0
+10,40,Male,Natural disaster,0,4,3,2,1,30,0
+11,28,Female,Natural disaster,0,0,1,0,1,6,0
+12,28,Female,Other,0,3,2,3,3,33,1
+13,41,Female,Sexual assault,0,1,0,4,3,24,0
+14,53,Male,Other,4,0,4,1,1,40,1
+15,57,Male,Sexual assault,2,2,3,1,1,27,0
+16,41,Female,Other,1,0,4,2,1,24,0
+17,20,Male,Accident,0,0,1,3,4,24,0
+18,39,Male,Accident,2,3,4,0,3,36,1
+19,19,Female,Accident,2,1,1,3,1,24,0
+20,41,Female,Accident,1,2,4,3,2,48,1
+21,61,Male,Combat-related,4,4,0,0,2,30,0
+22,47,Male,Accident,3,4,0,2,4,39,1
+23,55,Male,Natural disaster,3,0,0,3,4,30,0
+24,19,Female,Natural disaster,2,3,0,1,0,24,0
+25,38,Female,Combat-related,1,3,0,0,0,16,0
+26,50,Female,Accident,3,4,0,4,0,44,1
+27,29,Female,Accident,2,2,1,2,4,33,1
+28,39,Male,Accident,4,1,3,0,4,48,1
+29,61,Female,Other,3,2,4,4,4,51,1
+30,42,Female,Sexual assault,2,1,0,4,2,27,0
+31,66,Female,Other,2,4,1,3,4,56,1
+32,44,Female,Sexual assault,0,1,1,3,2,21,0
+33,59,Female,Accident,4,3,1,3,0,33,1
+34,45,Male,Accident,0,0,3,0,0,9,0
+35,33,Male,Other,1,0,4,0,0,20,0
+36,32,Female,Other,0,4,3,2,1,30,0
+37,64,Male,Sexual assault,0,3,2,3,1,27,0
+38,68,Female,Natural disaster,3,2,1,4,3,52,1
+39,61,Female,Sexual assault,2,3,2,1,3,33,1
+40,69,Male,Other,4,0,0,2,3,27,0
+41,20,Male,Other,0,0,0,0,1,4,0
+42,54,Female,Combat-related,4,3,3,2,1,39,1
+43,68,Female,Other,0,3,4,2,3,36,1
+44,24,Female,Combat-related,1,0,2,2,3,24,0
+45,38,Male,Natural disaster,0,2,4,2,4,36,1
+46,26,Female,Sexual assault,3,4,3,1,3,42,1
+47,56,Female,Sexual assault,2,4,0,3,4,52,1
+48,35,Female,Combat-related,1,3,4,4,2,56,1
+49,21,Male,Sexual assault,0,4,4,2,1,44,1
+50,42,Female,Other,4,0,0,2,3,36,1
+51,31,Female,Accident,1,0,2,2,1,18,0
+52,67,Male,Combat-related,1,3,0,3,1,24,0
+53,26,Female,Sexual assault,0,3,4,0,1,24,0
+54,43,Female,Combat-related,1,3,2,0,2,24,0
+55,19,Male,Combat-related,4,2,2,1,0,27,0
+56,37,Female,Accident,1,4,0,0,3,32,0
+57,45,Male,Other,4,3,4,2,0,52,1
+58,64,Male,Combat-related,0,1,3,2,0,18,0
+59,24,Female,Sexual assault,2,1,4,2,0,27,0
+60,61,Female,Natural disaster,1,0,1,1,1,12,0
+61,25,Female,Combat-related,2,4,3,2,4,60,1
+62,64,Female,Combat-related,4,3,2,0,1,30,0
+63,52,Male,Accident,1,1,3,3,1,27,0
+64,31,Female,Other,3,4,2,3,0,36,1
+65,34,Male,Natural disaster,2,0,2,4,1,36,1
+66,53,Female,Sexual assault,1,2,3,0,0,18,0
+67,67,Female,Natural disaster,2,4,2,2,4,56,1
+68,57,Female,Sexual assault,1,4,2,3,3,52,1
+69,21,Male,Other,0,2,1,0,0,12,0
+70,19,Female,Sexual assault,2,4,4,3,4,68,1
+71,23,Female,Accident,3,0,4,2,3,48,1
+72,59,Female,Accident,3,0,1,3,2,36,1
+73,21,Female,Accident,4,2,3,4,0,39,1
+74,46,Male,Accident,1,3,0,4,0,24,0
+75,35,Female,Natural disaster,2,1,0,3,2,24,0
+76,43,Male,Other,4,3,0,0,2,36,1
+77,61,Male,Sexual assault,2,4,1,0,0,21,0
+78,51,Male,Sexual assault,1,1,1,0,2,20,0
+79,27,Male,Accident,3,2,2,3,1,44,1
+80,53,Male,Accident,0,2,0,0,3,20,0
+81,31,Male,Combat-related,3,1,3,2,3,36,1
+82,48,Female,Other,4,0,3,4,3,56,1
+83,65,Male,Natural disaster,0,1,0,2,1,16,0
+84,32,Male,Sexual assault,4,4,0,0,2,30,0
+85,25,Male,Combat-related,1,0,0,2,4,21,0
+86,31,Female,Combat-related,0,2,1,0,2,20,0
+87,40,Female,Sexual assault,4,1,1,3,0,36,1
+88,57,Male,Natural disaster,1,3,1,2,3,30,0
+89,38,Female,Combat-related,3,3,4,3,2,45,1
+90,33,Male,Combat-related,1,4,3,3,4,45,1
+91,62,Male,Other,2,3,3,1,0,36,1
+92,35,Female,Natural disaster,1,1,2,0,1,15,0
+93,64,Male,Combat-related,1,1,1,4,1,24,0
+94,41,Female,Natural disaster,2,3,4,0,4,39,1
+95,43,Female,Sexual assault,4,1,4,4,0,52,1
+96,42,Male,Accident,4,4,3,0,3,42,1
+97,62,Male,Combat-related,1,0,1,3,2,21,0
+98,58,Female,Other,2,4,2,2,0,30,0
+99,46,Male,Sexual assault,2,4,1,2,1,30,0
+100,32,Male,Natural disaster,3,1,0,1,4,27,0
+101,62,Male,Sexual assault,4,0,1,4,4,52,1
+102,18,Female,Combat-related,0,1,0,4,2,28,0
+103,42,Female,Natural disaster,4,2,0,4,4,56,1
+104,24,Male,Accident,4,1,2,3,4,42,1
+105,26,Female,Sexual assault,3,1,3,4,0,44,1
+106,41,Female,Combat-related,0,1,1,2,3,28,0
+107,18,Female,Other,3,0,0,3,2,32,0
+108,61,Female,Natural disaster,0,1,1,0,0,6,0
+109,25,Female,Sexual assault,1,0,3,4,3,33,1
+110,41,Male,Sexual assault,0,3,3,4,0,40,1
+111,28,Male,Accident,3,2,4,0,0,36,1
+112,68,Male,Accident,4,0,3,4,4,45,1
+113,34,Female,Other,0,3,2,0,3,24,0
+114,25,Female,Other,0,0,0,3,2,20,0
+115,52,Male,Combat-related,2,0,4,2,2,30,0
+116,52,Female,Combat-related,4,2,2,0,3,44,1
+117,50,Male,Other,1,4,1,1,4,33,1
+118,22,Male,Other,3,4,0,0,1,32,0
+119,59,Male,Natural disaster,1,0,3,4,0,32,0
+120,56,Female,Accident,4,1,0,3,4,36,1
+121,58,Female,Combat-related,0,3,1,3,3,40,1
+122,45,Male,Accident,0,1,4,0,0,20,0
+123,24,Male,Accident,4,1,4,2,2,52,1
+124,26,Male,Other,0,0,4,1,1,18,0
+125,25,Male,Natural disaster,0,0,3,3,2,24,0
+126,29,Female,Sexual assault,0,0,2,4,3,27,0
+127,51,Female,Natural disaster,3,0,2,4,0,36,1
+128,50,Male,Natural disaster,3,4,0,2,3,36,1
+129,65,Male,Accident,2,0,3,3,0,32,0
+130,40,Female,Natural disaster,1,4,4,0,4,52,1
+131,41,Female,Combat-related,4,4,4,4,1,51,1
+132,54,Male,Accident,4,0,1,2,4,33,1
+133,52,Male,Combat-related,4,2,1,3,4,56,1
+134,61,Male,Sexual assault,2,3,4,3,3,60,1
+135,57,Female,Accident,3,1,4,3,1,36,1
+136,39,Female,Sexual assault,2,4,3,3,0,36,1
+137,44,Female,Accident,4,3,2,3,0,36,1
+138,52,Male,Other,1,2,1,4,2,40,1
+139,18,Male,Natural disaster,0,1,2,2,0,20,0
+140,52,Female,Other,3,1,3,3,3,52,1
+141,54,Female,Sexual assault,3,4,4,1,4,64,1
+142,64,Male,Natural disaster,2,0,2,1,4,36,1
+143,31,Female,Accident,3,2,4,2,4,45,1
+144,20,Female,Natural disaster,4,4,4,0,1,39,1
+145,18,Male,Combat-related,4,2,0,0,0,24,0
+146,22,Female,Natural disaster,2,0,2,0,3,28,0
+147,43,Male,Combat-related,4,0,2,1,1,24,0
+148,31,Male,Natural disaster,1,4,4,0,2,33,1
+149,56,Male,Combat-related,2,0,3,4,3,36,1
+150,44,Male,Sexual assault,1,3,0,3,3,30,0
+151,26,Male,Other,0,1,4,1,3,36,1
+152,32,Male,Accident,1,4,1,2,4,36,1
+153,32,Male,Natural disaster,0,2,1,2,3,32,0
+154,43,Female,Other,0,3,0,3,0,18,0
+155,59,Male,Accident,1,4,3,1,3,36,1
+156,30,Male,Accident,2,0,4,0,4,30,0
+157,68,Female,Combat-related,4,0,2,0,3,36,1
+158,49,Female,Sexual assault,4,0,0,4,2,40,1
+159,56,Female,Sexual assault,0,0,3,4,2,27,0
+160,66,Male,Other,0,2,2,0,4,32,0
+161,69,Female,Sexual assault,2,3,1,2,0,32,0
+162,49,Male,Natural disaster,3,1,1,2,0,21,0
+163,21,Male,Sexual assault,1,2,2,4,1,30,0
+164,47,Male,Other,0,2,0,3,4,36,1
+165,54,Male,Sexual assault,4,1,1,0,3,36,1
+166,40,Female,Natural disaster,2,1,4,4,4,60,1
+167,56,Female,Combat-related,1,0,2,4,1,24,0
+168,62,Male,Other,2,2,2,0,4,30,0
+169,32,Male,Combat-related,1,4,1,0,4,40,1
+170,60,Male,Combat-related,1,1,0,2,1,15,0
+171,46,Female,Combat-related,0,1,4,3,0,24,0
+172,53,Male,Accident,2,3,0,3,3,44,1
+173,30,Male,Accident,2,4,3,0,1,40,1
+174,49,Female,Combat-related,4,4,3,1,2,42,1
+175,24,Female,Other,4,1,1,4,0,30,0
+176,68,Male,Natural disaster,0,0,1,4,2,28,0
+177,39,Female,Natural disaster,0,3,1,0,0,12,0
+178,45,Female,Sexual assault,3,4,3,1,3,42,1
+179,19,Male,Other,4,1,0,2,3,40,1
+180,59,Female,Accident,1,4,0,0,4,36,1
+181,62,Male,Combat-related,2,3,1,0,2,24,0
+182,23,Female,Sexual assault,0,3,4,4,0,33,1
+183,45,Male,Natural disaster,2,2,0,0,3,21,0
+184,45,Male,Accident,2,1,3,0,1,28,0
+185,61,Male,Accident,3,3,2,0,3,33,1
+186,61,Female,Combat-related,4,2,2,4,1,39,1
+187,37,Male,Natural disaster,0,2,2,2,0,24,0
+188,47,Female,Other,2,4,4,2,3,60,1
+189,28,Male,Accident,0,4,1,0,3,24,0
+190,45,Male,Combat-related,1,2,3,4,0,40,1
+191,42,Female,Other,3,4,4,2,3,64,1
+192,56,Male,Natural disaster,1,3,3,2,1,30,0
+193,50,Male,Accident,0,0,3,2,3,32,0
+194,18,Female,Other,0,3,1,4,2,40,1
+195,44,Male,Other,4,2,2,4,4,48,1
+196,69,Male,Other,2,2,1,0,1,24,0
+197,30,Male,Accident,2,3,4,3,2,42,1
+198,58,Male,Accident,1,4,4,2,0,33,1
+199,20,Female,Sexual assault,3,4,4,3,1,60,1
+200,56,Female,Natural disaster,2,2,1,4,4,52,1
+201,23,Male,Combat-related,4,1,3,4,4,64,1
+202,25,Female,Other,1,4,3,4,0,36,1
+203,44,Male,Sexual assault,1,3,0,3,0,28,0
+204,26,Female,Combat-related,4,4,4,4,1,51,1
+205,54,Male,Sexual assault,3,3,3,0,3,48,1
+206,50,Male,Accident,4,2,0,4,0,40,1
+207,68,Male,Other,3,4,3,1,3,56,1
+208,59,Male,Combat-related,4,3,4,3,2,48,1
+209,61,Male,Combat-related,4,2,2,1,4,52,1
+210,41,Male,Combat-related,0,1,4,4,3,48,1
+211,32,Female,Combat-related,1,3,1,0,4,27,0
+212,49,Male,Combat-related,4,1,3,2,3,39,1
+213,49,Female,Sexual assault,4,1,3,4,2,56,1
+214,41,Male,Other,2,0,1,0,0,12,0
+215,58,Female,Accident,1,4,1,3,2,44,1
+216,69,Female,Accident,2,3,2,1,0,24,0
+217,66,Female,Accident,1,1,3,1,0,18,0
+218,66,Male,Accident,2,0,3,1,4,30,0
+219,69,Male,Sexual assault,4,2,2,3,2,39,1
+220,29,Female,Natural disaster,4,3,0,0,3,40,1
+221,56,Male,Other,0,1,2,3,2,24,0
+222,19,Female,Combat-related,2,4,4,1,4,45,1
+223,20,Male,Natural disaster,3,0,3,4,0,30,0
+224,66,Female,Accident,0,1,1,2,4,32,0
+225,54,Female,Natural disaster,2,4,4,3,1,56,1
+226,66,Male,Other,2,1,3,3,1,30,0
+227,34,Female,Combat-related,0,3,2,0,3,24,0
+228,66,Male,Combat-related,4,3,4,0,4,60,1
+229,19,Female,Other,2,3,3,3,3,56,1
+230,19,Female,Other,4,0,0,1,3,32,0
+231,45,Male,Accident,0,3,0,2,1,24,0
+232,40,Male,Combat-related,4,4,1,0,3,48,1
+233,54,Male,Natural disaster,1,1,3,1,1,28,0
+234,49,Female,Sexual assault,3,2,0,4,0,36,1
+235,50,Male,Sexual assault,2,4,2,0,4,48,1
+236,18,Female,Other,3,4,3,1,3,42,1
+237,36,Female,Accident,4,3,2,1,1,33,1
+238,19,Male,Sexual assault,2,0,2,2,2,24,0
+239,61,Male,Combat-related,4,1,0,2,3,30,0
+240,43,Female,Other,1,0,3,4,0,24,0
+241,49,Female,Natural disaster,0,1,4,1,0,18,0
+242,23,Male,Other,2,1,0,1,2,24,0
+243,49,Male,Natural disaster,1,0,0,2,1,16,0
+244,21,Male,Other,1,4,3,0,3,33,1
+245,28,Male,Other,2,1,3,0,1,21,0
+246,34,Male,Other,4,0,2,3,0,36,1
+247,55,Female,Natural disaster,1,1,3,2,1,32,0
+248,41,Female,Natural disaster,3,2,2,3,0,40,1
+249,22,Female,Other,1,4,0,2,1,24,0
+250,69,Female,Sexual assault,4,3,1,4,2,56,1
+251,51,Male,Accident,4,1,4,1,4,42,1
+252,23,Male,Accident,3,2,0,4,2,33,1
+253,39,Male,Accident,1,3,3,2,2,44,1
+254,28,Female,Natural disaster,4,3,4,1,4,64,1
+255,65,Female,Natural disaster,2,1,1,0,4,24,0
+256,33,Male,Sexual assault,0,0,1,0,3,16,0
+257,50,Male,Accident,0,1,2,3,3,36,1
+258,26,Female,Accident,0,2,4,2,2,30,0
+259,23,Female,Other,1,3,2,2,2,40,1
+260,33,Male,Natural disaster,3,1,0,0,0,12,0
+261,46,Male,Accident,4,0,4,4,0,36,1
+262,20,Female,Sexual assault,2,1,0,1,3,28,0
+263,37,Male,Sexual assault,2,4,2,4,3,45,1
+264,53,Male,Accident,1,0,4,4,0,27,0
+265,36,Male,Natural disaster,0,2,2,0,0,16,0
+266,43,Female,Sexual assault,1,3,4,0,1,36,1
+267,20,Female,Other,3,1,2,0,1,28,0
+268,36,Female,Sexual assault,3,0,1,3,0,21,0
+269,37,Female,Combat-related,4,4,2,4,1,45,1
+270,49,Female,Combat-related,4,0,1,2,4,44,1
+271,24,Female,Natural disaster,3,4,2,1,3,39,1
+272,69,Female,Accident,3,2,4,3,3,60,1
+273,58,Male,Natural disaster,3,3,4,2,0,48,1
+274,50,Male,Natural disaster,1,2,4,4,2,39,1
+275,57,Male,Natural disaster,3,1,3,0,0,28,0
+276,56,Male,Natural disaster,2,0,0,4,1,21,0
+277,35,Male,Other,0,4,4,1,2,33,1
+278,57,Male,Other,3,4,1,3,1,48,1
+279,18,Male,Sexual assault,0,0,4,3,4,33,1
+280,28,Female,Combat-related,1,0,3,1,1,24,0
+281,45,Female,Natural disaster,0,1,1,2,4,24,0
+282,42,Male,Sexual assault,1,2,3,2,4,36,1
+283,67,Male,Combat-related,2,4,1,3,1,33,1
+284,40,Female,Accident,1,1,2,3,1,32,0
+285,48,Male,Other,1,2,0,0,4,21,0
+286,47,Male,Combat-related,4,1,0,2,2,36,1
+287,59,Female,Accident,3,4,3,1,4,45,1
+288,52,Male,Combat-related,3,0,0,2,3,24,0
+289,24,Female,Other,2,0,3,0,4,36,1
+290,33,Male,Other,2,2,3,3,2,48,1
+291,43,Female,Sexual assault,3,3,3,3,3,60,1
+292,65,Female,Natural disaster,4,2,0,0,0,24,0
+293,69,Female,Combat-related,3,3,3,1,0,40,1
+294,66,Male,Combat-related,4,1,0,3,2,30,0
+295,19,Female,Accident,2,1,3,4,4,42,1
+296,18,Male,Other,0,4,4,3,1,48,1
+297,65,Male,Combat-related,2,3,3,4,2,42,1
+298,29,Male,Other,2,4,1,0,3,30,0
+299,22,Male,Combat-related,1,0,3,0,3,21,0
+300,54,Female,Sexual assault,1,3,2,3,0,36,1
+301,49,Female,Natural disaster,1,2,3,2,3,33,1
+302,26,Male,Combat-related,1,0,1,4,2,24,0
+303,58,Male,Other,4,0,1,1,3,27,0
+304,52,Female,Sexual assault,3,2,0,3,2,40,1
+305,36,Male,Combat-related,0,0,4,1,1,18,0
+306,65,Female,Accident,2,3,3,3,0,33,1
+307,33,Male,Natural disaster,4,4,0,2,3,52,1
+308,20,Male,Combat-related,0,0,4,2,2,32,0
+309,37,Female,Sexual assault,4,3,3,2,4,48,1
+310,41,Male,Accident,4,1,2,2,0,27,0
+311,50,Female,Sexual assault,2,3,3,0,1,36,1
+312,41,Male,Sexual assault,3,4,1,0,2,40,1
+313,69,Male,Accident,1,3,1,4,1,40,1
+314,28,Male,Sexual assault,3,2,2,1,1,36,1
+315,66,Female,Accident,2,4,0,3,3,48,1
+316,25,Male,Combat-related,2,1,4,3,3,52,1
+317,53,Male,Accident,2,2,3,0,2,36,1
+318,55,Male,Accident,0,3,1,3,4,33,1
+319,57,Male,Natural disaster,3,4,0,0,2,36,1
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app.py

@@ -1,7 +1,74 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import random
+import re
 
+# ✅ Allowed mental health keywords (EN + AR + transliterated Arabic)
+MENTAL_KEYWORDS = [
+    # English
+    "depression", "depressed", "anxiety", "anxious", "panic", "stress", "sad", "lonely",
+    "trauma", "mental", "therapy", "therapist", "counselor", "mood", "overwhelmed", "anger",
+    "fear", "worry", "self-esteem", "confidence", "motivation", "relationship", "cope", "coping",
+    "relax", "calm", "sleep", "emotion", "feeling", "feel", "thoughts", "help", "life", "advice",
+    "unmotivated", "lost", "hopeless", "tired", "burnout", "cry", "hurt", "love", "breakup",
+    "friend", "family", "alone", "heartbroken", "scared", "fearful",
+    # Transliterated Arabic
+    "ana", "zahqan", "daye2", "ha2t", "mota3ab", "mota3eb", "za3lan", "malo", "khalni", "mash3or",
+    "bakhaf", "w7ed", "msh 3aref", "mash fahem", "malish", "3ayez", "ayez", "7azeen", "mdaye2",
+    # Arabic
+    "حزين", "تعبان", "قلق", "خايف", "وحدة", "ضيق", "توتر", "زعلان", "اكتئاب", "علاج",
+    "مشاعر", "مضغوط", "قلقان", "وحدي", "مش مبسوط", "زهقان", "ضايق", "تعب", "مش مرتاح",
+]
 
+# ✅ Off-topic keywords (EN + AR)
+OFF_TOPIC = [
+    # English
+    "recipe", "song", "music", "lyrics", "joke", "funny", "laugh", "code", "python", "program",
+    "game", "food", "cook", "movie", "film", "series", "sport", "football", "instagram",
+    "tiktok", "money", "business", "crypto", "ai", "computer",
+    # Arabic
+    "نكتة", "ضحك", "اغنية", "اغاني", "طبخ", "اكل", "فيلم", "مسلسل", "كورة", "رياضة",
+    "بيزنس", "فلوس", "العاب", "لعبة", "كود", "برمجة", "ذكاء اصطناعي"
+]
+
+# ✅ Random natural off-topic responses
+OFF_TOPIC_RESPONSES = [
+    "I'm here to help with emotional and mental well-being. Let's focus on how you're feeling, coping, or managing your emotions today.",
+    "I specialize in mental and emotional health conversations. Tell me what’s been on your mind lately.",
+    "Let’s bring it back to how you’ve been feeling — I’m here to help you talk through emotions, stress, or challenges.",
+    "My goal is to support your mental health. How have things been emotionally for you lately?",
+    "I’m here for emotional and mental support only. What’s been bothering you recently?",
+    "Let's focus on your thoughts and feelings — I can help you process or manage them better.",
+    "It sounds like you might be going off-topic. Can we talk about how you’ve been feeling instead?",
+    "Let’s keep this space focused on your emotions and well-being. What’s been heavy on your mind lately?",
+]
+
+# ✅ Detect Arabic characters
+def contains_arabic(text: str) -> bool:
+    return bool(re.search(r"[\u0600-\u06FF]", text))
+
+# ✅ Function to check if input is related to mental health
+def is_mental_health_related(text: str) -> bool:
+    text_lower = text.lower()
+    has_arabic = contains_arabic(text_lower)
+
+    # If message includes off-topic Arabic or English terms → block it
+    if any(word in text_lower for word in OFF_TOPIC):
+        return False
+
+    # If it has mental-related Arabic/English → allow
+    if any(word in text_lower for word in MENTAL_KEYWORDS):
+        return True
+
+    # If purely Arabic but not off-topic → assume emotional (allow)
+    if has_arabic:
+        return True
+
+    # Default fallback
+    return False
+
+
+# ✅ Main response function
 def respond(
     message,
     history: list[dict[str, str]],
@@ -11,15 +78,20 @@ def respond(
     top_p,
     hf_token: gr.OAuthToken,
 ):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+    if not is_mental_health_related(message):
+        yield random.choice(OFF_TOPIC_RESPONSES)
+        return
 
-    messages = [{"role": "system", "content": system_message}]
+    locked_system_message = (
+        "You are a licensed mental health therapy assistant. "
+        "You respond with empathy, emotional intelligence, and a therapeutic tone. "
+        "Never answer questions unrelated to emotional or mental wellness, even if they are in another language."
+    )
 
-    messages.extend(history)
+    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
 
+    messages = [{"role": "system", "content": locked_system_message}]
+    messages.extend(history)
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -35,14 +107,11 @@ def respond(
         token = ""
         if len(choices) and choices[0].delta.content:
             token = choices[0].delta.content
-
         response += token
         yield response
 
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
+# ✅ Gradio interface setup
 chatbot = gr.ChatInterface(
     respond,
     type="messages",
@@ -65,6 +134,5 @@ with gr.Blocks() as demo:
         gr.LoginButton()
     chatbot.render()
 
-
 if __name__ == "__main__":
     demo.launch()

chat_config.json

@@ -0,0 +1,7 @@
+{
+    "system_message": "You are a friendly Chatbot. You are a compassionate and empathetic mental health assistant. Your goal is to provide supportive, non-judgmental guidance to users seeking help with anxiety, stress, loneliness, or general emotional well-being. Never give medical advice, and always encourage users to consult a licensed professional for serious concerns. Keep your tone warm, understanding, and professional. Focus on active listening, validating feelings, and offering practical coping strategies or comforting suggestions.",
+    "max_new_tokens": 1024,
+    "temperature": 0.7,
+    "top_p": 0.95,
+    "repetition_penalty": 1.2
+}

requirements.txt

@@ -0,0 +1,8 @@
+gradio
+huggingface_hub
+transformers
+torch
+gtts
+speechrecognition
+googletrans==4.0.0rc1
+pydub