file added

app.py

@@ -76,31 +76,34 @@ def analyze_sentiment(user_input):
 
 # Function to extract medical entities from input using NER
 symptoms = [
-    "fever", "cough", "headache", "nausea", "pain", "fatigue", "dizziness",
-    "shortness of breath", "sore throat", "runny nose", "congestion", "diarrhea",
-    "vomiting", "chills", "sweating", "loss of appetite", "insomnia", 
-    "itching", "rash", "swelling", "bleeding", "burning sensation",
-    "weakness", "tingling", "numbness", "muscle cramps", "joint pain",
-    "blurred vision", "double vision", "dry eyes", "sensitivity to light",
-    "difficulty breathing", "palpitations", "chest pain", "back pain",
-    "stomach ache", "abdominal pain", "weight loss", "weight gain",
-    "frequent urination", "difficulty urinating", "anxiety", "depression",
-    "irritability", "confusion", "memory loss", "bruising"
+    "itching", "rash", "dry skin", "redness", "flaking", "cracking skin",
+    "swelling", "blisters", "bumps", "peeling skin", "skin discoloration",
+    "oozing", "burning sensation", "painful skin", "sensitivity to touch",
+    "scaling", "scarring", "ulcers", "bruising", "hives",
+    "skin thickening", "sunburn", "lesions", "warts", "pustules",
+    "hair loss", "skin darkening", "light patches", "acne", "itchy scalp",
+    "stretch marks", "skin irritation", "pigmentation", "eczema flares",
+    "seborrhea", "crusty patches", "bleeding skin", "nail discoloration",
+    "nail ridges", "skin infections", "skin fissures", "heat rash",
+    "papules", "petechiae", "skin tags"
 ]
+
 diseases = [
-    "diabetes", "cancer", "asthma", "flu", "pneumonia", "hypertension",
-    "arthritis", "bronchitis", "migraine", "stroke", "heart attack",
-    "coronary artery disease", "tuberculosis", "malaria", "dengue",
-    "hepatitis", "anemia", "thyroid disease", "eczema", "psoriasis",
-    "osteoporosis", "parkinson's", "alzheimer's", "depression",
-    "anxiety disorder", "schizophrenia", "epilepsy", "bipolar disorder",
-    "chronic kidney disease", "liver cirrhosis", "HIV", "AIDS",
-    "covid-19", "cholera", "smallpox", "measles", "mumps", 
-    "rubella", "whooping cough", "obesity", "GERD", "IBS", 
-    "celiac disease", "ulcerative colitis", "Crohn's disease", 
-    "sleep apnea", "hypothyroidism", "hyperthyroidism"
+    "eczema", "psoriasis", "acne", "rosacea", "dermatitis", "melanoma",
+    "basal cell carcinoma", "squamous cell carcinoma", "skin cancer",
+    "seborrheic dermatitis", "contact dermatitis", "urticaria",
+    "vitiligo", "alopecia areata", "tinea", "ringworm", "onychomycosis",
+    "fungal infections", "hyperpigmentation", "hypopigmentation",
+    "lichen planus", "cellulitis", "abscess", "boils", "impetigo",
+    "keratosis pilaris", "actinic keratosis", "sunburn", "cold sores",
+    "herpes simplex", "shingles", "hives", "pityriasis rosea",
+    "molluscum contagiosum", "scabies", "lupus rash", "drug eruption",
+    "dermatomyositis", "cutaneous lupus", "hidradenitis suppurativa",
+    "sebaceous cysts", "keloids", "skin ulcers", "necrotizing fasciitis",
+    "warts", "skin infections", "skin abscess", "nail psoriasis"
 ]
 
+
 def extract_medical_entities(user_input):
     logger.info("Extracting medical entities...")
     user_input = preprocess_input(user_input)