Update app.py

app.py

@@ -5,13 +5,11 @@ from transformers import pipeline
 # Emotion classifier (use a pre-trained model from Hugging Face)
 emotion_analyzer = pipeline("text-classification", model="distilbert-base-uncased")
 
-# Question Database
+# Updated Question Database (Doctor-prescribed questions)
 questions = [
-    "How are you feeling right now?",
-    "What’s something that’s been on your mind lately?",
-    "Do you feel energized or tired at this moment?",
-    "What’s the most significant event in your day so far?",
-    "If you had to describe your mood in one word, what would it be?",
+    "How are you feeling emotionally right now?",
+    "What physical sensations or discomfort are you experiencing?",
+    "Is there something specific that's been troubling your thoughts?"
 ]
 
 # Expanded Mood States
@@ -92,7 +90,7 @@ def main():
     st.title("Mood Analysis and Suggestions")
     
     # Step 1: Display the questions
-    st.write("Answer the following 5 questions to help us understand your mood:")
+    st.write("Answer the following 3 questions to help us understand your mood:")
     responses = []
     for i, question in enumerate(questions, start=1):
         response = st.text_input(f"{i}. {question}")