Update app.py

app.py

@@ -2,6 +2,9 @@ import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 from transformers import pipeline
 
+# Set page configuration - MUST be the first command
+st.set_page_config(page_title="Emotion Detection and Well-Being Suggestions", layout="wide")
+
 # Load pre-trained model and tokenizer
 @st.cache_resource
 def load_model():
@@ -11,9 +14,6 @@ def load_model():
 
 tokenizer, model = load_model()
 
-# Set page configuration
-st.set_page_config(page_title="Emotion Detection and Well-Being Suggestions", layout="wide")
-
 # Add a background image (use your own URL or file path here)
 st.markdown(
     """
@@ -115,4 +115,3 @@ if user_input:
             st.write("[Dealing with Anxiety](https://www.helpguide.org/mental-health/anxiety/tips-for-dealing-with-anxiety)")
         elif emotion == 'surprise':
             st.write("[Managing Stress](https://www.health.harvard.edu/health-a-to-z)")
-