Update app.py

app.py

@@ -1,13 +1,16 @@
+import subprocess
+import sys
 
-import os
-os.system('pip install transformers torch')
-import streamlit as st
-from transformers import pipeline
+# Ensure dependencies are installed
+try:
+    import transformers
+except ImportError:
+    subprocess.run([sys.executable, "-m", "pip", "install", "transformers", "torch"])
 
 import streamlit as st
 from transformers import pipeline
 
-# Load the pre-trained model
+# Load the pre-trained model (cached for performance)
 @st.cache_resource
 def load_model():
     return pipeline('sentiment-analysis', model='cardiffnlp/twitter-roberta-base-sentiment')
@@ -19,7 +22,7 @@ def analyze_sentiment(user_input):
     result = sentiment_model(user_input)[0]
     sentiment = result['label']
     
-    if sentiment == 'NEGATIVE' or sentiment == 'NEUTRAL':
+    if sentiment in ['NEGATIVE', 'NEUTRAL']:
         return "Stay positive! 🌟 You can handle anything that comes your way."
     return "You're on the right track! Keep shining! 🌞"
 
@@ -27,7 +30,7 @@ def analyze_sentiment(user_input):
 st.title("Student Sentiment Analysis Chatbot")
 st.write("This chatbot detects your mood and provides positive or motivational messages.")
 
-# User input
+# User input section
 user_input = st.text_area("Enter your text here:")
 
 # Button to analyze sentiment
@@ -37,3 +40,4 @@ if st.button("Analyze Sentiment"):
     else:
         message = analyze_sentiment(user_input)
         st.success(message)
+