Update app.py

app.py

@@ -1,7 +1,17 @@
 # import part
 import streamlit as st
 from transformers import pipeline
-import numpy as np  # Import numpy
+import numpy as np
+import random
+import torch
+
+# Set random seed for reproducibility
+seed = 42
+random.seed(seed)
+np.random.seed(seed)
+torch.manual_seed(seed)
+if torch.cuda.is_available():
+    torch.cuda.manual_seed_all(seed)
 
 # Initialize sentiment analysis pipeline
 sentiment_pipeline = pipeline(model="EmmaL1/CustomModel_amazon")
@@ -12,7 +22,7 @@ qa_pipeline = pipeline("question-answering", model="distilbert/distilbert-base-c
 # function part
 # text classification
 def textclassification():
-    st.title("Amazon Customer Sentiment Analysis：Ratings and Reasons")
+    st.title("Amazon Customer Sentiment Analysis: Ratings and Reasons")
     st.write("Enter a sentence to analyze its rating and reason:")
 
     user_input = st.text_input("Input your text:")