Update app.py

app.py

@@ -1,9 +1,11 @@
 import os
 import time
-import torch
+
 import gradio as gr
+import torch
 from transformers import AutoTokenizer
-from model import make_model, get_sentiment
+
+from model import get_sentiment, make_model
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
@@ -36,7 +38,7 @@ def predict_sentiment(text):
 
 css_str = """
     .title { 
-        font-size: 48px; 
+        font-size: 72px; 
         font-weight: bold; 
         text-align: center; 
         margin-top: 20px; 
@@ -50,7 +52,7 @@ css_str = """
 """
 
 with gr.Blocks(css=css_str) as demo:
-    gr.Markdown("<div class='title'>Sentiment Diffusion</div>")
+    gr.Markdown("<div class='title'>Sentiment Analysis</div>")
     gr.Markdown(
         "<div class='description'>Enter a sentence and see the predicted sentiment.</div>"
     )