Update app.py

app.py

@@ -31,8 +31,6 @@
 # # Launch the interface
 # interface.launch()
 
-
-
 import gradio as gr
 from transformers import RobertaForSequenceClassification, RobertaTokenizer
 import torch
@@ -74,18 +72,17 @@ css = """
 """
 
 # Create a Gradio interface
-interface = gr.Interface(
-    fn=predict_sentiment,
-    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter a review...", label="Review Text"),
-    outputs=gr.outputs.Textbox(label="Sentiment"),
-    title="Reviews Sentiment Analysis with RoBERTa",
-    description="Analyze the sentiment of reviews using a fine-tuned RoBERTa model. Enter a review to see if it is positive or negative.",
-    theme="default",
-    css=css,
-    examples=[["This product is great!"], ["I am very disappointed with this purchase."]],
-    allow_flagging="never"
-)
+with gr.Blocks(css=css) as demo:
+    gr.Markdown("# Sentiment Analysis with RoBERTa")
+    gr.Markdown("Analyze the sentiment of Amazon reviews using a fine-tuned RoBERTa model. Enter a review to see if it is positive or negative. **LABEL_1 = Positive** and **LABEL_0 = Negative**.")
+    
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(lines=5, placeholder="Enter a review...", label="Review Text")
+            submit_btn = gr.Button("Analyze")
+        with gr.Column():
+            output_text = gr.Textbox(label="Sentiment")
 
+    submit_btn.click(predict_sentiment, inputs=input_text, outputs=output_text)
 
-# Launch the interface
-interface.launch()
+demo.launch()