Update app.py

app.py

@@ -1,22 +1,16 @@
 import gradio as gr
 from transformers import pipeline
-
-# Load the sentiment-analysis pipeline
 classifier = pipeline("sentiment-analysis")
-
-# Define the function that will process input text
 def analyze_sentiment(text):
     return classifier(text)
-
-# Set up the Gradio interface with a submit button instead of clear
 interface = gr.Interface(
     fn=analyze_sentiment,
     inputs=gr.Textbox(label="Input Text", placeholder="Enter your text here..."),
-    outputs=[gr.Textbox(label="Sentiment Output")],  # Adding label to output
-    live=False,  # Set live to False, so the model runs when the "Submit" button is clicked
-    title="Sentiment Analysis",  # Optional, to give the interface a title
+    outputs=[gr.Textbox(label="Sentiment Output")],  
+    live=False, 
+    title="Sentiment Analysis", 
     description="Enter text to analyze its sentiment. The model will predict whether the sentiment is positive or negative.",
-    theme="compact"  # Optional, to make the interface look more compact
+    theme="compact" 
 )
 
 interface.launch()