Sentiment analysis step is corrected

app.py

@@ -1,17 +1,15 @@
-# gradio demo
 import gradio as gr
-from transformers import pipeline
 
-pipe = pipeline("sentiment-analysis")
+from transformers import pipeline
 
-def predict(text):
-  return pipe(text)[0]["label"]
+sentiment = pipeline("sentiment-analysis")
 
-iface = gr.Interface(
-  fn=predict,
-  inputs='text',
-  outputs='text',
-  examples=[["The movie was amazing"]]
-)
+def get_sentiment(input_text):
+    return sentiment(input_text)
 
-iface.launch()
+iface = gr.Interface(fn = get_sentiment,
+                    inputs = "text",
+                    outputs = ['text'],
+                    title = 'Sentiment Analysis',
+                    description = "Get sentiment Negative/Positive for the given input")
+iface.launch(inline = False)