Update app.py

app.py

@@ -1,20 +1,11 @@
 import gradio as gr
-import transformers
 
-# Load the pre-trained sentiment analysis model
-model = transformers.pipeline("sentiment-analysis")
+from transformers import pipeline
 
-# Define the Gradio interface
-def sentiment_analysis(text):
-    result = model(text)[0]
-    label = result["label"]
-    score = result["score"]
-    return f"{label} with confidence score {score:.2f}"
+sentiment= pipeline("sentiment-analysis")
 
-iface = gr.Interface(fn=sentiment_analysis, 
-                     inputs=gr.inputs.Textbox(lines=5, label="Input text"), 
-                     outputs="text", 
-                     title="Sentiment Analysis")
-
-# Launch the Gradio interface
-iface.launch()
+def get_sentiment(input_text):
+  return sentiment(input_text)
+ 
+iface= gr.Interface(fn= get_sentiment, inputs="text", outputs= ['text'], title='Sentiment- Analysis')
+iface.launch(inline=False)