Update app.py

app.py

@@ -1,21 +1,26 @@
 import gradio as gr
 from transformers import pipeline
 
-# 'sentiment-analysis' 파이프라인 초기화
-sentiment = pipeline('sentiment-analysis')
+# Initialize the Hugging Face sentiment-analysis pipeline
+sentiment_model = pipeline("sentiment-analysis")
 
-# 감성 분석을 수행하는 함수 정의
+# Define the function that will use the model to predict sentiment
 def get_sentiment(text):
-    result = sentiment(text)
-    return result[0]
+    results = sentiment_model(text)
+    return results[0]["label"]
 
-# Gradio 인터페이스 정의
-interface = gr.Interface(fn=get_sentiment,
-                         inputs=gr.inputs.Textbox(lines=2, placeholder="Type your text here..."),
-                         outputs='json',
-                         title="Sentiment Analysis",
-                         description="Enter text to analyze sentiment.")
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=get_sentiment,
+    inputs=gr.inputs.Textbox(placeholder="Type your text here..."),
+    outputs="text",
+    title="Sentiment Analysis",
+    description="Input a piece of text and click the button to analyze sentiment.",
+    theme="huggingface"  # This applies Hugging Face theme to the interface
+)
 
-# Gradio 앱 실행
-if __name__ == "__main__":
-    interface.launch()
+# The interface can be launched directly in Python
+# interface.launch()
+
+# To deploy to Hugging Face Spaces, save the interface as an object called 'demo'
+demo = interface