Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Assuming you want to use a specific model for sentiment analysis; if not, the pipeline defaults to an English model.
+# For multilingual support including Korean, you might need to specify a model that supports Korean.
+# For this example, we'll proceed with the default model for demonstration purposes.
+sentiment_analysis = pipeline("sentiment-analysis")
+
+def get_sentiment(text):
+    # Perform sentiment analysis on the input text
+    result = sentiment_analysis(text)
+    # Format the result to display it nicely
+    formatted_result = f"Label: {result[0]['label']}, Score: {result[0]['score']:.4f}"
+    return formatted_result
+
+# Define the Gradio interface
+interface = gr.Interface(
+    fn=get_sentiment,  # function to call
+    inputs=gr.inputs.Textbox(lines=2, placeholder="여기에 텍스트를 입력하세요..."),  # input component
+    outputs="text",  # output component
+    title="Text Sentiment Analysis",  # title of the interface
+    description="This app analyzes the sentiment of input text. Enter text to see if it's positive or negative."  # description
+)
+
+# Launch the Gradio app
+interface.launch()