app.py

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()