import gradio as gr
from transformers_js_py import pipeline
import asyncio

async def main():
    """
    Main asynchronous function to initialize the sentiment analysis pipeline and launch the Gradio interface.
    """
    try:
        sentiment_pipeline = await pipeline('sentiment-analysis')

        async def process(text):
            """
            Asynchronous function to process text and return sentiment analysis results.
            """
            try:
                result = await sentiment_pipeline(text)
                return result
            except Exception as e:
                print(f"Error processing text: {e}")
                return {"error": str(e)}

        demo = gr.Interface(fn=process, inputs="text", outputs="json", title="Sentiment Analysis")
        demo.launch()

    except Exception as e:
        print(f"Error initializing pipeline or interface: {e}")

if __name__ == "__main__":
    asyncio.run(main())