import gradio as grfrom transformers_js_py import pipelinepipe =await pipeline("sentiment-analysis")asyncdef process(text):returnawait pipe(text)demo = gr.Interface( fn=process, inputs=gr.Textbox(value="Gradio is even cooler when it's in Quarto!"), outputs="json", flagging_mode="never",)if__name__=="__main__": demo.launch()
transformers-js-py
import gradio as gr
from transformers_js_py import pipeline
pipe = await pipeline("sentiment-analysis")
async def process(text):
return await pipe(text)
demo = gr.Interface(
fn=process,
inputs=gr.Textbox(value="Gradio is even cooler when it's in Quarto!"),
outputs="json",
flagging_mode="never",
)
if __name__ == "__main__":
demo.launch()