| import gradio as gr | |
| from transformers import pipeline | |
| def convert(Sentence): | |
| model = pipeline('sentiment-analysis') | |
| result = model(Sentence) | |
| return result[0]['label'], round(result[0]['score']*100, 2) | |
| with gr.Blocks() as bls: | |
| gr.Markdown("Here is a Sentiment Analysis app") | |
| with gr.Row(): | |
| inp = gr.Textbox(label="Type your sentence here and click Run", placeholder='Example: the food delivered was stale') | |
| out1 = gr.Textbox(label="The sentiment is:") | |
| out2 = gr.Number(label='Sentiment confidence % is:') | |
| btn = gr.Button("Run") | |
| btn.click(fn=convert, inputs=inp, outputs=[out1, out2]) | |
| bls.launch() |