| import gradio as gr | |
| from transformers import pipeline | |
| classifier = pipeline("text-classification", model="SamLowe/roberta-base-go_emotions") | |
| def predict(text): | |
| return classifier(text) | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs='text', | |
| outputs='result', | |
| ) | |
| demo.launch() |