import gradio as gr | |
from transformers import pipeline | |
pipeline = pipeline(task="text-classification", model="distilbert-base-uncased-finetuned-sst-2-english") | |
def predict(text): | |
predictions = pipeline(text) | |
return {p["label"]: p["score"] for p in predictions} | |
gr.Interface( | |
predict, | |
inputs="text", | |
outputs=gr.outputs.Label(num_top_classes=5), | |
title="Text Classification", | |
).launch() |