app.py

import gradio as gr
from transformers import pipeline

def zero_shot_classification(text, labels):
    classifier = pipeline("zero-shot-classification", model="models/tasksource/ModernBERT-nli")
    result = classifier(text, labels)
    return {label: score for label, score in zip(result['labels'], result['scores'])}

default_text = "all cats are blue"
default_labels = ['true', 'false']

demo = gr.Interface(
    fn=zero_shot_classification,
    inputs=[
        gr.Textbox(label="Input Text", value=default_text),
        gr.Textbox(label="Possible Labels (comma-separated)", value=','.join(default_labels))
    ],
    outputs=gr.Label(label="Classification Scores"),
    title="Zero-Shot Classification",
    description="Classify a text into labels without prior training for the specific labels."
)

demo.launch()