app.py

import gradio
import json
from transformers import pipeline
from transformers import AutoTokenizer

def zero_shot_classification(data_string):
    print(data_string)
    data = json.loads(data_string)
    print(data)
    classifier = pipeline(task='zero-shot-classification', tokenizer=AutoTokenizer.from_pretrained('sileod/deberta-v3-base-tasksource-nli'), model='sileod/deberta-v3-base-tasksource-nli')

    results = classifier(data['sequence'], candidate_labels=data['candidate_labels'], hypothesis_template=data['hypothesis_template'], multi_label=data['multi_label'])
    return {results}

gradio_interface = gradio.Interface(
    fn = zero_shot_classification,
    inputs = gradio.Textbox(label="JSON Input"),
    outputs = "json"
)
gradio_interface.launch()