# Imports
import os
import torch
from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
import transformers
import gradio as gr


def image_classifier(inp):
    return {'cat': 0.3, 'dog': 0.7}

model_name = "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
tokenizer = AutoTokenizer.from_pretrained(model_name)

classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",tokenizer=tokenizer)
sequence_to_classify = "Metió 5 goles en dos minutos"
candidate_labels = ["futbol","rugby","basket","tenis","golf","automovilismo","ciclismo"]
output = classifier(sequence_to_classify, candidate_labels, multi_label=False)

demo = gr.Interface(fn=classifier, inputs=(sequence_to_classify, candidate_labels, multi_label=False), outputs="label")
demo.launch()