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# Imports
import os
import torch
from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
import transformers
import gradio as gr
model_name = "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
tokenizer = AutoTokenizer.from_pretrained(model_name)
def clasificador(input1, input2):
classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",tokenizer=tokenizer)
sequence_to_classify = input1
candidate_labels = input2
output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
return output
iface = gr.Interface(
fn=clasificador,
inputs=[gr.inputs.Textbox(label="Ingrese texto"),gr.inputs.List(gr.inputs.Textbox(label="Ingrese lista de labels"))],
outputs=gr.outputs.Textbox(label="Clasificación")
)
iface.launch()
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