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import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
# Set up OpenAI API key
tokenizer = AutoTokenizer.from_pretrained("Andresmfs/st5s-es-inclusivo")
model = AutoModelForSeq2SeqLM.from_pretrained("Andresmfs/st5s-es-inclusivo")
def make_neutral(phrase):
# Define prompt for converting gendered text to neutral
input_ids = tokenizer(phrase, return_tensors="pt").input_ids
# Call the LLM to generate neutral text
outputs = model.generate(input_ids)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
iface = gr.Interface(
fn=make_neutral,
inputs="text",
outputs="text",
title="Gender-Neutralizer",
description="Enter a gendered phrase and get it converted into neutral form."
)
iface.launch() |