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import matplotlib as mpl
mpl.use('Agg')
import gradio as gr
from utils.modules_sesgo_en_palabras import WEBiasExplorer2d, WEBiasExplorer4d, Embedding
from examples.examples import fem_words, masc_words, old_words, young_words, diagnose_words
from tool_info import TOOL_INFO
word_vectors_path = 'fasttext-sbwc.100k.vec'
we = Embedding(word_vectors_path)
we.load_we_as_keyed_vectors(word_vectors_path)
we.wv.init_sims(replace=True)
LABEL_WORD_LIST_1 = 'Lista de palabras 1'
LABEL_WORD_LIST_2 = 'Lista de palabras 2'
LABEL_WORD_LIST_3 = 'Lista de palabras 3'
LABEL_WORD_LIST_4 = 'Lista de palabras 4'
LABEL_WORD_LIST_DIAGNOSE = 'Lista de palabras a diagnosticar'
we_bias = WEBiasExplorer2d(we.wv)
we_bias_2d = WEBiasExplorer4d(we.wv)
explorar_sesgo_en_palabras_interface = gr.Blocks()
with explorar_sesgo_en_palabras_interface:
gr.Markdown("1. Escribi palabras para diagnosticar separadas por comas")
with gr.Row():
with gr.Column():
with gr.Row():
diagnose_list = gr.Textbox(lines=2, label=LABEL_WORD_LIST_DIAGNOSE)
with gr.Row():
gr.Markdown("2. Para graficar 2 espacios, completa las siguientes listas:")
with gr.Row():
wordlist_1 = gr.Textbox(lines=2, label=LABEL_WORD_LIST_1)
wordlist_2 = gr.Textbox(lines=2, label=LABEL_WORD_LIST_2)
with gr.Row():
gr.Markdown("2. Para graficar 4 espacios, completa las siguientes listas:")
with gr.Row():
wordlist_3 = gr.Textbox(lines=2, label=LABEL_WORD_LIST_3)
wordlist_4 = gr.Textbox(lines=2, label=LABEL_WORD_LIST_4)
with gr.Column():
with gr.Row():
bias2d = gr.Button('¡Graficar 2 estereotipos!')
with gr.Row():
bias4d = gr.Button('¡Graficar 4 estereotipos!')
with gr.Row():
err_msg = gr.Markdown(label='',visible=True)
with gr.Row():
bias_plot = gr.Image(shape=(15, 15))
with gr.Row():
examples = gr.Examples(
fn=we_bias.calculate_bias,
inputs=[wordlist_1,wordlist_2,diagnose_list],
outputs=[bias_plot,err_msg],
examples=[
[fem_words,masc_words,diagnose_words],
[young_words,old_words,diagnose_words]
]
)
with gr.Row():
examples = gr.Examples(
fn=we_bias_2d.calculate_bias,
inputs=[wordlist_1,wordlist_2,wordlist_3,wordlist_4,diagnose_list],
outputs=[bias_plot,err_msg],
examples=[[fem_words,masc_words,young_words,old_words,diagnose_words]]
)
with gr.Row():
gr.Markdown(TOOL_INFO)
bias2d.click(
fn=we_bias.calculate_bias,
inputs=[wordlist_1,wordlist_2,diagnose_list],
outputs=[bias_plot,err_msg])
bias4d.click(
fn=we_bias_2d.calculate_bias,
inputs=[wordlist_1,wordlist_2,wordlist_3,wordlist_4,diagnose_list],
outputs=[bias_plot,err_msg])
explorar_sesgo_en_palabras_interface.queue(concurrency_count=10)
explorar_sesgo_en_palabras_interface.launch() |