Spaces:
Runtime error
Runtime error
import gradio as gr | |
from gradio.mix import Parallel | |
description = "Poem meter detector" | |
title = "Identify the meter of the poem you are reading or writing with this performant classifier" | |
examples = [["ุณููู ูููุจู ุบูุฏุงุฉู ุณููุง ููุซุงุจุง ููุนูููู ุนููู ุงูุฌูู ุงูู ูููู ุนูุชุงุจุง"], ["ููุง ูุจู ู ู ุฐููุฑู ุญุจูุจ ูู ูุฒูู ุจุณููุทู ุงูููููู ุจููู ุงูุฏููุฎูู ูุญูููู ูู"]] | |
meter = gr.Interface.load("huggingface/Yah216/Arabic_poem_meter_3", | |
description="Meter detector", | |
examples=examples | |
) | |
qafiyah = gr.Interface.load("huggingface/Yah216/Poem_Qafiyah_Detection", | |
description="Qafiyah", | |
examples=examples | |
) | |
subject = gr.Interface.load( | |
"huggingface/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230", | |
description="Subject detector", | |
examples=examples | |
) | |
demo = gr.TabbedInterface([meter, qafiyah, subject], ["ุงูุชุนุฑู ุนูู ุงูุจุญุฑ","ุงูุชุนุฑู ุนูู ุงููุงููุฉ","ุงูุชุนุฑู ุนูู ุงูู ูุถูุน"]) | |
demo.launch() | |
#Parallel(interface1, interface2, interface3, examples = examples).launch() | |