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Update app.py
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app.py
CHANGED
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import gradio as gr
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import random
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from pathlib import Path
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import time
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import threading
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LAST_UPDATED = "Nov 22th 2024"
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@@ -22,32 +18,17 @@ leaderboard_data = [
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def get_leaderboard():
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"""
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Retorna el leaderboard en orden descendente por
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"""
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def update_leaderboard():
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"""
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Actualiza la tabla del leaderboard.
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"""
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filtered_leaderboard = get_leaderboard()
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#
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sorted_leaderboard = sorted(filtered_leaderboard, key=lambda x: x['UTMOS'], reverse=True)
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# Asignar el rank basado en el orden por score
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for rank, model in enumerate(sorted_leaderboard):
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model['rank'] = rank + 1 # rank es la posici贸n en la lista (1-indexed)
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return [[model['rank'], model['name'], model['UTMOS'], model['WER'], model['STOI'], model['PESQ']] for model in sorted_leaderboard]
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# Funci贸n para actualizar la tabla peri贸dicamente
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def auto_update_table(leaderboard_table):
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while True:
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# Actualizar cada 10 segundos
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leaderboard_table.update(value=update_leaderboard())
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time.sleep(10) # Esperar 10 segundos antes de actualizar de nuevo
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####################################
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# Interfaz con Gradio
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####################################
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@@ -59,12 +40,14 @@ theme = gr.themes.Base(
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with gr.Blocks(theme=theme) as demo:
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gr.Markdown("# 馃弳 Leaderboard\nVote to help the community determine the best Catalan TTS models.\n")
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# Inicializa la tabla
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leaderboard_table = gr.DataFrame(
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#
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threading.Thread(target=auto_update_table, args=(leaderboard_table,), daemon=True).start()
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# Lanzar la aplicaci贸n
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demo.queue(api_open=False, default_concurrency_limit=40).launch(show_api=False)
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import gradio as gr
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LAST_UPDATED = "Nov 22th 2024"
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def get_leaderboard():
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"""
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Retorna el leaderboard en orden descendente por PESQ y luego por UTMOS.
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"""
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# Ordenar primero por PESQ (calidad del habla) y luego por UTMOS (calidad percibida)
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sorted_leaderboard = sorted(leaderboard_data, key=lambda x: (x['PESQ'], x['UTMOS']), reverse=True)
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# Asignar el rank basado en el orden por PESQ
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for rank, model in enumerate(sorted_leaderboard):
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model['rank'] = rank + 1 # rank es la posici贸n en la lista (1-indexed)
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return [[model['rank'], model['name'], model['UTMOS'], model['WER'], model['STOI'], model['PESQ']] for model in sorted_leaderboard]
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####################################
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# Interfaz con Gradio
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####################################
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with gr.Blocks(theme=theme) as demo:
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gr.Markdown("# 馃弳 Leaderboard\nVote to help the community determine the best Catalan TTS models.\n")
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# Inicializa la tabla con los datos directamente al iniciar
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leaderboard_table = gr.DataFrame(
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headers=["Rank", "Model", "UTMOS", "WER", "STOI", "PESQ"],
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datatype=["str", "str", "str", "str", "str", "str"],
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value=get_leaderboard() # Carga los datos iniciales de la tabla
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)
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# No es necesario usar hilos o actualizaci贸n autom谩tica aqu铆
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# Lanzar la aplicaci贸n
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demo.queue(api_open=False, default_concurrency_limit=40).launch(show_api=False)
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