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Update app.py
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app.py
CHANGED
@@ -1,25 +1,19 @@
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import gradio as gr
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import os
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import random
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from pathlib import Path
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# Constants (static data version)
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####################################
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SPACE_ID = os.getenv('SPACE_ID')
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MAX_SAMPLE_TXT_LENGTH = 300
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MIN_SAMPLE_TXT_LENGTH = 10
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####################################
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# Datos est谩ticos del leaderboard
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####################################
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leaderboard_data = [
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{'name': 'StyleTTS 2', 'STOI': 0.998, 'PESQ': 3.921,
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{'name': 'Matxa-TTS', 'STOI': 0.996, 'PESQ': 3.539,
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{'name': 'Matxa-TTS-multiaccent', 'STOI': 0.996, 'PESQ': 3.415,
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{'name': 'StableTTS', 'STOI': 0.997, 'PESQ': 3.643,
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]
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####################################
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@@ -32,16 +26,12 @@ def get_leaderboard():
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"""
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return sorted(leaderboard_data, key=lambda x: x['PESQ'], reverse=True)
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def update_leaderboard(reveal):
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"""
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Actualiza la tabla del leaderboard
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resultados preliminares o no.
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"""
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filtered_leaderboard = get_leaderboard()
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# Ordenar por 'score' y asignar el rank din谩micamente
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sorted_leaderboard = sorted(filtered_leaderboard, key=lambda x: x['UTMOS'], reverse=True)
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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']
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####################################
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# Interfaz con Gradio
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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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reveal_checkbox = gr.Checkbox(label="Reveal preliminary results", value=False)
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# Inicializa la tabla sin datos, solo con encabezados
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leaderboard_table = gr.DataFrame(headers=["Rank", "Model", "UTMOS", "WER", "STOI", "PESQ"
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datatype=["str", "str", "str", "str", "str"], value=[])
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#
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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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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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####################################
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# Datos est谩ticos del leaderboard
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####################################
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leaderboard_data = [
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{'name': 'StyleTTS 2', 'STOI': 0.998, 'PESQ': 3.921, 'WER': 0.162, 'UTMOS': 3.47},
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{'name': 'Matxa-TTS', 'STOI': 0.996, 'PESQ': 3.539, 'WER': 0.179, 'UTMOS': 3.50},
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{'name': 'Matxa-TTS-multiaccent', 'STOI': 0.996, 'PESQ': 3.415, 'WER': 0.242, 'UTMOS': 2.98},
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{'name': 'StableTTS', 'STOI': 0.997, 'PESQ': 3.643, 'WER': 0.164, 'UTMOS': 2.62},
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]
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####################################
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"""
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return sorted(leaderboard_data, key=lambda x: x['PESQ'], reverse=True)
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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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# Ordenar por 'score' y asignar el rank din谩micamente
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sorted_leaderboard = sorted(filtered_leaderboard, key=lambda x: x['UTMOS'], reverse=True)
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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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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 sin datos, solo con encabezados
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leaderboard_table = gr.DataFrame(headers=["Rank", "Model", "UTMOS", "WER", "STOI", "PESQ"],
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datatype=["str", "str", "str", "str", "str", "str"], value=[])
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# Iniciar un hilo para actualizar la tabla autom谩ticamente
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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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