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Update app.py
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app.py
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@@ -1,6 +1,8 @@
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import re
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import ffmpy
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import asyncio
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import edge_tts
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import subprocess
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import gradio as gr
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@@ -9,6 +11,11 @@ from gradio_client import Client
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from http.client import RemoteDisconnected
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from list_dict import translates, speakers
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translate = translates
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tr = list(translate.keys())[9]
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language = translate[tr]
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@@ -44,8 +51,8 @@ def left_justified(audio):
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raise gr.Error('No start sound detected!')
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return start_justified
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def time_verify():
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audios = [
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justified = []
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time_lists = []
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@@ -134,7 +141,7 @@ def video_inputs(video, TR_LANGUAGE, LANGUAGE, SPEAKER):
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await communicate.save(text_to_speech)
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asyncio.run(amain())
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-
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ff = ffmpy.FFmpeg(
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inputs={
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text_to_speech: None
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@@ -144,6 +151,7 @@ def video_inputs(video, TR_LANGUAGE, LANGUAGE, SPEAKER):
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}
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)
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ff.run()
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if j_time > 0:
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ff = ffmpy.FFmpeg(
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inputs={
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import re
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import os
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import ffmpy
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import asyncio
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import tarfile
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import edge_tts
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import subprocess
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import gradio as gr
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from http.client import RemoteDisconnected
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from list_dict import translates, speakers
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if not os.path.exists('pretrained_models'):
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# 解压tar.gz文件
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with tarfile.open('2stems.tar.gz', 'r:gz') as tar_ref:
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tar_ref.extractall('./pretrained_models/2stems')
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translate = translates
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tr = list(translate.keys())[9]
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language = translate[tr]
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raise gr.Error('No start sound detected!')
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return start_justified
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def time_verify(vocals_audio, target_audio):
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audios = [vocals_audio, target_audio]
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justified = []
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time_lists = []
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await communicate.save(text_to_speech)
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asyncio.run(amain())
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r_time = time_verify(vocals_monorail, text_to_speech)
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ff = ffmpy.FFmpeg(
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inputs={
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text_to_speech: None
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}
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)
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ff.run()
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j_time = time_verify(vocals_monorail, output_rate_audio)
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if j_time > 0:
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ff = ffmpy.FFmpeg(
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inputs={
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