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Update app.py
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app.py
CHANGED
@@ -11,6 +11,10 @@ import numpy as np
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import os
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import translators.server as tss
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import psutil
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limitation = os.getenv("SYSTEM") == "spaces" # limit text and audio length in huggingface spaces
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max_len = 150
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languages = ['日本語', '简体中文', 'English']
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@@ -76,7 +80,8 @@ def infer(text, character, language, duration, noise_scale, noise_scale_w):
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return "Error: Text is too long", None
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if text_len == 0:
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return "Error: Please input text!", None
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if language == '日本語':
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pass
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elif language == '简体中文':
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@@ -91,8 +96,8 @@ def infer(text, character, language, duration, noise_scale, noise_scale_w):
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sid = torch.LongTensor([char_id])
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audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=noise_scale, noise_scale_w=noise_scale_w,
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length_scale=duration)[0][0, 0].data.cpu().float().numpy()
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show_memory_info("infer调用后")
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return (text, (22050, audio))
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if __name__ == "__main__":
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import os
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import translators.server as tss
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import psutil
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from datetime import datetime
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limitation = os.getenv("SYSTEM") == "spaces" # limit text and audio length in huggingface spaces
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max_len = 150
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languages = ['日本語', '简体中文', 'English']
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return "Error: Text is too long", None
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if text_len == 0:
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return "Error: Please input text!", None
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currentDateAndTime = datetime.now()
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show_memory_info(str(currentDateAndTime) + "infer调用前")
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if language == '日本語':
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pass
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elif language == '简体中文':
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sid = torch.LongTensor([char_id])
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audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=noise_scale, noise_scale_w=noise_scale_w,
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length_scale=duration)[0][0, 0].data.cpu().float().numpy()
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currentDateAndTime = datetime.now()
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show_memory_info(str(currentDateAndTime) + "infer调用后")
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return (text, (22050, audio))
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if __name__ == "__main__":
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