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- app.py +2 -2
- inference-cli.py +2 -2
app.py
CHANGED
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@@ -149,10 +149,10 @@ def infer_batch(ref_audio, ref_text, gen_text_batches, exp_name, remove_silence,
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generated_waves = []
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spectrograms = []
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for i, gen_text in enumerate(progress.tqdm(gen_text_batches)):
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# Prepare the text
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if len(ref_text[-1].encode('utf-8')) == 1:
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ref_text = ref_text + " "
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text_list = [ref_text + gen_text]
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final_text_list = convert_char_to_pinyin(text_list)
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generated_waves = []
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spectrograms = []
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if len(ref_text[-1].encode('utf-8')) == 1:
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ref_text = ref_text + " "
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for i, gen_text in enumerate(progress.tqdm(gen_text_batches)):
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# Prepare the text
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text_list = [ref_text + gen_text]
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final_text_list = convert_char_to_pinyin(text_list)
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inference-cli.py
CHANGED
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@@ -241,10 +241,10 @@ def infer_batch(ref_audio, ref_text, gen_text_batches, model,ckpt_file,file_voca
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generated_waves = []
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spectrograms = []
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for i, gen_text in enumerate(tqdm.tqdm(gen_text_batches)):
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# Prepare the text
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if len(ref_text[-1].encode('utf-8')) == 1:
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ref_text = ref_text + " "
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text_list = [ref_text + gen_text]
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final_text_list = convert_char_to_pinyin(text_list)
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generated_waves = []
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spectrograms = []
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+
if len(ref_text[-1].encode('utf-8')) == 1:
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ref_text = ref_text + " "
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for i, gen_text in enumerate(tqdm.tqdm(gen_text_batches)):
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# Prepare the text
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text_list = [ref_text + gen_text]
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final_text_list = convert_char_to_pinyin(text_list)
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