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deleted file mode 100644
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diff --git a/app.py b/app.py
index adbd0e6c7c51c8a405de31e4737d8f72d809fc07..b3ec9645546412f6bc8278a291c4cbd614f22b8b 100644
--- a/app.py
+++ b/app.py
@@ -25,8 +25,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
def abs_path(dir):
global_dir = os.path.dirname(os.path.abspath(sys.argv[0]))
return(os.path.join(global_dir, dir))
-gpt_path = abs_path("MODELS/33/33.ckpt")
-sovits_path=abs_path("MODELS/33/33.pth")
+gpt_path = abs_path("MODELS/22/22.ckpt")
+sovits_path=abs_path("MODELS/22/22.pth")
cnhubert_base_path = os.environ.get("cnhubert_base_path", "pretrained_models/chinese-hubert-base")
bert_path = os.environ.get("bert_path", "pretrained_models/chinese-roberta-wwm-ext-large")
@@ -345,12 +345,15 @@ def merge_short_text_in_array(texts, threshold):
result[len(result) - 1] += text
return result
-def tprint(text):
- now=datetime.now(tz).strftime('%H:%M:%S')
- print(f'UTC+8 - {now} - ✅{text}')
def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language, how_to_cut=("Do not split"),playback_speed=1.0, volume_scale=1.0):
+ if not duration(ref_wav_path):
+ return None
+ if text == '':
+ wprint("Please enter text to generate/请输入生成文字")
+ return None
t0 = ttime()
+ gr.Warning('Generation is slower, please be patient and wait/合成比较慢,请耐心等待')
startTime=timer()
change_sovits_weights(sovits_path)
tprint(f'LOADED SoVITS Model: {sovits_path}')
@@ -372,7 +375,8 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
with torch.no_grad():
wav16k, sr = librosa.load(ref_wav_path, sr=16000)
if (wav16k.shape[0] > 160000 or wav16k.shape[0] < 48000):
- raise OSError(("参考音频在3~10秒范围外,请更换!"))
+ errinfo='参考音频在3~10秒范围外,请更换!'
+ raise OSError((errinfo))
wav16k = torch.from_numpy(wav16k)
zero_wav_torch = torch.from_numpy(zero_wav)
if is_half == True:
@@ -417,7 +421,13 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
if (text[-1] not in splits): text += "。" if text_language != "en" else "."
print(("实际输入的目标文本(每句):"), text)
phones2, word2ph2, norm_text2 = get_cleaned_text_final(text, text_language)
- bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype)
+
+ try:
+ bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype)
+ except RuntimeError as e:
+ wprint(f"⚠️The input text does not match the language/输入文本与语言不匹配: {e}")
+ return None
+
bert = torch.cat([bert1, bert2], 1)
all_phoneme_ids = torch.LongTensor(phones1 + phones2).to(device).unsqueeze(0)
@@ -447,7 +457,8 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
else:
refer = refer.to(device)
# audio = vq_model.decode(pred_semantic, all_phoneme_ids, refer).detach().cpu().numpy()[0, 0]
- audio = (
+ try:
+ audio = (
vq_model.decode(
pred_semantic, torch.LongTensor(phones2).to(device).unsqueeze(0), refer
)
@@ -455,6 +466,10 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
.cpu()
.numpy()[0, 0]
)
+ except RuntimeError as e:
+ wprint(f"⚠️The input text does not match the language/输入文本与语言不匹配: {e}")
+ return None
+
max_audio=np.abs(audio).max()
if max_audio>1:audio/=max_audio
audio_opt.append(audio)
@@ -560,6 +575,25 @@ def custom_sort_key(s):
parts = [int(part) if part.isdigit() else part for part in parts]
return parts
+def tprint(text):
+ now=datetime.now(tz).strftime('%H:%M:%S')
+ print(f'UTC+8 - {now} - ✅{text}')
+
+def wprint(text):
+ print(f'⚠️{text}')
+ gr.Warning(text)
+
+def duration(audio_file_path):
+ try:
+ audio_duration = librosa.get_duration(filename=audio_file_path)
+ if not 3 < audio_duration < 10:
+ wprint("audio is outside the range of 3-10 seconds/音频时长必须在3到10秒之间")
+ return False
+ return True
+ except FileNotFoundError:
+ wprint("Failed to obtain uploaded audio/未找到音频文件")
+ return False
+
def update_model(choice):
global gpt_path, sovits_path
model_info = models[choice]
@@ -593,7 +627,7 @@ def transcribe(voice):
tprint('Start transcribe')
task="transcribe"
if voice is None:
- print("No audio file submitted! Please upload or record an audio file before submitting your request.")
+ wprint("No audio file submitted! Please upload or record an audio file before submitting your request.")
R = pipe(voice, batch_size=8, generate_kwargs={"task": task}, return_timestamps=True,return_language=True)
text=R['text']
lang=R['chunks'][0]['language']
@@ -606,10 +640,15 @@ def transcribe(voice):
time2=timer()
tprint(f'TRANSCRIBE COMPLETE,{round(time2-time1,4)}s')
- print(f'language:{language},words:{text}')
+ tprint(f'转录结果:\n Language:{language} Text:{text}\n' )
return text,language
def clone_voice(user_voice,user_text,user_lang):
+ if not duration(user_voice):
+ return None
+ if user_text == '':
+ wprint("Please enter text to generate/请输入生成文字")
+ return None
tprint('Start clone')
time1=timer()
global gpt_path, sovits_path
@@ -679,28 +718,23 @@ with gr.Blocks(theme='remilia/Ghostly') as app:
with gr.Row():
- tone_select = gr.Radio(
+ with gr.Column(scale=2):
+ tone_select = gr.Radio(
label="Select Tone/选择语气",
choices=["tone1","tone2","tone3"],
value="tone1",
info='Tone influences the emotional expression ',scale=1)
- tone_sample=gr.Audio(label="🔊Preview tone/试听语气 ", scale=3)
-
- with gr.Row():
+
text_language = gr.Radio(
label="Select language for input text/输入的文字对应语言",
choices=["中文","English","日本語"],
value=default_language,
- info='Input text and language must match.',scale=2,
- )
- how_to_cut = gr.Dropdown(
- label=("How to split?"),
- choices=[("Do not split"), ("Split into groups of 4 sentences"), ("Split every 50 characters"),
- ("Split at CN/JP periods (。)"), ("Split at English periods (.)"), ("Split at punctuation marks"), ],
- value=("Split into groups of 4 sentences"),
- interactive=True,
- info='A suitable splitting method can achieve better generation results',scale=3
- )
+ info='Input text and language must match.',scale=1,
+ )
+
+ tone_sample=gr.Audio(label="🔊Preview tone/试听语气 ", scale=5)
+
+
with gr.Accordion(label="prpt voice", open=False,visible=False):
with gr.Row(visible=True):
inp_ref = gr.Audio(label="Reference audio", type="filepath", value=default_voice_wav, scale=3)
@@ -710,6 +744,14 @@ with gr.Blocks(theme='remilia/Ghostly') as app:
with gr.Accordion(label="Additional generation options/附加生成选项", open=False):
+ how_to_cut = gr.Dropdown(
+ label=("How to split?"),
+ choices=[("Do not split"), ("Split into groups of 4 sentences"), ("Split every 50 characters"),
+ ("Split at CN/JP periods (。)"), ("Split at English periods (.)"), ("Split at punctuation marks"), ],
+ value=("Split into groups of 4 sentences"),
+ interactive=True,
+ info='A suitable splitting method can achieve better generation results'
+ )
volume = gr.Slider(minimum=0.5, maximum=2, value=1, step=0.01, label='Volume')
speed = gr.Slider(minimum=0.5, maximum=1.5, value=1, step=0.05, label='Speed')
@@ -719,24 +761,19 @@ with gr.Blocks(theme='remilia/Ghostly') as app:
output = gr.Audio(label="💾Download it by clicking ⬇️", scale=3)
#info = gr.Textbox(label="INFO", visible=True, readonly=True, scale=1)
- gr.HTML('''
+ gr.HTML('''
+ If it generated silence, please try again./如果生成了空白声音,请重试
+
Need 3~10s audio.This involves voice-to-text conversion followed by text-to-voice conversion, so it takes longer time
需要3~10秒语音,这个会涉及语音转文字,之后再转语音,所以耗时比较久
- 🚨Custom sounds must be fully displayed before clicking the clone button; otherwise, an error will be reported.
- 一定要上面显示出自定义声音,再点击clone按钮,不然100%会报错
- 💽Recording requires microphone permissions to be enabled in your browser..录音请确保开启浏览器录音权限
-
-