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27ffa6a
1
Parent(s):
92c0935
Update app.py
Browse files
app.py
CHANGED
@@ -56,7 +56,7 @@ config = Config()
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edge_output_filename = "edge_output.mp3"
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tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
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tts_voices = [
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model_root = "weights"
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models = [
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@@ -66,20 +66,20 @@ if len(models) == 0:
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raise ValueError("No model found in `weights` folder")
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models.sort()
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-
def tts_new(text,path):
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url = "https://www.text-to-speech.cn/getSpeek.php"
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payload = {
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"user_id": str(random.randint(120100,2000000)),
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"language": "中文(普通话,简体)",
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"voice":
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"text": text,
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"role": "0",
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"style": "0",
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"styledegree": "1",
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"volume": "75",
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"predict": "0",
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"rate":
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"pitch": "0",
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"kbitrate": "audio-16khz-128kbitrate-mono-mp3",
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"silence": "",
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@@ -219,7 +219,7 @@ def tts(
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# tts_text, "-".join(tts_voice.split("-")[:-1]), rate=speed_str
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# ).save(edge_output_filename)
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# )
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tts_new(tts_text,edge_output_filename)
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t1 = time.time()
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edge_time = t1 - t0
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audio, sr = librosa.load(edge_output_filename, sr=16000, mono=True)
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@@ -347,7 +347,7 @@ with app:
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label="Edge-tts speaker (format: language-Country-Name-Gender)",
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choices=tts_voices,
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allow_custom_value=False,
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value="
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)
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speed = gr.Slider(
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minimum=-100,
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@@ -358,7 +358,7 @@ with app:
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interactive=True,
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)
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with gr.Column():
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tts_text = gr.Textbox(label="Input Text", value="
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with gr.Column():
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but0 = gr.Button("Convert", variant="primary")
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info_text = gr.Textbox(label="Output info")
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edge_output_filename = "edge_output.mp3"
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tts_voice_list = asyncio.get_event_loop().run_until_complete(edge_tts.list_voices())
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tts_voices = ['zh-CN-XiaoxiaoMultilingualNeural','zh-CN-YunyiMultilingualNeural','zh-CN-XiaoyuMultilingualNeural','zh-CN-XiaochenMultilingualNeural']
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model_root = "weights"
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models = [
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raise ValueError("No model found in `weights` folder")
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models.sort()
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def tts_new(text,path,voice='zh-CN-XiaoxiaoMultilingualNeural',rate=-8):
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url = "https://www.text-to-speech.cn/getSpeek.php"
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payload = {
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"user_id": str(random.randint(120100,2000000)),
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"language": "中文(普通话,简体)",
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"voice": voice,
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"text": text,
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"role": "0",
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"style": "0",
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"styledegree": "1",
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"volume": "75",
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"predict": "0",
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"rate": rate,
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"pitch": "0",
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"kbitrate": "audio-16khz-128kbitrate-mono-mp3",
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"silence": "",
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# tts_text, "-".join(tts_voice.split("-")[:-1]), rate=speed_str
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# ).save(edge_output_filename)
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# )
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tts_new(tts_text,edge_output_filename,tts_voice,speed)
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t1 = time.time()
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edge_time = t1 - t0
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audio, sr = librosa.load(edge_output_filename, sr=16000, mono=True)
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label="Edge-tts speaker (format: language-Country-Name-Gender)",
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choices=tts_voices,
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allow_custom_value=False,
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value="zh-CN-XiaoxiaoMultilingualNeural",
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)
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speed = gr.Slider(
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minimum=-100,
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interactive=True,
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)
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with gr.Column():
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tts_text = gr.Textbox(label="Input Text", value="很高兴见到你")
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with gr.Column():
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but0 = gr.Button("Convert", variant="primary")
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info_text = gr.Textbox(label="Output info")
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