Update app.py
Browse files
app.py
CHANGED
@@ -4,13 +4,16 @@ from scipy.io.wavfile import write
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import gradio as gr
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from transformers import VitsTokenizer, VitsModel, set_seed, pipeline
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from numToLez import numToLez
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# Load your fine-tuned model
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model_name = "leks-forever/vits_lez_tts" # Replace with your Hugging Face model name
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tokenizer = VitsTokenizer.from_pretrained(model_name)
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model = VitsModel.from_pretrained(model_name)
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tts_pipeline = pipeline("text-to-speech", model=model_name)
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new_sentence = '!.?'
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in_sentence = ',-.:;'
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@@ -22,7 +25,7 @@ def canonize_lez(text):
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text = text.replace(abruptive_letter+abruptive_symbol, abruptive_letter+'Ӏ')
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return text
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-
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def tts_function(input_text, speaking_rate, noise_scale, add_pauses):
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fixed_text = canonize_lez(input_text)
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if add_pauses:
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import gradio as gr
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from transformers import VitsTokenizer, VitsModel, set_seed, pipeline
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from numToLez import numToLez
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import spaces
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# Load your fine-tuned model
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model_name = "leks-forever/vits_lez_tts" # Replace with your Hugging Face model name
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tokenizer = VitsTokenizer.from_pretrained(model_name)
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model = VitsModel.from_pretrained(model_name)
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model.to("cuda")
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tts_pipeline = pipeline("text-to-speech", model=model_name)
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tts_pipeline.to("cuda")
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new_sentence = '!.?'
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in_sentence = ',-.:;'
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text = text.replace(abruptive_letter+abruptive_symbol, abruptive_letter+'Ӏ')
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return text
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@spaces.GPU()
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def tts_function(input_text, speaking_rate, noise_scale, add_pauses):
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fixed_text = canonize_lez(input_text)
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if add_pauses:
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