PHBJT ylacombe commited on
Commit
b7be49b
1 Parent(s): b4eef1e

Update app.py (#1)

Browse files

- Update app.py (5f88d6268c19f12a65d313cbf5504972a7267ded)


Co-authored-by: Yoach Lacombe <[email protected]>

Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -21,7 +21,7 @@ pipe = pipeline(
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  )
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  # Original model setup
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- repo_id = "ylacombe/p-m-e"
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  model = ParlerTTSForConditionalGeneration.from_pretrained(repo_id).to(device)
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  text_tokenizer = AutoTokenizer.from_pretrained(repo_id)
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  description_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large")
@@ -213,7 +213,7 @@ with gr.Blocks(css=css) as block:
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  gr.HTML(
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  """<p><a href="https://github.com/huggingface/parler-tts">Parler-TTS</a> is a training and inference library for
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  high-fidelity text-to-speech (TTS) models.</p>
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- <p>This multilingual model supports French, Spanish, Italian, Portuguese, Polish, German, Dutch, and English. It generates high-quality speech with features that can be controlled using a simple text prompt.</p>
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  <p>By default, Parler-TTS generates 🎲 random voice characteristics. To ensure 🎯 <b>speaker consistency</b> across generations, try to use consistent descriptions in your prompts.</p>"""
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  )
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  )
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  # Original model setup
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+ repo_id = "parler-tts/parler-tts-mini-multilingual"
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  model = ParlerTTSForConditionalGeneration.from_pretrained(repo_id).to(device)
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  text_tokenizer = AutoTokenizer.from_pretrained(repo_id)
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  description_tokenizer = AutoTokenizer.from_pretrained("google/flan-t5-large")
 
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  gr.HTML(
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  """<p><a href="https://github.com/huggingface/parler-tts">Parler-TTS</a> is a training and inference library for
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  high-fidelity text-to-speech (TTS) models.</p>
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+ <p>This <a href="https://huggingface.co/parler-tts/parler-tts-mini-multilingual">multilingual model</a> supports French, Spanish, Italian, Portuguese, Polish, German, Dutch, and English. It generates high-quality speech with features that can be controlled using a simple text prompt.</p>
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  <p>By default, Parler-TTS generates 🎲 random voice characteristics. To ensure 🎯 <b>speaker consistency</b> across generations, try to use consistent descriptions in your prompts.</p>"""
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  )
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