Tonic commited on
Commit
d29782d
1 Parent(s): 51505df

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +5 -2
app.py CHANGED
@@ -23,6 +23,9 @@ We're **celebrating the release of the whisperspeech** at [the LAION community,
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  Input text with the language identifiers provided to create a multilingual speech. Optionally you can add an audiosample to make a voice print. Scroll down and try the api <3 Gradio.
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  """
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  # Function to parse the multilingual input text
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  def parse_multilingual_text(input_text):
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  pattern = r"<(\w+)>\s(.*?)\s(?=<\w+>|$)"
@@ -72,8 +75,8 @@ with gr.Blocks() as demo:
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  output_audio = gr.Audio(label="Generated Speech")
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  generate_button = gr.Button("Try 🌟Collabora🌬️💬📝WhisperSpeech")
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  with gr.Row():
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- text_input = gr.Textbox(label="Enter multilingual text", placeholder="e.g., <en> Hello <fr> Bonjour <es> Hola", examples=["<en> Hello, how are you? <fr> Bonjour, comment ça va?", "<de> Guten Tag <it> Buongiorno <jp> こんにちは"])
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- speaker_input = gr.Audio(label="Upload or Record Speaker Audio (optional)", sources=["upload", "microphone"], type="filepath", examples=["path/to/tonic.wav"])
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  with gr.Accordion("Available Languages and Their Tags"):
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  language_list = "\n".join([f"{lang}: {LANGUAGES[lang]}" for lang in LANGUAGES])
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  gr.Markdown(language_list)
 
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  Input text with the language identifiers provided to create a multilingual speech. Optionally you can add an audiosample to make a voice print. Scroll down and try the api <3 Gradio.
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  """
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+ # text examples=["<en> Hello, how are you? <fr> Bonjour, comment ça va?", "<de> Guten Tag <it> Buongiorno <jp> こんにちは"]
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+ # audio examples=["path/to/tonic.wav"]
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+
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  # Function to parse the multilingual input text
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  def parse_multilingual_text(input_text):
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  pattern = r"<(\w+)>\s(.*?)\s(?=<\w+>|$)"
 
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  output_audio = gr.Audio(label="Generated Speech")
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  generate_button = gr.Button("Try 🌟Collabora🌬️💬📝WhisperSpeech")
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  with gr.Row():
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+ text_input = gr.Textbox(label="Enter multilingual text", placeholder="e.g., <en> Hello <fr> Bonjour <es> Hola")
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+ speaker_input = gr.Audio(label="Upload or Record Speaker Audio (optional)", sources=["upload", "microphone"])
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  with gr.Accordion("Available Languages and Their Tags"):
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  language_list = "\n".join([f"{lang}: {LANGUAGES[lang]}" for lang in LANGUAGES])
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  gr.Markdown(language_list)