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| import gradio as gr | |
| from transformers import pipeline | |
| # Maya1 TTS pipeline | |
| pipe = pipeline("text-to-speech", model="maya-research/maya1", device="cuda") | |
| def generate_tts(text, voice_description): | |
| # Combine text and the voice style prompt | |
| full_prompt = f"{voice_description} {text}" | |
| out = pipe(full_prompt) | |
| audio = out["audio"] | |
| # The pipeline outputs sample rate = 44100 by default | |
| return (44100, audio) | |
| # Default Torch Em voice description | |
| DEFAULT_VOICE = "<male><40yo><deep><baritone><stern><aggressive>" | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## π₯ Maya1 TTS Demo for Torch Em (GPU Required)") | |
| text = gr.Textbox( | |
| label="Text Input", | |
| value="This is Torch Em β and I'm ready to light this up.", | |
| lines=3 | |
| ) | |
| voice_desc = gr.Textbox( | |
| label="Voice Description", | |
| value=DEFAULT_VOICE, | |
| lines=2, | |
| info="Use emotion tags: <angry> <calm> <shout> <laugh> <sad> <sarcastic> etc." | |
| ) | |
| audio_out = gr.Audio(label="Generated Audio") | |
| btn = gr.Button("Generate") | |
| btn.click(fn=generate_tts, inputs=[text, voice_desc], outputs=audio_out) | |
| demo.launch() | |