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| import random | |
| import gradio as gr | |
| import numpy as np | |
| from elevenlabs import voices, generate, set_api_key, UnauthenticatedRateLimitError | |
| def pad_buffer(audio): | |
| # Pad buffer to multiple of 2 bytes | |
| buffer_size = len(audio) | |
| element_size = np.dtype(np.int16).itemsize | |
| if buffer_size % element_size != 0: | |
| audio = audio + b'\0' * (element_size - (buffer_size % element_size)) | |
| return audio | |
| def generate_voice(text, voice_name): | |
| try: | |
| audio = generate( | |
| text[:10000], # Limit to 10000 characters | |
| voice=voice_name, | |
| model="eleven_multilingual_v2" | |
| ) | |
| return (44100, np.frombuffer(pad_buffer(audio), dtype=np.int16)) | |
| except UnauthenticatedRateLimitError as e: | |
| raise gr.Error("Thanks for trying out ElevenLabs TTS! You've reached the free tier limit. Please provide an API key to continue.") | |
| except Exception as e: | |
| raise gr.Error(e) | |
| badges = """ | |
| <div style="display: flex"> | |
| <span style="margin-right: 5px"> | |
| [  ](https://github.com/elevenlabs/elevenlabs-python) | |
| </span> | |
| <span style="margin-right: 5px"> | |
| [  ](https://twitter.com/elevenlabsio) | |
| </span> | |
| <span> | |
| [  ](https://discord.gg/elevenlabs) | |
| </span> | |
| </div> | |
| """ | |
| description = """ | |
| A demo of the world's most advanced TTS systems, made by [ElevenLabs](https://elevenlabs.io). Eleven Multilingual V2 is a single foundational model supporting 28 languages including: English, Chinese, Spanish, Hindi, Portuguese, French, German, Japanese, Arabic, Korean, Indonesian, Italian, Dutch, Turkish, Polish, Swedish, Filipino, Malay, Romanian, Ukrainian, Greek, Czech, Danish, Finnish, Bulgarian, Croatian, Slovak, and Tamil. Sign up on [ElevenLabs](https://elevenlabs.io) to get fast access, long-form generation, voice cloning, API keys, and more! | |
| """ | |
| with gr.Blocks() as block: | |
| gr.Markdown('[  ](https://elevenlabs.io)') | |
| gr.Markdown(badges) | |
| gr.Markdown(description) | |
| input_text = gr.Textbox( | |
| label="Input Text (10000 characters max)", | |
| lines=2, | |
| value="Hello! 你好! Hola! नमस्ते! Bonjour! こんにちは! مرحبا! 안녕하세요! Ciao! Cześć! Привіт! Γειά σας! Здравей! வணக்கம்!", | |
| elem_id="input_text" | |
| ) | |
| all_voices = voices() | |
| input_voice = gr.Dropdown( | |
| [ voice.name for voice in all_voices ], | |
| value="Bella", | |
| label="Voice", | |
| elem_id="input_voice" | |
| ) | |
| run_button = gr.Button( | |
| text="Generate Voice", | |
| type="button" | |
| ) | |
| out_audio = gr.Audio( | |
| label="Generated Voice", | |
| type="numpy", | |
| elem_id="out_audio", | |
| format="mp3" | |
| ) | |
| inputs = [input_text, input_voice] | |
| outputs = [out_audio] | |
| run_button.click( | |
| fn=generate_voice, | |
| inputs=inputs, | |
| outputs=outputs, | |
| queue=True | |
| ) | |
| block.queue(concurrency_count=5).launch(debug=True) |