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[:4000], # Limit to 250 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 = """
[ ![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white) ](https://github.com/elevenlabs/elevenlabs-python) [ ![Twitter](https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white) ](https://twitter.com/elevenlabsio) [ ![](https://dcbadge.vercel.app/api/server/elevenlabs) ](https://discord.gg/elevenlabs)
""" 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('[ ![ElevenLabs](https://user-images.githubusercontent.com/12028621/262629275-4f85c9cf-85b6-435e-ab50-5b8c7c4e9dd2.png) ](https://elevenlabs.io)') gr.Markdown(badges) gr.Markdown(description) input_text = gr.Textbox( label="Input Text (4000 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)