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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[:250], # 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) | |
| description = """ | |
| Here's a demonstration of the world's most advanced TTS systems, created by ElevenLabs. 🎉 I wanted to experiment with this amazing technology for the Italian language 🇮🇹, and I'm excited to share its capabilities with you! Eleven Multilingual V2 is a single foundational model supporting an impressive 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 to get fast access to long-form generation, voice cloning, API keys, and more! 🚀 | |
| """ | |
| with gr.Blocks() as block: | |
| gr.Markdown('[  ](https://elevenlabs.io)') | |
| gr.Markdown(description) | |
| input_text = gr.Textbox( | |
| label="Input Text (250 characters max)", | |
| lines=2, | |
| value="Ciao, mi chiamo Sab, sono un ragazzo italiano appassionato di AI e nuove tecnologie!", | |
| elem_id="input_text" | |
| ) | |
| all_voices = voices() | |
| input_voice = gr.Dropdown( | |
| [ voice.name for voice in all_voices ], | |
| value="Callum", | |
| label="Voice", | |
| elem_id="input_voice" | |
| ) | |
| run_button = gr.Button( | |
| value="Generate Voice", | |
| ) | |
| 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.launch(debug=False, show_error=True, share=True) |