| import gradio as gr | |
| import numpy as np | |
| from elevenlabs import voices, generate, set_api_key, UnauthenticatedRateLimitError | |
| def pad_buffer(audio): | |
| 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): | |
| model_name = "eleven_multilingual_v1" | |
| try: | |
| audio = generate( | |
| text[:250], | |
| voice=voice_name, | |
| model=model_name | |
| ) | |
| 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(str(e)) | |
| all_voices = voices() | |
| desired_voices = ["Antonio"] | |
| filtered_voices = [voice.name for voice in all_voices if voice.name in desired_voices] | |
| input_text = gr.Textbox(label="Input Text", lines=2) | |
| input_voice = gr.Dropdown(choices=filtered_voices, default="Antonio", label="Voice") | |
| out_audio = gr.Audio(label="Generated Voice", type="numpy") | |
| iface = gr.Interface( | |
| fn=generate_voice, | |
| inputs=[input_text, input_voice], | |
| outputs=out_audio, | |
| live=True | |
| ) | |
| iface.launch() |