app.py

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()