app.py

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, model_name, api_key):
 try:
 audio = generate(
 text, 
 voice=voice_name, 
 model=model_name, 
 api_key=api_key if api_key != '' else None
 )
 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)
 return (44100, np.frombuffer(pad_buffer(audio), dtype=np.int16))

badges = """
<div style="display: flex">
<span style="margin-right: 5px"> 

[ ![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white) ](https://github.com/elevenlabs/elevenlabs-python)
 
</span>
<span style="margin-right: 5px"> 

[ ![Twitter](https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white) ](https://twitter.com/elevenlabsio)
 
</span>
<span>

[ ![](https://dcbadge.vercel.app/api/server/elevenlabs) ](https://discord.gg/elevenlabs)

</span>
</div>
"""

description = """
A demo of the world's most advanced TTS systems, made by [ElevenLabs](https://elevenlabs.io). Eleven Monolingual is designed to generate highly realistic voices in English, where Eleven Multilingual is a single model supporting multiple languages including English, German, Polish, Spanish, Italian, French, Portuguese, and Hindi. 
"""

with gr.Blocks() as block:
 gr.Markdown('[ ![ElevenLabs](https://raw.githubusercontent.com/elevenlabs/elevenlabs-python/main/LOGO.png) ](https://elevenlabs.io)')
 gr.Markdown(badges)
 gr.Markdown(description)
 
 input_text = gr.Textbox(
 label="Input Text", 
 lines=2, 
 value="Hahaha OHH MY GOD! This is SOOO funny, I-I am Eleven and-and I am a text to speech system!!",
 elem_id="input_text"
 )

 all_voices = voices() 
 input_voice = gr.Dropdown(
 [ voice.name for voice in all_voices ], 
 value="Arnold",
 label="Voice", 
 elem_id="input_voice"
 )

 input_model = gr.Radio(
 ["eleven_monolingual_v1", "eleven_multilingual_v1"],
 label="Model",
 value="eleven_monolingual_v1",
 elem_id="input_model",
 )

 input_api_key = gr.Textbox(
 label="API Key (Optional)",
 lines=1,
 elem_id="input_api_key"
 )

 run_button = gr.Button(
 text="Generate Voice", 
 type="button"
 )

 out_audio = gr.Audio(
 label="Generated Voice",
 type="numpy", 
 elem_id="out_audio"
 )
 
 inputs = [input_text, input_voice, input_model, input_api_key]
 outputs = [out_audio]
 
 run_button.click(
 fn=generate_voice, 
 inputs=inputs, 
 outputs=outputs, 
 queue=True
 )

block.queue(max_size=99, concurrency_count=1).launch(debug=True)