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flavioschneider
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3b1f0f3
1
Parent(s):
fecf0c5
feat: add gradio demo
Browse files
README.md
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---
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title:
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emoji: 🌍
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colorFrom: yellow
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colorTo: pink
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---
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title: ElevenLabs TTS
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emoji: 🌍
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colorFrom: yellow
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colorTo: pink
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app.py
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import random
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import gradio as gr
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import numpy as np
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from elevenlabs import voices, generate, set_api_key, UnauthenticatedRateLimitError
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def generate_voice(text, voice_name, model_name, api_key):
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try:
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audio = generate(text, voice=voice_name, model=model_name, api_key=api_key)
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except UnauthenticatedRateLimitError as e:
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raise gr.Error("Thanks for trying out ElevenLabs TTS! You've reached the free tier limit. Please provide an API key to continue.")
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except Exception as e:
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raise gr.Error(e)
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return (44100, np.frombuffer(audio, dtype=np.int16))
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badges = """
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<div style="display: flex">
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<span style="margin-right: 5px">
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[ ![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white) ](https://github.com/elevenlabs-python)
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</span>
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<span>
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[ ![](https://dcbadge.vercel.app/api/server/elevenlabs) ](https://discord.gg/elevenlabs)
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</span>
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</div>
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"""
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description = """
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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.
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"""
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with gr.Blocks() as block:
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gr.Markdown("# ElevenLabs TTS")
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gr.Markdown(badges)
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gr.Markdown(description)
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input_text = gr.Textbox(
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label="Input Text",
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lines=2,
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value="Hi! I'm Eleven, the worlds most advanced TTS system.",
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elem_id="input_text"
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)
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all_voices = voices()
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input_voice = gr.Dropdown(
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[ voice.name for voice in all_voices ],
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value=random.choice(all_voices).name,
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label="Voice",
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elem_id="input_voice"
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)
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input_model = gr.Radio(
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["eleven_monolingual_v1", "eleven_multilingual_v1"],
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label="Model",
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value="eleven_multilingual_v1",
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elem_id="input_model",
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)
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input_api_key = gr.Textbox(
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label="API Key (Optional)",
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lines=1,
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elem_id="input_api_key"
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)
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run_button = gr.Button(
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text="Generate Voice",
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type="button"
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)
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out_audio = gr.Audio(
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label="Generated Voice",
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type="numpy",
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elem_id="out_audio"
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)
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inputs = [input_text, input_voice, input_model, input_api_key]
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outputs = [out_audio]
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run_button.click(
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fn=generate_voice,
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inputs=inputs,
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outputs=outputs,
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queue=True
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)
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block.queue()
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block.launch()
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