Update app.py
Browse files
app.py
CHANGED
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@@ -1,94 +1,74 @@
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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 pad_buffer(audio):
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# Pad buffer to multiple of 2 bytes
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buffer_size = len(audio)
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element_size = np.dtype(np.int16).itemsize
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if buffer_size % element_size != 0:
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audio = audio + b'\0' * (element_size - (buffer_size % element_size))
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return audio
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def generate_voice(text, voice_name):
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try:
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audio = generate(
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text[:250],
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voice=voice_name,
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model="eleven_multilingual_v2"
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)
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return (44100, np.frombuffer(pad_buffer(audio), dtype=np.int16))
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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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badges = """
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<div style="display: flex">
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[  ](https://github.com/elevenlabs/elevenlabs-python)
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</span>
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<span style="margin-right: 5px">
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[  ](https://twitter.com/elevenlabsio)
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</span>
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<span>
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[  ](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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"""
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with gr.Blocks(css="style.css", theme="NoCrypt/[email protected]"):
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gr.Markdown('[  ](https://elevenlabs.io)')
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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 (250 characters max)",
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lines=2,
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value="Hello! 你好! Hola! नमस्ते! Bonjour! こんにちは! مرحبا! 안녕하세요! Ciao! Cześć! Привіт! Γειά σας! Здравей! வணக்கம்!",
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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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[
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value="Bella",
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label="Voice",
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elem_id="input_voice"
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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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format="mp3"
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)
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inputs = [input_text, input_voice]
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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(concurrency_count=5).launch(debug=True)
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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 pad_buffer(audio):
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buffer_size = len(audio)
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element_size = np.dtype(np.int16).itemsize
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if buffer_size % element_size != 0:
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audio = audio + b'\0' * (element_size - (buffer_size % element_size))
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return audio
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def generate_voice(text, voice_name):
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try:
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audio = generate(
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text[:250],
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voice=voice_name,
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model="eleven_multilingual_v2"
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)
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return (44100, np.frombuffer(pad_buffer(audio), dtype=np.int16))
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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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badges = """
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<div style="display: flex">
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<!-- Badges hier -->
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</div>
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"""
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description = """
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<!-- Beschreibung hier -->
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"""
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with gr.Blocks(css="style.css", theme="NoCrypt/[email protected]") as block:
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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 (250 characters max)",
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lines=2,
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value="Hello! 你好! Hola! नमस्ते! Bonjour! こんにちは! مرحبا! 안녕하세요! Ciao! Cześć! Привіт! Γειά σας! Здравей! வணக்கம்!",
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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="Bella",
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label="Voice",
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elem_id="input_voice"
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)
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run_button = gr.Button()
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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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format="mp3"
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)
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inputs = [input_text, input_voice]
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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(concurrency_count=5).launch(debug=True)
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