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flavioschneider
commited on
Commit
•
5bd7020
1
Parent(s):
7779a3f
fix: buffer padding, default text
Browse files
app.py
CHANGED
@@ -3,6 +3,14 @@ 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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@@ -10,7 +18,7 @@ def generate_voice(text, voice_name, model_name, api_key):
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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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@@ -44,14 +52,14 @@ with gr.Blocks() as block:
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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="
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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=
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label="Voice",
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elem_id="input_voice"
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)
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@@ -59,7 +67,7 @@ with gr.Blocks() as block:
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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="
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elem_id="input_model",
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)
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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, 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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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(pad_buffer(audio), dtype=np.int16))
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badges = """
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<div style="display: flex">
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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="Hahaha OHH MY GOD! This is SOOO funny, I-I am Eleven and-and I am a text to speech 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="Arnold",
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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_monolingual_v1",
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elem_id="input_model",
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)
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