Update app.py
Browse files
app.py
CHANGED
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@@ -4,19 +4,19 @@ import soundfile as sf
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import tempfile
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import os
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#
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model_enum = outetts.Models.VERSION_0_2_500M
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cfg = outetts.ModelConfig.auto_config(
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model=model_enum,
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backend=outetts.Backend.
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)
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# Initialize
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interface = outetts.Interface(config=cfg)
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# Preload
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default_speaker = interface.load_default_speaker("en")
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def generate_speech(text: str, speed: float, temperature: float):
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@@ -25,21 +25,19 @@ def generate_speech(text: str, speed: float, temperature: float):
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text=text,
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temperature=temperature,
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speed=speed,
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speaker=default_speaker
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)
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# Generate the
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output = interface.generate(gen_config)
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# Save the output buffer array to a temporary WAV file
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
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# output.audio contains the raw data array, output.sr handles sample rate tracking
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sf.write(temp_file.name, output.audio, output.sr)
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return temp_file.name
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# Create Gradio interface for
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demo = gr.Interface(
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fn=generate_speech,
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inputs=[
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@@ -48,7 +46,7 @@ demo = gr.Interface(
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gr.Slider(minimum=0.1, maximum=1.0, value=0.1, step=0.05, label="Temperature")
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],
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outputs=gr.Audio(label="Generated Audio", type="filepath"),
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title="OuteTTS API Endpoint"
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)
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if __name__ == "__main__":
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import tempfile
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import os
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# 1. Correct the lowercase module name 'models'
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model_enum = outetts.models.VERSION_0_2_500M
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# 2. Use the GGUF backend so the model runs fast and fits within the free CPU Space memory limits
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cfg = outetts.ModelConfig.auto_config(
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model=model_enum,
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backend=outetts.Backend.GGUF
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)
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# Initialize interface
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interface = outetts.Interface(config=cfg)
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# Preload default clean English speaker profile
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default_speaker = interface.load_default_speaker("en")
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def generate_speech(text: str, speed: float, temperature: float):
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text=text,
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temperature=temperature,
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speed=speed,
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speaker=default_speaker
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)
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# Generate the audio array
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output = interface.generate(gen_config)
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# Save the output buffer array to a temporary WAV file
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temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".wav")
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sf.write(temp_file.name, output.audio, output.sr)
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return temp_file.name
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# Create Gradio interface for UI and API usage
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demo = gr.Interface(
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fn=generate_speech,
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inputs=[
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gr.Slider(minimum=0.1, maximum=1.0, value=0.1, step=0.05, label="Temperature")
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],
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outputs=gr.Audio(label="Generated Audio", type="filepath"),
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title="OuteTTS GGUF API Endpoint"
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)
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if __name__ == "__main__":
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