app.py
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app.py
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import gradio as gr
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from transformers import AutoProcessor, AudioSpectrogramPipeline
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import soundfile as sf
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import tempfile
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# โหลดโมเดลและ processor
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processor = AutoProcessor.from_pretrained("stabilityai/stable-audio-open-small")
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pipeline = AudioSpectrogramPipeline.from_pretrained("stabilityai/stable-audio-open-small")
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def generate_audio(prompt):
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result = pipeline(prompt=prompt, num_inference_steps=50)
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audio = result["audio"]
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sr = result["sampling_rate"]
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# บันทึกไฟล์ชั่วคราวเพื่อให้ Gradio เล่นได้
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as f:
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sf.write(f.name, audio, sr)
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return f.name
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# สร้าง UI
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demo = gr.Interface(
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fn=generate_audio,
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inputs=gr.Textbox(label="Prompt (in English)", placeholder="e.g. A lo-fi beat with rain sounds"),
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outputs=gr.Audio(label="Generated Audio"),
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title="🎵 Stable Audio - Text to Sound",
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description="Generate short sound clips from text using `stabilityai/stable-audio-open-small`"
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)
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demo.launch()
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