Spaces:
Sleeping
Sleeping
Add SFX model support with model selector
Browse files
app.py
CHANGED
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@@ -14,7 +14,6 @@ if hf_token:
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# Required for ZeroGPU Spaces - must have at least one @spaces.GPU function
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# This is a minimal startup check that uses negligible quota
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@spaces.GPU(duration=1)
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def _gpu_startup_check():
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return "GPU check passed"
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@@ -24,18 +23,29 @@ def _gpu_startup_check():
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_gpu_startup_check()
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#
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model = StableAudioModel.from_pretrained(
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"small-music",
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device="cpu"
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)
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print("Model loaded successfully!")
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@spaces.GPU(duration=1)
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def
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audio = model.generate(
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prompt=prompt,
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@@ -57,14 +67,19 @@ def generate_audio(prompt, duration, steps, cfg_scale, seed):
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with gr.Blocks(title="Stable Audio 3 Small") as demo:
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gr.Markdown("# 🎵 Stable Audio 3 Small - Music Generation")
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gr.Markdown("Generate music using Stability AI's Stable Audio 3 Small
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(
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label="Prompt",
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placeholder="Describe the music you want to generate...",
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lines=2
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)
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duration = gr.Slider(
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btn.click(
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fn=generate_audio,
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inputs=[prompt, duration, steps, cfg_scale, seed],
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outputs=audio_output
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)
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# Required for ZeroGPU Spaces - must have at least one @spaces.GPU function
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@spaces.GPU(duration=1)
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def _gpu_startup_check():
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return "GPU check passed"
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_gpu_startup_check()
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# Model cache
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MODEL_CACHE = {}
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@spaces.GPU(duration=1)
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def load_model(model_name):
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"""Load model on demand and cache it."""
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if model_name not in MODEL_CACHE:
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print(f"Loading {model_name} model...")
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model = StableAudioModel.from_pretrained(
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model_name,
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device="cpu"
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)
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MODEL_CACHE[model_name] = model
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print(f"{model_name} loaded successfully!")
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return MODEL_CACHE[model_name]
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@spaces.GPU(duration=1)
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def generate_audio(prompt, duration, steps, cfg_scale, seed, model_name):
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print(f"Generating with {model_name}: prompt='{prompt}', duration={duration}s, steps={steps}, cfg={cfg_scale}, seed={seed}")
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model = load_model(model_name)
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audio = model.generate(
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prompt=prompt,
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with gr.Blocks(title="Stable Audio 3 Small") as demo:
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gr.Markdown("# 🎵 Stable Audio 3 Small - Music & SFX Generation")
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gr.Markdown("Generate music and sound effects using Stability AI's Stable Audio 3 Small models. Runs on CPU.")
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with gr.Row():
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with gr.Column():
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model_name = gr.Dropdown(
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choices=["stabilityai/stable-audio-3-small-music", "stabilityai/stable-audio-3-small-sfx"],
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value="stabilityai/stable-audio-3-small-music",
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label="Model"
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)
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prompt = gr.Textbox(
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label="Prompt",
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placeholder="Describe the music or sound effect you want to generate...",
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lines=2
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)
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duration = gr.Slider(
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btn.click(
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fn=generate_audio,
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inputs=[prompt, duration, steps, cfg_scale, seed, model_name],
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outputs=audio_output
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)
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