Create app.py

app.py

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+import torch
+import torchaudio
+from einops import rearrange
+from stable_audio_tools import get_pretrained_model
+from stable_audio_tools.inference.generation import generate_diffusion_cond
+
+import spaces
+
+# Download model
+model, model_config = get_pretrained_model("stabilityai/stable-audio-open-1.0")
+sample_rate = model_config["sample_rate"]
+sample_size = model_config["sample_size"]
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = model.to(device)
+
+# --- Gradio App ---
+
+def generate_music(prompt, seconds_total, bpm, genre):
+    """Generates music from a prompt using Stable Diffusion."""
+
+    # Set up text and timing conditioning
+    conditioning = [{
+        "prompt": f"{bpm} BPM {genre} {prompt}",
+        "seconds_start": 0, 
+        "seconds_total": seconds_total
+    }]
+
+    # Generate stereo audio
+    output = generate_diffusion_cond(
+        model,
+        steps=100,
+        cfg_scale=7,
+        conditioning=conditioning,
+        sample_size=sample_size,
+        sigma_min=0.3,
+        sigma_max=500,
+        sampler_type="dpmpp-3m-sde",
+        device=device
+    )
+
+    # Rearrange audio batch to a single sequence
+    output = rearrange(output, "b d n -> d (b n)")
+
+    # Peak normalize, clip, convert to int16, and save to file
+    output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
+    return output
+
+@spaces.GPU(duration=120)
+def generate_music_and_save(prompt, seconds_total, bpm, genre):
+    """Generates music, saves it to a file, and returns the file path."""
+
+    output = generate_music(prompt, seconds_total, bpm, genre)
+    filename = "output.wav"
+    torchaudio.save(filename, output, sample_rate)
+    return filename
+
+# Create Gradio interface
+iface = spaces.Interface(
+    generate_music_and_save,
+    inputs=[
+        spaces.Textbox(label="Prompt (e.g., 'upbeat drum loop')", lines=1),
+        spaces.Slider(label="Duration (seconds)", minimum=1, maximum=60, step=1),
+        spaces.Slider(label="BPM", minimum=60, maximum=200, step=1),
+        spaces.Dropdown(label="Genre", choices=["pop", "rock", "hip hop", "electronic", "classical"], value="pop")
+    ],
+    outputs=[
+        spaces.Audio(label="Generated Music")
+    ],
+    title="Stable Audio Open",
+    description="Generate music from text prompts using Stable Audio."
+)
+
+iface.launch(share=True)