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 gradio as gr
+import spaces
+
+# Define the function to generate audio
+@spaces.GPU()
+def generate_audio(prompt, bpm, seconds_total):
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+
+    # 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"]
+
+    model = model.to(device)
+
+    # Set up text and timing conditioning
+    conditioning = [{
+        "prompt": f"{bpm} BPM {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()
+    
+    output_path = "output.wav"
+    torchaudio.save(output_path, output, sample_rate)
+    
+    return output_path
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_audio,
+    inputs=[
+        gr.Textbox(label="Prompt", placeholder="Enter the description of the audio (e.g., tech house drum loop)"),
+        gr.Number(label="BPM", value=128),
+        gr.Number(label="Duration (seconds)", value=30)
+    ],
+    outputs=gr.Audio(label="Generated Audio"),
+    title="Stable Audio Generation",
+    description="Generate audio based on a text prompt using stable audio tools.",
+)
+
+# Launch the interface
+iface.launch()