Create app.py

app.py

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+import torch
+import torchaudio
+from einops import rearrange
+
+import gradio as gr
+import spaces
+
+# Importing the model-related functions
+from stable_audio_tools import get_pretrained_model
+from stable_audio_tools.inference.generation import generate_diffusion_cond
+
+# Function to set up, generate, and process the audio
+@spaces.GPU(duration=120)  # Allocate GPU only when this function is called
+def generate_audio(prompt, seconds_total=30, steps=100, cfg_scale=7):
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    
+    # Download and set up the 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": prompt,
+        "seconds_start": 0,
+        "seconds_total": seconds_total
+    }]
+
+    # Generate stereo audio
+    output = generate_diffusion_cond(
+        model,
+        steps=steps,
+        cfg_scale=cfg_scale,
+        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
+    output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
+    
+    # Save to file
+    torchaudio.save("output.wav", output, sample_rate)
+
+    # Return the path to the generated audio file
+    return "output.wav"
+
+# Setting up the Gradio Interface
+interface = gr.Interface(
+    fn=generate_audio,
+    inputs=[
+        gr.Textbox(label="Prompt", placeholder="Enter your text prompt here"),
+        gr.Slider(0, 47, value=30, label="Duration in Seconds"),
+        gr.Slider(10, 300, value=100, step=10, label="Number of Diffusion Steps"),
+        gr.Slider(1, 15, value=7, step=0.1, label="CFG Scale")
+    ],
+    outputs=gr.Audio(type="filepath", label="Generated Audio"),
+    title="Stable Audio Generator",
+    description="Generate variable-length stereo audio at 44.1kHz from text prompts using Stable Audio Open 1.0."
+)
+
+# Launch the Interface
+interface.launch()