Create app.py

app.py

@@ -0,0 +1,67 @@
+import spaces
+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
+
+@spaces.GPU(duration=180)
+def generate_audio(prompt, duration=10, steps=50, cfg_scale=7):
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    
+    # Modell laden und zum Gerät verschieben
+    model, model_config = get_pretrained_model("stabilityai/stable-audio-open-1.0")
+    model = model.to(device)
+    
+    sample_rate = model_config["sample_rate"]
+    sample_size = model_config["sample_size"]
+
+    # Konditionierung einrichten
+    conditioning = [{
+        "prompt": prompt,
+        "seconds_start": 0,
+        "seconds_total": duration
+    }]
+
+    # Audio generieren mit anpassbaren Parametern
+    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",  # Besserer Sampler
+        device=device
+    )
+
+    # Audio-Batch in eine einzelne Sequenz umwandeln
+    output = rearrange(output, "b d n -> d (b n)")
+
+    # Peak-Normalisierung, Clipping, Konvertierung zu int16
+    output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
+
+    return output, sample_rate
+
+def generate(prompt, duration=10, steps=50, cfg_scale=7):
+    audio, sr = generate_audio(prompt, duration, steps, cfg_scale)
+    return (sr, audio.numpy())
+
+# Verbesserte Benutzeroberfläche
+iface = gr.Interface(
+    fn=generate,
+    inputs=[
+        gr.Textbox(label="Prompt", placeholder="Beschreiben Sie den gewünschten Sound..."),
+        gr.Slider(minimum=1, maximum=30, value=10, step=1, label="Dauer (Sekunden)"),
+        gr.Slider(minimum=20, maximum=100, value=50, step=5, label="Anzahl der Schritte"),
+        gr.Slider(minimum=1, maximum=15, value=7, step=0.5, label="CFG Scale"),
+    ],
+    outputs=gr.Audio(label="Generiertes Audio"),
+    title="Stable Audio Generator",
+    description="Generieren Sie Audio aus Textbeschreibungen mit Stable Audio 1.0",
+)
+
+if __name__ == "__main__":
+    iface.launch()