wowww

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import torch
+from tangoflux import TangoFluxInference
+
+# Initialize model (auto-downloads on first run)
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = TangoFluxInference(name="declare-lab/TangoFlux", device=device)
+
+def generate_audio(prompt, steps, duration):
+    audio = model.generate(prompt=prompt, steps=steps, duration=duration)
+    return 44100, audio
+
+# Gradio interface
+demo = gr.Interface(
+    fn=generate_audio,
+    inputs=[
+        gr.Textbox(lines=2, label="Prompt"),
+        gr.Slider(25, 100, value=50, step=1, label="Steps"),
+        gr.Slider(1, 30, value=10, step=1, label="Duration (s)")
+    ],
+    outputs=gr.Audio(type="numpy", label="Generated Audio"),
+    title="TangoFlux: Text-to-Audio Generation",
+    description="Generate sound effects (e.g., lightning, thunder) using TangoFlux."
+)
+
+demo.queue().launch()

requirements.txt

@@ -0,0 +1,3 @@
+tangoflux>=0.1.0
+torch
+gradio