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import os
from huggingface_hub import login
import torch
import torchaudio
from einops import rearrange
import gradio as gr
from stable_audio_tools import get_pretrained_model
from stable_audio_tools.inference.generation import generate_diffusion_cond
# Authenticate
token = os.getenv("HUGGINGFACE_TOKEN")
if not token:
raise RuntimeError("HUGGINGFACE_TOKEN not set")
login(token=token, add_to_git_credential=False)
# Load model
device = "cuda" if torch.cuda.is_available() else "cpu"
model, config = get_pretrained_model("stabilityai/stable-audio-open-small")
model = model.to(device)
sample_rate = config["sample_rate"]
sample_size = config["sample_size"]
# Inference function
def generate_audio(prompt):
conditioning = [{"prompt": prompt, "seconds_total": 11}]
with torch.no_grad():
output = generate_diffusion_cond(
model,
steps=8,
conditioning=conditioning,
sample_size=sample_size,
device=device
)
output = rearrange(output, "b d n -> d (b n)")
output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
path = "output.wav"
torchaudio.save(path, output, sample_rate)
return path
# 🌀 Hot Prompt Club UI
gr.Interface(
fn=generate_audio,
inputs=gr.Textbox(
label="🎤 Prompt your sonic art here",
placeholder="e.g. 'drunk driving with mario and yung lean'"
),
outputs=gr.Audio(
type="filepath",
label="🧠 Generated Audio"
),
title='🌐 Hot Prompts in Your Area: "My Husband Is Dead"',
description="Enter a fun sound idea for music art.",
examples=[
"ghosts peeing in a server room",
"tech startup boss villain entrance music",
"AI doing acid in a technofeudalist dystopia"
]
).launch() |