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Update app.py
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app.py
CHANGED
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@@ -18,29 +18,34 @@ login(HUGGINGFACE_TOKEN)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# Load the StableAudio model from Hugging Face Hub
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pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch_dtype)
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pipe = pipe.to(device)
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# Initialize Flask app
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app = Flask(__name__)
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# Route to generate audio
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@app.route("/generate", methods=["GET"])
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@spaces.GPU
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def generate_audio():
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prompt = request.args.get("prompt")
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seed = request.args.get("seed", random.randint(0, 100000), type=int)
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if not prompt:
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return jsonify({"error": "Missing prompt parameter"}), 400
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try:
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# Generate the audio using StableAudioPipeline
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generator = torch.Generator(device)
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audio_output = pipe(
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prompt=prompt,
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negative_prompt='',
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num_inference_steps=10, # Number of diffusion steps
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guidance_scale=3.0,
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audio_end_in_s=1,
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device = "cuda" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# Initialize Flask app
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app = Flask(__name__)
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# Route to generate audio
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@app.route("/generate", methods=["GET"])
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@spaces.GPU
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def generate_audio():
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prompt = request.args.get("prompt")
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seed = request.args.get("seed", random.randint(0, 100000), type=int)
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if not prompt:
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return jsonify({"error": "Missing prompt parameter"}), 400
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try:
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# Load the StableAudio model from Hugging Face Hub
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pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch_dtype)
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pipe = pipe.to(device)
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# Generate the audio using StableAudioPipeline
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generator = torch.Generator(device)
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generator.manual_seed(seed)
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audio_output = pipe(
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prompt=prompt,
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negative_prompt='Low Quality',
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num_inference_steps=10, # Number of diffusion steps
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guidance_scale=3.0,
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audio_end_in_s=1,
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