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Update app.py
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app.py
CHANGED
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@@ -5,7 +5,7 @@ import soundfile as sf
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from huggingface_hub import login
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from diffusers import StableAudioPipeline
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import os
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import tempfile
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# Load Hugging Face token securely
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HUGGINGFACE_TOKEN = os.getenv("HF_TOKEN")
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@@ -48,28 +48,18 @@ def generate_audio():
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num_waveforms_per_prompt=1,
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generator=generator
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).audios
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# Convert to numpy and save to a WAV file
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output_audio = audio_output[0].T.float().cpu().numpy()
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output_filename = "output.wav"
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output_path = os.path.join(OUTPUT_PATH, output_filename)
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sf.write(output_path, output_audio, pipe.vae.sampling_rate)
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# Return the WAV file
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return jsonify({"file_path": output_path}), 200
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'''
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# Convert to numpy
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output_audio = audio_output[0].T.float().cpu().numpy()
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# Create a temporary file to store the output audio
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_file:
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temp_file_path = temp_file.name
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# Save the audio to the temporary file
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sf.write(temp_file_path, output_audio, pipe.vae.sampling_rate)
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# Return the file as an attachment
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return send_file(temp_file_path, as_attachment=True, download_name="output.wav", mimetype="audio/wav")
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except Exception as e:
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from huggingface_hub import login
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from diffusers import StableAudioPipeline
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import os
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#import tempfile
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# Load Hugging Face token securely
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HUGGINGFACE_TOKEN = os.getenv("HF_TOKEN")
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num_waveforms_per_prompt=1,
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generator=generator
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).audios
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# Convert to numpy and save to a WAV file
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output_audio = audio_output[0].T.float().cpu().numpy()
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output_filename = "output.wav"
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output_path = os.path.join(OUTPUT_PATH, output_filename)
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sf.write(output_path, output_audio, pipe.vae.sampling_rate)
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# Absolute file path
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absolute_output_path = os.path.abspath(output_path)
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# Return the WAV file
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return jsonify({"file_path": output_path}), 200
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except Exception as e:
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