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Voice Cleaner and Enhancer app version 1.0

app.py

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+import gradio as gr
+import torchaudio
+import torch
+from speechbrain.pretrained import SpectralMaskEnhancement
+
+enhancer = SpectralMaskEnhancement.from_hparams(
+    source="speechbrain/mtl-mimic-voicebank",
+    savedir="tmpdir"
+)
+
+def enhance_vo(file, denoise_strength):
+    orig, fs = torchaudio.load(file)
+    enhanced = enhancer.enhance_batch(orig, fs)
+    blend_ratio = denoise_strength / 100.0
+    output = (1 - blend_ratio) * orig + blend_ratio * enhanced
+    output = output / output.abs().max()
+    output_path = "enhanced_output.wav"
+    torchaudio.save(output_path, output, fs)
+    return output_path
+
+interface = gr.Interface(
+    fn=enhance_vo,
+    inputs=[
+        gr.Audio(type="filepath", label="Upload MP3 or WAV"),
+        gr.Slider(0, 100, value=100, label="Noise Reduction Strength (%)")
+    ],
+    outputs=gr.Audio(type="filepath", label="Enhanced Audio (WAV)"),
+    title="VO Cleaner - Adobe Style",
+    description="Upload your voiceover (MP3/WAV), adjust the noise reduction slider, and get a cleaner WAV file."
+)
+
+interface.launch()

requirements.txt

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+gradio
+torchaudio
+speechbrain