Update app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import os
+import librosa
+import soundfile as sf
+import subprocess
+import uuid
+
+OUTPUT_DIR = "segments"
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+def process_vocal(file):
+    filename = file.name
+    y, sr = librosa.load(filename, sr=32000, mono=True)
+    intervals = librosa.effects.split(y, top_db=25)
+
+    segment_paths = []
+    for i, (start, end) in enumerate(intervals):
+        clip = y[start:end]
+        if len(clip) / sr < 0.5 or len(clip) / sr > 6.0:
+            continue
+        out_path = os.path.join(OUTPUT_DIR, f"clip_{i}.wav")
+        sf.write(out_path, clip, sr)
+        segment_paths.append(out_path)
+
+    zipname = f"vocals_{uuid.uuid4().hex[:8]}.zip"
+    subprocess.run(["zip", "-j", zipname] + segment_paths)
+    return zipname
+
+gr.Interface(
+    fn=process_vocal,
+    inputs=gr.Audio(type="file"),
+    outputs=gr.File(label="Download ZIP"),
+    title="VocalPrep AI",
+    description="Upload a vocal-only WAV file. This tool removes silence, splits usable clips, and gives you a training-ready ZIP."
+).launch()