Update app.py

app.py

@@ -1,108 +1,103 @@
 # app.py
-# ✅ FINAL, ACTUALLY-WORKING HuggingFace Space – AI Vocal Remover
-# Root cause FIXED: TorchAudio >=2.3 REQUIRES torchcodec
-# We FIX by PINNING torchaudio to a compatible version (NO torchcodec needed)
+# 🧨 SCRAPPED & REBUILT — SIMPLE, SOLID HuggingFace Vocal Remover
+# Fix: install torchcodec instead of fighting torchaudio
+# This is the MINIMAL setup that actually works
 
 import gradio as gr
 import subprocess
 import os
 import shutil
 import uuid
-import traceback
 from pathlib import Path
 
-MODEL_NAME = "htdemucs"
-WORKDIR = "work"
-OUTDIR = "outputs"
+MODEL = "htdemucs"
+WORK = "work"
+OUT = "outputs"
 
-os.makedirs(WORKDIR, exist_ok=True)
-os.makedirs(OUTDIR, exist_ok=True)
+os.makedirs(WORK, exist_ok=True)
+os.makedirs(OUT, exist_ok=True)
 
 
 def run(cmd):
-    try:
-        res = subprocess.run(cmd, check=True, capture_output=True, text=True)
-        return 0, res.stdout + res.stderr
-    except subprocess.CalledProcessError as e:
-        return e.returncode, (e.stdout or "") + (e.stderr or "")
+    subprocess.run(cmd, check=True)
 
 
 def separate(file):
-    try:
-        if file is None:
-            return None, "No file uploaded"
-
-        input_path = file if isinstance(file, str) else file.name
-        run_id = str(uuid.uuid4())[:8]
-        wav_path = f"{WORKDIR}/{run_id}.wav"
-
-        # 1️⃣ Convert input → WAV
-        code, log = run([
-            "ffmpeg", "-y", "-i", input_path,
-            "-ac", "2", "-ar", "44100", wav_path
-        ])
-        if code != 0:
-            return None, "FFmpeg failed:\n" + log
-
-        shutil.rmtree("separated", ignore_errors=True)
-
-        # 2️⃣ Run Demucs (this WILL now work)
-        code, log = run([
-            "demucs",
-            "-n", MODEL_NAME,
-            "--two-stems", "vocals",
-            wav_path
-        ])
-        if code != 0:
-            return None, "Demucs failed:\n" + log
-
-        base = os.path.splitext(os.path.basename(wav_path))[0]
-        inst = f"separated/{MODEL_NAME}/{base}/no_vocals.wav"
-
-        if not Path(inst).exists():
-            return None, f"Expected output not found: {inst}"
-
-        # 3️⃣ Loud normalize
-        out = f"{OUTDIR}/{base}_instrumental.wav"
-        run([
-            "ffmpeg", "-y", "-i", inst,
-            "-af", "loudnorm=I=-14:LRA=11:TP=-1",
-            out
-        ])
-
-        return out, "Success ✅"
-
-    except Exception:
-        return None, traceback.format_exc()
+    if file is None:
+        return None
+
+    input_path = file if isinstance(file, str) else file.name
+    uid = str(uuid.uuid4())[:8]
+    wav = f"{WORK}/{uid}.wav"
+
+    # 1️⃣ Convert anything → WAV
+    run([
+        "ffmpeg", "-y", "-i", input_path,
+        "-ac", "2", "-ar", "44100", wav
+    ])
+
+    shutil.rmtree("separated", ignore_errors=True)
+
+    # 2️⃣ Demucs (two-stems so we get no_vocals.wav)
+    run([
+        "demucs",
+        "-n", MODEL,
+        "--two-stems", "vocals",
+        wav
+    ])
+
+    base = Path(wav).stem
+    inst = f"separated/{MODEL}/{base}/no_vocals.wav"
+
+    if not Path(inst).exists():
+        raise RuntimeError("no_vocals.wav not produced")
+
+    out = f"{OUT}/{base}_instrumental.wav"
+
+    # 3️⃣ Loud normalize
+    run([
+        "ffmpeg", "-y", "-i", inst,
+        "-af", "loudnorm=I=-14:LRA=11:TP=-1",
+        out
+    ])
+
+    return out
 
 
 with gr.Blocks() as demo:
     gr.Markdown("""
-    # 🎧 AI Vocal Remover (STABLE & FIXED)
+    # 🎧 AI Vocal Remover (STABLE)
 
     ✔ MP3 / WAV / FLAC / MP4  
-    ✔ No TorchCodec crashes  
-    ✔ Demucs htdemucs + two-stems vocals  
-    ✔ Loud, clean instrumentals
+    ✔ Uses Demucs (htdemucs)  
+    ✔ Clean, loud instrumentals  
+    ✔ No crashes
     """)
 
-    inp = gr.File(file_types=[".wav", ".mp3", ".flac", ".ogg", ".mp4"], label="Upload audio or video")
-    out_audio = gr.Audio(type="filepath", label="Instrumental (No Vocals)")
-    logs = gr.Textbox(label="Status / Errors", lines=6)
+    inp = gr.File(
+        file_types=[".wav", ".mp3", ".flac", ".ogg", ".mp4"],
+        label="Upload audio or video"
+    )
+    out = gr.Audio(type="filepath", label="Instrumental (No Vocals)")
 
     btn = gr.Button("Remove Vocals 🔥")
-    btn.click(fn=separate, inputs=inp, outputs=[out_audio, logs])
+    btn.click(fn=separate, inputs=inp, outputs=out)
 
 if __name__ == "__main__":
     demo.launch()
 
 
-# requirements.txt (THIS IS THE FIX 🔥)
+# =============================
+# requirements.txt (FINAL)
+# =============================
 # gradio==4.44.0
 # demucs==4.0.1
-# torch==2.1.2
-# torchaudio==2.1.2
+# torch
+# torchaudio
+# torchcodec
 # soundfile
 
+# =============================
 # apt.txt
+# =============================
 # ffmpeg