[O] Re-encode with opus

.env.example

@@ -1,2 +1,2 @@
 MONGO_URL="mongodb://cat:meow@localhost:27017/"
-AUDIO_SEPARATOR_API="http://127.0.0.1:8000"
+AUDIO_SEPARATOR_API="http://127.0.0.1:24801"

scripts/README.md

@@ -13,3 +13,7 @@ pip install "audio-separator[cpu]" fastapi uvicorn python-multipart
 ```bash
 python server.py
 ```
+
+## Compute requirements
+
+My hardware is V100 16GB, and the model took ~1.5GB. So probably any potato would work.

scripts/server.py

@@ -3,6 +3,7 @@ import shutil
 import uuid
 import threading
 import uvicorn
+from subprocess import check_call
 from pathlib import Path
 from fastapi import FastAPI, UploadFile, File, BackgroundTasks, HTTPException
 from fastapi.responses import FileResponse
@@ -44,14 +45,24 @@ def process_separation(task_id: str, task_dir: Path, input_path: Path):
             
             logger.info(f"Separating {task_id}...")
             output_files = sep.separate(str(input_path))
+            logger.info(f"Output files {output_files}")
             
             results = {}
             for file in output_files:
                 p = Path(file)
+                target_p = task_dir / p.name
+                if p != target_p:
+                    shutil.move(str(p), str(target_p))
+                    p = target_p
+
+                opus_path = p.with_suffix('.opus')
+                check_call(['ffmpeg', '-y', '-i', str(p), '-c:a', 'libopus', '-b:a', '96k', '-vbr', 'on', str(opus_path)])
+                p.unlink()
+                
                 if 'Vocals' in p.name:
-                    results['vocals'] = str(p)
+                    results['vocals'] = str(opus_path)
                 elif 'Instrumental' in p.name:
-                    results['instrumental'] = str(p)
+                    results['instrumental'] = str(opus_path)
             
             jobs[task_id]['results'] = results
             jobs[task_id]['status'] = 'completed'
@@ -63,7 +74,7 @@ def process_separation(task_id: str, task_dir: Path, input_path: Path):
         jobs[task_id]['error'] = str(e)
 
 @app.post("/separate")
-async def separate(file: UploadFile = File(...), background_tasks: BackgroundTasks):
+async def separate(background_tasks: BackgroundTasks, file: UploadFile = File(...)):
     task_id = str(uuid.uuid4())
     task_dir = TEMP_DIR / task_id
     task_dir.mkdir(parents=True, exist_ok=True)
@@ -97,6 +108,17 @@ async def get_result(task_id: str, stem: str):
         
     return FileResponse(file_path)
 
+@app.delete("/task/{task_id}")
+async def delete_task(task_id: str):
+    if task_id in jobs:
+        del jobs[task_id]
+    
+    task_dir = TEMP_DIR / task_id
+    if task_dir.exists():
+        shutil.rmtree(task_dir)
+    
+    return {"status": "deleted"}
+
 if __name__ == "__main__":
-    print("Starting Audio Separator API on port 8000...")
+    print("Starting Audio Separator API on port 24801...")
-    uvicorn.run(app, host="127.0.0.1", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=24801)

src/hooks.server.ts

@@ -0,0 +1,3 @@
+import { checkAudioSeparator } from '$lib/server/separator';
+
+checkAudioSeparator().catch(e => console.error('Audio separator check failed:', e));