endpoint: /api/trim

- Define new api endpoint /api/trim, params: file_uuid, overwrites exisiting file on server with trimmed audio.
- Remove print messages in freqsplit/postprocessing/audio_writer.export_audio()
- Add new file api/utils.py for commonly used functions

api/api/tasks.py

@@ -2,6 +2,7 @@ from celery import shared_task
 from freqsplit.input.file_reader import read_audio
 from freqsplit.preprocessing.classify import classify_audio
 from freqsplit.preprocessing.normalize import normalize_audio
+from freqsplit.preprocessing.trim import trim_audio 
 from freqsplit.postprocessing.audio_writer import export_audio
 
 @shared_task
@@ -29,3 +30,13 @@ def normalize_audio_task(file_path):
     except Exception as e:
         return False
 
+@shared_task
+def trim_audio_task(file_path):
+    """Celery task to trim audio synchronously"""
+    try:
+       audio, sr = read_audio(file_path)
+       trimmed_audio = trim_audio(audio, sr)
+       export_audio(trimmed_audio, file_path, sr)
+       return True
+    except Exception as e:
+        return False

api/api/utils.py

@@ -0,0 +1,9 @@
+# api/utils.py
+import os
+
+def get_audio_file_path(file_uuid, base_dir):
+    """Returns the full path to the audio file inside the given UUID folder."""
+    dir_path = os.path.join(base_dir, file_uuid)
+    if not os.path.exists(dir_path) or not os.listdir(dir_path):
+        return False
+    return os.path.join(dir_path, os.listdir(dir_path)[0])  # Assumes only one file exists

api/api/views.py

@@ -3,8 +3,10 @@ import uuid
 from rest_framework.decorators import api_view
 from rest_framework.response import Response
 from rest_framework import status
+from .utils import get_audio_file_path
 from .tasks import save_and_classify
 from .tasks import normalize_audio_task
+from .tasks import trim_audio_task
 from freqsplit.input.format_checker import is_supported_format
 
 UPLOAD_DIR = "/tmp/freqsplit"
@@ -12,6 +14,8 @@ UPLOAD_DIR = "/tmp/freqsplit"
 # Ensure the temp directory exists
 os.makedirs(UPLOAD_DIR, exist_ok=True)
 
+#
+
 # Endpoint to upload audio and classify it to audio_class
 @api_view(['POST'])
 def upload_audio(request):
@@ -57,18 +61,9 @@ def normalize_audio(request):
     if not file_uuid:
         return Response({"error": "Missing file_uuid"}, status=status.HTTP_400_BAD_REQUEST)
     
-    audio_dir = os.path.join(UPLOAD_DIR, file_uuid)
+    file_path = get_audio_file_path(file_uuid, UPLOAD_DIR)
-    
+    if file_path == False:
-    if not os.path.exists(audio_dir) or not os.path.isdir(audio_dir):
+        return Response({"error": "No files found"}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
-        return Response({"error": "File directory not found"}, status=status.HTTP_400_BAD_REQUEST)
-    
-     # Get the actual file name (since there's only one file)
-    files = os.listdir(audio_dir)
-    if not files:
-        return Response({"error": "No file found in directory"}, status=status.HTTP_400_BAD_REQUEST)
-
-    file_name = files[0]
-    file_path = os.path.join(audio_dir, file_name)
     
     # Call Celery task synchronously
     task = normalize_audio_task.apply(args=(file_path,))
@@ -77,3 +72,24 @@ def normalize_audio(request):
         return Response({"message": "Audio normalized successfully"}, status=status.HTTP_200_OK)
     else:
         return Response({"error": "Failed to normalize audio"}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+
+# Endpoint to trim audio
+@api_view(['POST'])
+def trim_audio(request):
+    """Handles trimming of leading and trailing silence from an audio clip"""
+    file_uuid = request.data.get("file_uuid")
+    
+    if not file_uuid:
+        return Response({"error": "Missing file_uuid"}, status=status.HTTP_400_BAD_REQUEST)
+
+    file_path = get_audio_file_path(file_uuid, UPLOAD_DIR)
+    if file_path == False:
+        return Response({"error": "No files found"}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
+    
+    # Call Celery task synchronously
+    task = trim_audio_task.apply(args=(file_path,)) 
+
+    if task.get():
+        return Response({"message": "Audio trimmed successfulyl"}, status=status.HTTP_200_OK)
+    else:
+        return Response({"error": "Failed to normalize audio"}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)

api/backend/urls.py

@@ -18,9 +18,11 @@ from django.contrib import admin
 from django.urls import path
 from api.views import upload_audio
 from api.views import normalize_audio
+from api.views import trim_audio
 
 urlpatterns = [
     path('admin/', admin.site.urls),
     path('api/upload', upload_audio, name='upload_audio'),
-    path('api/normalize', normalize_audio, name="normalize_audio")
+    path('api/normalize', normalize_audio, name="normalize_audio"),
+    path('api/trim', trim_audio, name='trim_audio')
 ]

src/freqsplit/postprocessing/audio_writer.py

@@ -12,9 +12,6 @@ def export_audio(audio, output_path, sr):
     """
 
     try:
-        
-        print(f"Initial audio shape: {audio.shape}, dtype: {audio.dtype}, max: {np.max(audio)}, min: {np.min(audio)}")
-
         if audio.ndim == 2 and audio.shape[0] == 2:
             # Transpose stereo audio to match the expected shape
             audio = audio.T  # From (2, num_samples) to (num_samples, 2)
@@ -26,10 +23,6 @@ def export_audio(audio, output_path, sr):
         if np.max(np.abs(audio)) > 0:  # Avoid divide by zero
             audio = audio / np.max(np.abs(audio))
 
-        # Verify final format
-        print(f"Final audio shape: {audio.shape}, dtype: {audio.dtype}, max: {np.max(audio)}, min: {np.min(audio)}")
-
-        
         sf.write(output_path, audio, sr, format='wav')
         print(f"Audio saved to {output_path}")
     except Exception as e: