updated the path to the that was casing permission issues in entire app

app/api/routes.py

@@ -16,7 +16,7 @@ import numpy as np
 from fastapi import APIRouter, Request, HTTPException, BackgroundTasks, Body, Response, Query
 from fastapi.responses import StreamingResponse
 from app.api.schemas import SpeechRequest, ResponseFormat, Voice
-from app.models import Segment
+from app.models import Segment, TTSRequest, TTSResponse, StreamRequest
 from app.api.streaming import AudioChunker
 from app.prompt_engineering import split_into_segments
 
@@ -24,6 +24,11 @@ from app.prompt_engineering import split_into_segments
 logger = logging.getLogger(__name__)
 router = APIRouter()
 
+# Constants
+APP_DIR = os.path.join(os.environ['HOME'], 'app')
+AUDIO_CACHE_DIR = os.path.join(APP_DIR, "audio_cache")
+os.makedirs(AUDIO_CACHE_DIR, exist_ok=True)
+
 # Mapping of response_format to MIME types
 MIME_TYPES = {
     "mp3": "audio/mpeg",
@@ -433,7 +438,7 @@ async def format_audio(audio, response_format, sample_rate, app_state):
         # Generate a hash of the audio tensor for caching
         audio_hash = hashlib.md5(audio.cpu().numpy().tobytes()).hexdigest()
         cache_key = f"{audio_hash}_{response_format}"
-        cache_dir = getattr(app_state, "audio_cache_dir", "/app/audio_cache")
+        cache_dir = getattr(app_state, "audio_cache_dir", AUDIO_CACHE_DIR)
         os.makedirs(cache_dir, exist_ok=True)
         cache_path = os.path.join(cache_dir, f"{cache_key}")
         
@@ -534,7 +539,7 @@ async def format_audio(audio, response_format, sample_rate, app_state):
             # Store in cache if enabled
             if cache_enabled and cache_key:
                 try:
-                    cache_path = os.path.join(getattr(app_state, "audio_cache_dir", "/app/audio_cache"), f"{cache_key}")
+                    cache_path = os.path.join(getattr(app_state, "audio_cache_dir", AUDIO_CACHE_DIR), f"{cache_key}")
                     with open(cache_path, "wb") as f:
                         f.write(response_data)
                     logger.debug(f"Cached {response_format} audio with key: {cache_key}")

app/utils/voice_manager.py

@@ -8,18 +8,23 @@ from typing import Dict, List, Optional, Any
 
 logger = logging.getLogger(__name__)
 
-# Define persistent paths
-VOICE_REFERENCES_DIR = "/app/voice_references"
-VOICE_PROFILES_DIR = "/app/voice_profiles"
-VOICE_MEMORIES_DIR = "/app/voice_memories"
+# Constants
+APP_DIR = os.path.join(os.environ['HOME'], 'app')
+VOICE_REFERENCES_DIR = os.path.join(APP_DIR, "voice_references")
+VOICE_PROFILES_DIR = os.path.join(APP_DIR, "voice_profiles")
+VOICE_MEMORIES_DIR = os.path.join(APP_DIR, "voice_memories")
+VOICE_BACKUPS_DIR = os.path.join(APP_DIR, "voice_backups")
 
 # Ensure directories exist
 os.makedirs(VOICE_REFERENCES_DIR, exist_ok=True)
 os.makedirs(VOICE_PROFILES_DIR, exist_ok=True)
 os.makedirs(VOICE_MEMORIES_DIR, exist_ok=True)
+os.makedirs(VOICE_BACKUPS_DIR, exist_ok=True)
 
-def backup_voice_data(backup_dir: str = "/app/voice_backups"):
+def backup_voice_data(backup_dir: str = None):
     """Create a backup of all voice data."""
+    if backup_dir is None:
+        backup_dir = VOICE_BACKUPS_DIR
     os.makedirs(backup_dir, exist_ok=True)
     timestamp = torch.datetime.now().strftime("%Y%m%d_%H%M%S")
     backup_path = os.path.join(backup_dir, f"voice_backup_{timestamp}")

app/voice_cloning.py

@@ -27,7 +27,8 @@ from app.models import Segment
 logger = logging.getLogger(__name__)
 
 # Directory for storing cloned voice data
-CLONED_VOICES_DIR = "/app/cloned_voices"
+APP_DIR = os.path.join(os.environ['HOME'], 'app')
+CLONED_VOICES_DIR = os.path.join(APP_DIR, "cloned_voices")
 os.makedirs(CLONED_VOICES_DIR, exist_ok=True)
 
 class ClonedVoice(BaseModel):

app/voice_enhancement.py

@@ -8,13 +8,15 @@ from typing import Dict, List, Optional, Tuple
 import logging
 from dataclasses import dataclass
 from scipy import signal
+from app.models import Segment
 
 # Setup logging
 logger = logging.getLogger(__name__)
 
-# Define persistent paths
-VOICE_REFERENCES_DIR = "/app/voice_references"
-VOICE_PROFILES_DIR = "/app/voice_profiles"
+# Constants
+APP_DIR = os.path.join(os.environ['HOME'], 'app')
+VOICE_REFERENCES_DIR = os.path.join(APP_DIR, "voice_references")
+VOICE_PROFILES_DIR = os.path.join(APP_DIR, "voice_profiles")
 
 # Ensure directories exist
 os.makedirs(VOICE_REFERENCES_DIR, exist_ok=True)
@@ -476,8 +478,6 @@ def get_voice_segments(voice_name: str, device: torch.device) -> List:
     Returns:
         List of context segments
     """
-    from app.models import Segment
-    
     if voice_name not in VOICE_PROFILES:
         logger.warning(f"Voice {voice_name} not found, defaulting to alloy")
         voice_name = "alloy"

app/voice_memory.py

@@ -12,8 +12,9 @@ from app.models import Segment
 # Setup logging
 logger = logging.getLogger(__name__)
 
-# Path to store voice memories - use persistent location
-VOICE_MEMORIES_DIR = "/app/voice_memories"
+# Constants
+APP_DIR = os.path.join(os.environ['HOME'], 'app')
+VOICE_MEMORIES_DIR = os.path.join(APP_DIR, "voice_memories")
 os.makedirs(VOICE_MEMORIES_DIR, exist_ok=True)
 
 @dataclass