updated the Dockerfile to include the user with permission

Dockerfile

@@ -41,20 +41,29 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
+# Create user and set up environment
+RUN useradd -m -u 1000 user
+
+USER user
+
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
 # Set working directory
-WORKDIR /app
+WORKDIR $HOME/app
 
 # Copy requirements first for better caching
-COPY requirements.txt .
+COPY --chown=user:user requirements.txt .
 
 # Create and set up persistent directories with proper permissions
-RUN mkdir -p /app/static /app/models /app/voice_memories /app/voice_references \
-    /app/voice_profiles /app/cloned_voices /app/audio_cache /app/tokenizers /app/logs && \
-    chmod -R 777 /app/voice_references /app/voice_profiles /app/voice_memories \
-    /app/cloned_voices /app/audio_cache /app/static /app/logs /app/tokenizers /app/models
+RUN mkdir -p $HOME/app/static $HOME/app/models $HOME/app/voice_memories $HOME/app/voice_references \
+    $HOME/app/voice_profiles $HOME/app/cloned_voices $HOME/app/audio_cache $HOME/app/tokenizers $HOME/app/logs && \
+    chmod -R 755 $HOME/app && \
+    chmod -R 777 $HOME/app/voice_references $HOME/app/voice_profiles $HOME/app/voice_memories \
+    $HOME/app/cloned_voices $HOME/app/audio_cache $HOME/app/static $HOME/app/logs $HOME/app/tokenizers $HOME/app/models
 
 # Copy static files
-COPY ./static /app/static
+COPY --chown=user:user ./static $HOME/app/static
 
 # Install Python dependencies
 RUN pip3 install --no-cache-dir --upgrade pip && \
@@ -77,10 +86,10 @@ RUN pip3 install -r requirements.txt
 RUN pip3 install yt-dlp openai-whisper
 
 # Copy application code
-COPY ./app /app/app
+COPY --chown=user:user ./app $HOME/app/app
 
 # Copy downloaded model from the model-downloader stage
-COPY --from=model-downloader /model-downloader/models /app/models
+COPY --chown=user:user --from=model-downloader /model-downloader/models $HOME/app/models
 
 # Show available models in torchtune
 RUN python3 -c "import torchtune.models; print('Available models in torchtune:', dir(torchtune.models))"