Update Dockerfile

Dockerfile

@@ -1,77 +1,62 @@
-# Use an official Python runtime as a parent image
-# This base image is Debian 12 "Bookworm"
+# Use an official Python runtime as a parent image (Debian 12 Bookworm)
 FROM python:3.9-slim
 
-# Set environment variables for Python and Numba
+# Disable Python bytecode and buffer stdout/stderr
 ENV PYTHONDONTWRITEBYTECODE=1 \
     PYTHONUNBUFFERED=1 \
-    NUMBA_CACHE_DIR=/tmp/numba_cache
+    # Ensure NumPy <2 so all C extensions load correctly
+    NUMPY_EXPLICIT_VERSION=1.23.5
 
-# Set the working directory
+# Working directory
 WORKDIR /app
 
-# Install build dependencies and LLVM components from Debian's default repos (Bookworm)
+# Install build dependencies, audio/video libs, and LLVM 14 for llvmlite
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         libedit-dev \
         libffi-dev \
         python3-dev \
-        libgl1-mesa-glx \
-        libsm6 \
-        libxrender1 \
-        libglib2.0-0 \
+        libgl1-mesa-glx libsm6 libxrender1 libglib2.0-0 \
         ffmpeg \
-        libsndfile1 \
-        libsndfile1-dev \
-        # Install LLVM 14, which is common in Debian Bookworm
-        clang-14 \
-        llvm-14-dev \
-        llvm-14-runtime \
-        && rm -rf /var/lib/apt/lists/*
+        libsndfile1 libsndfile1-dev \
+        clang-14 llvm-14-dev llvm-14-runtime \
+    && rm -rf /var/lib/apt/lists/*
 
-# Set LLVM_CONFIG for clang-14 (needed by llvmlite)
+# Point llvmlite at the correct llvm-config
 ENV LLVM_CONFIG=/usr/bin/llvm-config-14
 
-# --- CRITICAL CHANGE: Ensure correct NumPy version ---
-# First, remove any pre-installed numpy that might conflict
-RUN pip uninstall -y numpy || true
+# Remove any preinstalled NumPy, then install a NumPy 1.x release
+RUN pip uninstall -y numpy || true && \
+    pip install --no-cache-dir numpy==${NUMPY_EXPLICIT_VERSION}
 
-# Explicitly install the exact NumPy 1.x version
-# This must come BEFORE numba and librosa to ensure they compile/install against it.
-RUN pip install --no-cache-dir numpy==1.22.4
-
-# Install llvmlite, numba, resampy, librosa which depend on numpy
+# Install the trio that need to compile against NumPy 1.x
 RUN pip install --no-cache-dir \
-    llvmlite==0.36.0 \
-    numba==0.53.1 \
-    resampy==0.3.1 \
-    librosa==0.9.2
+      llvmlite==0.38.0 \
+      numba==0.55.2 \
+      resampy==0.3.1 \
+      librosa==0.9.2
 
-# Copy the requirements file into the container at /app
+# Copy your application requirements (must NOT re‑pin NumPy)
 COPY requirements.txt /app/
-
-# Install other Python dependencies from requirements.txt
-# IT IS CRUCIAL that requirements.txt does NOT contain any numpy version that would conflict.
-# If it does, you MUST remove or modify it.
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the rest of the application
+# Copy application code
 COPY . /app/
 
-# Create necessary directories
-RUN mkdir -p /app/cache /app/uploads /app/results /app/checkpoints /app/temp \
- && chmod -R 777 /app/cache /app/uploads /app/results /app/checkpoints /app/temp
+# Create and permissively chmod required directories
+RUN mkdir -p cache uploads results checkpoints temp && \
+    chmod -R 777 cache uploads results checkpoints temp
 
-# Ensure full permissions for app directory
+# Ensure the entire app directory is writable
 RUN chmod -R 777 /app
 
-# Expose the app port
+# Expose the inference port
 EXPOSE 7860
 
-# Set Flask environment variables
+# Environment variables for Flask
 ENV FLASK_APP=app.py \
     FLASK_ENV=production
 
-# Start the application with Gunicorn
-CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app"]
+# Launch with Gunicorn (defaults: 1 worker, sync, 30s timeout)
+CMD ["gunicorn", "--bind", "0.0.0.0:7860", "app:app"]