Optimized Dockerfile for HuggingFace Spaces

Dockerfile

@@ -2,30 +2,27 @@ FROM python:3.10-slim
 
 WORKDIR /app
 
-# Install system dependencies FIRST
+# Install system dependencies FIRST (including build tools for compiling packages)
 RUN apt-get update && apt-get install -y \
     ffmpeg \
     libsndfile1 \
+    build-essential \
     && rm -rf /var/lib/apt/lists/*
 
-# Upgrade pip first
-RUN pip install --upgrade pip wheel
+# Upgrade pip and install wheel first
+RUN pip install --upgrade pip setuptools wheel
 
-# Pin setuptools to version 64.x (last version with use_2to3 support)
-# This prevents errors if old packages like googleads are pulled as dependencies
-# Version 64.0.0 is the last that supports use_2to3, preventing googleads installation errors
-RUN pip install --no-cache-dir "setuptools==64.0.0"
-
-# Copy requirements
+# Copy requirements early for better Docker layer caching
 COPY requirements.txt .
 
 # Install Python dependencies in CORRECT ORDER
-# numpy MUST be first, before torch/torchaudio
+# numpy MUST be installed first, before torch/torchaudio (prevents conflicts)
 RUN pip install --no-cache-dir "numpy>=1.24.0,<2.0.0"
 
-# Install requirements
-# setuptools 64.0.0 (pinned above) supports use_2to3, so if googleads is pulled as a dependency, it won't fail
-RUN pip install --no-cache-dir -r requirements.txt
+# Install remaining requirements
+# numpy is already installed above, pip will skip it if version matches
+# Use --prefer-binary to prefer pre-built wheels (faster, more reliable)
+RUN pip install --no-cache-dir --prefer-binary -r requirements.txt
 
 # Copy application code
 COPY . .

requirements.txt

@@ -1,4 +1,5 @@
 # Core ML Dependencies - ORDER MATTERS!
+# Note: In Dockerfile, numpy is installed separately first to prevent conflicts
 numpy>=1.24.0,<2.0.0
 torch==2.0.1
 torchaudio==2.0.2