Fix Dockerfile build for Hugging Face

Dockerfile

@@ -1,32 +1,36 @@
-# Use lightweight Python image
+# ==============================================================
+# ✅ Hugging Face Dockerfile for Flask + TensorFlow + OpenCV
+# ==============================================================
+
+# 1. Use a stable lightweight base image
 FROM python:3.10-slim
 
-# Prevent buffering and ensure logs show up instantly
+# 2. Avoid Python buffering and cache issues
 ENV PYTHONUNBUFFERED=1
+ENV PIP_NO_CACHE_DIR=1
 
-# Install necessary system dependencies
+# 3. Install system dependencies
 RUN apt-get update && apt-get install -y \
     libgl1 \
     libglib2.0-0 \
-    libopencv-dev \
     libatlas-base-dev \
  && rm -rf /var/lib/apt/lists/*
 
-# Set working directory
+# 4. Set working directory
 WORKDIR /app
 
-# Copy requirements first (to leverage Docker cache)
-COPY requirements.txt /app/
+# 5. Copy requirements first for caching
+COPY requirements.txt .
 
-# Upgrade pip and install dependencies
-RUN pip install --no-cache-dir --upgrade pip
-RUN pip install --no-cache-dir -r requirements.txt
+# 6. Upgrade pip + install dependencies safely
+RUN pip install --upgrade pip setuptools wheel
+RUN pip install -r requirements.txt
 
-# Copy the rest of your application
-COPY . /app
+# 7. Copy the rest of your app
+COPY . .
 
-# Expose the port used by Hugging Face Spaces
+# 8. Expose the Hugging Face port
 EXPOSE 7860
 
-# Run Flask app
+# 9. Start Flask app
 CMD ["python", "app.py"]