Add application file

Dockerfile

@@ -0,0 +1,32 @@
+# Use a lightweight Python image
+FROM python:3.11-slim
+
+# Install system dependencies for OpenCV and building packages
+RUN apt-get update && apt-get install -y \
+    libgl1 \
+    libglib2.0-0 \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set up a new user 'user' (Hugging Face requires a non-root user)
+RUN useradd -m -u 1000 user
+USER user
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+# Copy requirements first for better caching
+COPY --chown=user requirements.txt .
+
+# Install dependencies (using --no-cache-dir to save space)
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the app
+COPY --chown=user . .
+
+# Hugging Face Spaces always expects port 7860
+EXPOSE 7860
+
+# Use Gunicorn with Eventlet to support your SocketIO connections
+CMD ["gunicorn", "-k", "eventlet", "-w", "1", "-b", "0.0.0.0:7860", "run:app"]

README.md

@@ -1,3 +1,12 @@
+---
+title: RR Traffic Analysis System
+emoji: 🚗
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+---
+
 # Real-time Vehicle Detection and Traffic Analysis System for Malaysia Rest & Recreation (R&R) Stops
 ## Description of the system:
 - using RF-Detr Base model (roboflow's) for detecting and classifying vehicles entering and exiting the R&R stops from surveillance footage (video file or live camera feed) into sedan, SUV, pickup, van, motorcycle, bus or truck.