Convert to Docker Space setup

.dockerignore

@@ -0,0 +1,36 @@
+# Git
+.git
+.gitignore
+.gitattributes
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+venv/
+.env
+.venv/
+
+# IDE
+.vscode/
+.cursor/
+*.swp
+*.swo
+*~
+
+# OS
+.DS_Store
+Thumbs.db
+
+# Documentation
+README.md
+
+# Working directories (will be created by the app)
+data/working/*
+data/output/*
+
+# Environment files (should be passed as build args or runtime env vars)
+.env 

Dockerfile

@@ -0,0 +1,67 @@
+# Use Python 3.11 slim image as base
+FROM python:3.11-slim
+
+# Set up a new user named "user" with user ID 1000 (HF requirement)
+RUN useradd -m -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Install system dependencies for OpenCV, Graphviz, and other packages
+# Switch to root temporarily for system package installation
+USER root
+RUN apt-get update && apt-get install -y \
+    graphviz \
+    libgraphviz-dev \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    libgomp1 \
+    libgl1-mesa-glx \
+    libgtk-3-0 \
+    libavcodec-dev \
+    libavformat-dev \
+    libswscale-dev \
+    libv4l-dev \
+    libxvidcore-dev \
+    libx264-dev \
+    libjpeg-dev \
+    libpng-dev \
+    libtiff-dev \
+    libatlas-base-dev \
+    python3-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Switch back to user
+USER user
+
+# Copy requirements first for better caching (with proper ownership)
+COPY --chown=user requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the application code (with proper ownership)
+COPY --chown=user . $HOME/app
+
+# Create necessary directories with proper permissions
+RUN mkdir -p data/demos data/working data/output data/templates
+
+# Set environment variables
+ENV PYTHONPATH=$HOME/app
+ENV PYTHONUNBUFFERED=1
+
+# Expose the port that Gradio uses
+EXPOSE 7860
+
+# Run the application
+CMD ["python", "app.py"] 

README.md

@@ -3,12 +3,10 @@ title: Petri Net Converter Suite
 emoji: 🔄
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: 5.0.0
-app_file: app.py
+sdk: docker
+app_port: 7860
 pinned: false
 license: mit
-short_description: ' Petri net image recognition project(OGR)'
 ---
 
 # Petri Net Converter Suite

docker-compose.yml

@@ -0,0 +1,15 @@
+version: '3.8'
+
+services:
+  petri-net-converter:
+    build: .
+    ports:
+      - "7860:7860"
+    environment:
+      - GROQ_API_KEY=${GROQ_API_KEY}
+      - ROBOFLOW_API_KEY=${ROBOFLOW_API_KEY}
+    volumes:
+      # Optional: Mount data directory to persist outputs
+      - ./data/output:/app/data/output
+      - ./data/demos:/app/data/demos
+    restart: unless-stopped 

requirements.txt

@@ -3,8 +3,8 @@ gradio>=5.0.0
 python-dotenv>=1.0.0
 
 # Machine Learning Framework (required by python-doctr)
-torch>=2.0.0
-torchvision>=0.15.0
+torch>=2.5.0
+torchvision>=0.20.0
 
 # Computer Vision and Image Processing
 opencv-python>=4.8.0
@@ -25,7 +25,7 @@ supervision>=0.20.0
 requests>=2.31.0
 
 # Petri Net Processing
-pm4py==2.6.0
+pm4py==2.7.15.1
 
 # Template Engine
 Jinja2>=3.1.0
@@ -36,4 +36,4 @@ groq>=0.4.0
 # Utility Libraries (likely used by dependencies above)
 # These may be automatically installed but listing for clarity
 matplotlib>=3.7.0  # Used by various CV libraries
-scipy>=1.11.0     # Used by scikit-image and other scientific packages
+scipy>=1.11.0     # Used by scikit-image and other scientific packages