Create setup.py

feat: Update setup.py to include Streamlit and data visualization dependencies

- Added Streamlit to dependencies to support the web application framework.
- Included matplotlib for data visualization capabilities.
- Added pandas for handling CSV file manipulation and data analysis.
- Included numpy for numerical operations which may be required by various functionalities.
- Added scikit-learn and torch for potential machine learning functionalities.
- Updated project description to reflect the focus on AI-assisted penetration testing tools with data visualization features.
- Specified minimum Python version requirement to ensure compatibility.

setup.py

@@ -0,0 +1,30 @@
+from setuptools import setup, find_packages
+
+setup(
+    name='pen-testing-ai',
+    version='0.1.0',
+    author='Stephen de Jager',
+    author_email='[email protected]',  # Replace with your email
+    description='AI-assisted penetration testing tools and utilities with data visualization.',
+    long_description=open('README.md').read(),  # Assuming you have a README.md file
+    long_description_content_type='text/markdown',
+    url='https://github.com/canstralian/pen-testing-ai',  # Replace with your GitHub repository
+    packages=find_packages(),  # Automatically find packages in the project
+    install_requires=[
+        'streamlit',        # For the web application
+        'pandas',           # For data manipulation
+        'matplotlib',       # For data visualization
+        'numpy',            # Useful for numerical operations
+        'scikit-learn',     # If you're using machine learning
+        'torch',            # If you're using PyTorch
+        'transformers',     # For Hugging Face transformers
+        'requests',         # For making API calls if needed
+        # Add more dependencies as needed
+    ],
+    classifiers=[
+        'Programming Language :: Python :: 3',
+        'License :: OSI Approved :: MIT License',
+        'Operating System :: OS Independent',
+    ],
+    python_requires='>=3.6',  # Specify the minimum Python version
+)