diff --git a/community-contributions/shabsi4u/Website_brochure_generator/README.md b/community-contributions/shabsi4u/Website_brochure_generator/README.md new file mode 100644 index 0000000..d732fa0 --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/README.md @@ -0,0 +1,261 @@ +# Website Brochure Generator + +An AI-powered tool that automatically generates professional brochures from any website. The tool analyzes website content, extracts relevant information, and creates beautifully formatted brochures using OpenAI's GPT models. + +## Features + +- 🌐 **Website Analysis**: Automatically scrapes and analyzes website content +- πŸ€– **AI-Powered**: Uses OpenAI GPT-4o-mini for intelligent content generation +- πŸ“„ **Professional Output**: Generates markdown-formatted brochures +- 🌍 **Multi-Language Support**: Translate brochures to any language using AI +- 🎨 **Beautiful Output**: Rich terminal formatting and native Jupyter markdown rendering +- ⚑ **Streaming Support**: Real-time brochure generation with live updates +- πŸ–₯️ **Multiple Interfaces**: Command-line script and interactive Jupyter notebook +- πŸ““ **Interactive Notebook**: Step-by-step execution with widgets and examples + +## Prerequisites + +- Python 3.8 or higher +- OpenAI API key +- Jupyter notebook environment (for notebook usage) + +## Installation + +### Option 1: Using uv (Recommended) + +```bash +# Install uv if you haven't already +curl -LsSf https://astral.sh/uv/install.sh | sh + +# Clone or download the project +cd Website_brochure_generator + +# Install dependencies with uv +uv sync + +# Activate the virtual environment +source .venv/bin/activate # On Windows: .venv\Scripts\activate +``` + +### Option 2: Using pip + +```bash +# Create a virtual environment (recommended) +python -m venv venv +source venv/bin/activate # On Windows: venv\Scripts\activate + +# Install dependencies +pip install -r requirements.txt +``` + +### Option 3: Using pip with pyproject.toml + +```bash +# Install in development mode +pip install -e . + +# Or install with optional dev dependencies +pip install -e ".[dev]" +``` + +## Setup + +1. **Get your OpenAI API key**: + - Visit [OpenAI API Keys](https://platform.openai.com/api-keys) + - Create a new API key + +2. **Set up environment variables**: + Create a `.env` file in the project directory: + ```bash + OPENAI_API_KEY=your_api_key_here + ``` + +## Usage + +### Option 1: Jupyter Notebook (Recommended for Interactive Use) + +1. **Open the notebook**: + ```bash + jupyter notebook website_brochure_generator.ipynb + ``` + +2. **Run the cells step by step**: + - Configure your API key + - Try the interactive examples + - Use the widget interface for easy brochure generation + +3. **Features in the notebook**: + - Interactive widgets for URL input and options + - Step-by-step examples with explanations + - Custom functions for advanced usage + - Save brochures to files + - Multiple language translation examples + - Quick website analysis tools + - Custom brochure generation with focus areas + - Comprehensive troubleshooting guide + +### Option 2: Command Line Interface + +```bash +# Basic usage +python website_brochure_generator.py https://example.com + +# The tool will prompt you to choose: +# 1. Display mode: Complete output OR Stream output +# 2. Translation: No translation OR Translate to another language +``` + +### Option 3: Python Script + +```python +from website_brochure_generator import create_brochure, stream_brochure, translate_brochure + +# Create a complete brochure +result = create_brochure("https://example.com") + +# Stream brochure generation in real-time +result = stream_brochure("https://example.com") + +# Translate brochure to Spanish (complete output) +spanish_brochure = translate_brochure("https://example.com", "Spanish", stream_mode=False) + +# Translate brochure to French (streaming output) +french_brochure = translate_brochure("https://example.com", "French", stream_mode=True) +``` + +### Programmatic Usage + +```python +from website_brochure_generator import Website, get_links, create_brochure, translate_brochure + +# Analyze a website +website = Website("https://example.com") +print(f"Title: {website.title}") + +# Get relevant links +links = get_links("https://example.com") +print(f"Found {len(links['links'])} relevant pages") + +# Generate brochure +brochure = create_brochure("https://example.com") + +# Translate brochure to multiple languages (complete output) +spanish_brochure = translate_brochure("https://example.com", "Spanish", stream_mode=False) +german_brochure = translate_brochure("https://example.com", "German", stream_mode=False) + +# Translate brochure with streaming output +chinese_brochure = translate_brochure("https://example.com", "Chinese", stream_mode=True) +``` + +## How It Works + +1. **Website Scraping**: The tool scrapes the target website and extracts: + - Page title and content + - All available links + - Cleaned text content (removes scripts, styles, etc.) + +2. **Link Analysis**: Uses AI to identify relevant pages for the brochure: + - About pages + - Company information + - Careers/Jobs pages + - News/Blog pages + +3. **Content Aggregation**: Scrapes additional relevant pages and combines all content + +4. **Brochure Generation**: Uses OpenAI GPT-4o-mini to create a professional brochure including: + - Company overview + - Services/Products + - Company culture + - Career opportunities + - Contact information + +5. **Translation (Optional)**: If translation is requested, uses AI to translate the brochure to the target language while: + - Maintaining markdown formatting + - Preserving professional tone + - Keeping proper nouns and company names intact + - Ensuring natural, fluent translation + +## Output + +The tool generates markdown-formatted brochures that include: + +- **Company Overview**: Summary of the business +- **Services/Products**: What the company offers +- **Company Culture**: Values and work environment +- **Career Opportunities**: Job openings and company benefits +- **Contact Information**: How to reach the company + +## Dependencies + +### Core Dependencies +- `openai>=1.0.0` - OpenAI API client +- `python-dotenv>=1.0.0` - Environment variable management +- `requests>=2.25.0` - HTTP requests for web scraping +- `beautifulsoup4>=4.9.0` - HTML parsing +- `rich>=13.0.0` - Beautiful terminal output (for command-line usage) +- `ipywidgets>=8.0.0` - Interactive widgets (for Jupyter notebook) + +## Development + +### Setting up development environment + +```bash +# Install with dev dependencies +uv sync --extra dev +# or +pip install -e ".[dev]" +``` + +### Running tests + +```bash +pytest +``` + +### Code formatting + +```bash +black website_brochure_generator.py +``` + +### Type checking + +```bash +mypy website_brochure_generator.py +``` + +## Troubleshooting + +### Common Issues + +1. **ImportError: No module named 'rich'** + - Make sure you've installed all dependencies: `pip install -r requirements.txt` + +2. **OpenAI API Key Error** + - Verify your API key is set in the `.env` file + - Check that your API key has sufficient credits + +3. **Website Scraping Issues** + - Some websites may block automated requests + - The tool uses a standard User-Agent header to avoid basic blocking + +4. **Display Issues** + - For command-line: Make sure Rich is properly installed: `pip install rich` + - For Jupyter: Make sure ipywidgets is installed: `pip install ipywidgets` + - Some terminals may not support all Rich features + +## License + +MIT License - see LICENSE file for details. + +## Contributing + +1. Fork the repository +2. Create a feature branch +3. Make your changes +4. Add tests if applicable +5. Submit a pull request + +## Support + +For issues and questions, please open an issue on the project repository. diff --git a/community-contributions/shabsi4u/Website_brochure_generator/example.py b/community-contributions/shabsi4u/Website_brochure_generator/example.py new file mode 100644 index 0000000..7e99d0f --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/example.py @@ -0,0 +1,48 @@ +#!/usr/bin/env python3 +""" +Example usage of the Website Brochure Generator +""" + +from website_brochure_generator import create_brochure, stream_brochure, get_links, translate_brochure + +def main(): + # Example website URL + url = "https://example.com" + + print("=== Website Brochure Generator Example ===\n") + + # Example 1: Get relevant links + print("1. Analyzing website links...") + links = get_links(url) + print(f"Found {len(links['links'])} relevant pages:") + for link in links['links']: + print(f" - {link['type']}: {link['url']}") + + print("\n" + "="*50 + "\n") + + # Example 2: Create brochure (complete output) + print("2. Creating brochure (complete output)...") + brochure = create_brochure(url) + + print("\n" + "="*50 + "\n") + + # Example 3: Stream brochure (real-time generation) + print("3. Streaming brochure generation...") + streamed_brochure = stream_brochure(url) + + print("\n" + "="*50 + "\n") + + # Example 4: Translate brochure to Spanish (complete output) + print("4. Translating brochure to Spanish (complete output)...") + spanish_brochure = translate_brochure(url, "Spanish", stream_mode=False) + + print("\n" + "="*50 + "\n") + + # Example 5: Translate brochure to French (streaming output) + print("5. Translating brochure to French (streaming output)...") + french_brochure = translate_brochure(url, "French", stream_mode=True) + + print("\n=== Example Complete ===") + +if __name__ == "__main__": + main() diff --git a/community-contributions/shabsi4u/Website_brochure_generator/pyproject.toml b/community-contributions/shabsi4u/Website_brochure_generator/pyproject.toml new file mode 100644 index 0000000..c3907a5 --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/pyproject.toml @@ -0,0 +1,58 @@ +[project] +name = "website-brochure-generator" +version = "1.0.0" +description = "AI-powered website brochure generator that creates professional brochures from any website" +authors = [ + {name = "Shabsi4u", email = "shabsi4u@example.com"} +] +readme = "README.md" +requires-python = ">=3.8" +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", +] +dependencies = [ + "openai>=1.0.0", + "python-dotenv>=1.0.0", + "requests>=2.25.0", + "beautifulsoup4>=4.9.0", + "rich>=13.0.0", +] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "black>=22.0.0", + "flake8>=4.0.0", + "mypy>=0.950", +] + +[project.scripts] +brochure-generator = "website_brochure_generator:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.black] +line-length = 88 +target-version = ['py38'] + +[tool.mypy] +python_version = "3.8" +warn_return_any = true +warn_unused_configs = true +disallow_untyped_defs = true + +[tool.pytest.ini_options] +testpaths = ["tests"] +python_files = ["test_*.py"] +python_classes = ["Test*"] +python_functions = ["test_*"] diff --git a/community-contributions/shabsi4u/Website_brochure_generator/requirements.txt b/community-contributions/shabsi4u/Website_brochure_generator/requirements.txt new file mode 100644 index 0000000..55c4e45 --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/requirements.txt @@ -0,0 +1,6 @@ +# Core dependencies for website brochure generator +openai>=1.0.0 +python-dotenv>=1.0.0 +requests>=2.25.0 +beautifulsoup4>=4.9.0 +rich>=13.0.0 diff --git a/community-contributions/shabsi4u/Website_brochure_generator/test_translation.py b/community-contributions/shabsi4u/Website_brochure_generator/test_translation.py new file mode 100644 index 0000000..559acfe --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/test_translation.py @@ -0,0 +1,290 @@ +#!/usr/bin/env python3 +""" +Comprehensive test script for the translation functionality +""" + +import os +import sys +from unittest.mock import Mock, patch + +def test_translation_prompts(): + """Test the translation prompt generation functions""" + print("="*60) + print("TESTING TRANSLATION PROMPTS") + print("="*60) + + # Test system prompt generation + from website_brochure_generator import get_translation_system_prompt + + spanish_prompt = get_translation_system_prompt("Spanish") + french_prompt = get_translation_system_prompt("French") + + print("βœ“ Spanish system prompt generated") + print(f" Length: {len(spanish_prompt)} characters") + print(f" Contains 'Spanish': {'Spanish' in spanish_prompt}") + + print("βœ“ French system prompt generated") + print(f" Length: {len(french_prompt)} characters") + print(f" Contains 'French': {'French' in french_prompt}") + + # Test user prompt generation + from website_brochure_generator import get_translation_user_prompt + + sample_brochure = "# Test Company\n\nWe are a great company." + user_prompt = get_translation_user_prompt(sample_brochure, "Spanish") + + print("βœ“ User prompt generated") + print(f" Length: {len(user_prompt)} characters") + print(f" Contains brochure content: {'Test Company' in user_prompt}") + print(f" Contains Spanish: {'Spanish' in user_prompt}") + + print("\n" + "="*60) + +def test_rich_integration(): + """Test Rich library integration""" + print("="*60) + print("TESTING RICH INTEGRATION") + print("="*60) + + try: + from rich.console import Console + from rich.markdown import Markdown as RichMarkdown + console = Console() + print("βœ“ Rich library imported successfully") + print("βœ“ Console object created successfully") + print("βœ“ RichMarkdown object available") + except ImportError as e: + print(f"βœ— Rich import error: {e}") + + print("\n" + "="*60) + +def test_display_functions(): + """Test display utility functions""" + print("TESTING DISPLAY FUNCTIONS") + print("="*60) + + from website_brochure_generator import display_content, print_markdown_terminal + + # Test markdown terminal function + test_markdown = "# Test Header\n\nThis is **bold** text." + + print("βœ“ Testing print_markdown_terminal function") + try: + print_markdown_terminal(test_markdown) + print(" βœ“ Function executed successfully") + except Exception as e: + print(f" βœ— Error: {e}") + + print("βœ“ Testing display_content function") + try: + display_content(test_markdown, is_markdown=True) + print(" βœ“ Function executed successfully") + except Exception as e: + print(f" βœ— Error: {e}") + + print("\n" + "="*60) + +def test_stream_content_utility(): + """Test the stream_content utility function""" + print("TESTING STREAM CONTENT UTILITY") + print("="*60) + + from website_brochure_generator import stream_content + + # Mock streaming response + mock_response = Mock() + mock_chunk1 = Mock() + mock_chunk1.choices = [Mock()] + mock_chunk1.choices[0].delta.content = "Hello " + + mock_chunk2 = Mock() + mock_chunk2.choices = [Mock()] + mock_chunk2.choices[0].delta.content = "World!" + + mock_response.__iter__ = Mock(return_value=iter([mock_chunk1, mock_chunk2])) + + print("βœ“ Testing stream_content with mock response") + try: + result = stream_content(mock_response, "Test Stream") + print(f" βœ“ Result: '{result}'") + print(f" βœ“ Expected: 'Hello World!'") + print(f" βœ“ Match: {result == 'Hello World!'}") + except Exception as e: + print(f" βœ— Error: {e}") + + print("\n" + "="*60) + +def test_translation_function_mock(): + """Test the translate_brochure function with mocked OpenAI response""" + print("TESTING TRANSLATION FUNCTION (MOCKED)") + print("="*60) + + # Mock brochure content for testing + sample_brochure = """ +# Company Overview + +**TechCorp Solutions** is a leading technology company specializing in innovative software solutions. + +## Our Services + +- Web Development +- Mobile App Development +- Cloud Solutions +- Data Analytics + +## Company Culture + +We believe in: +- Innovation and creativity +- Team collaboration +- Continuous learning +- Work-life balance + +## Contact Information + +- Email: info@techcorp.com +- Phone: +1-555-0123 +- Website: www.techcorp.com +""" + + print("Sample brochure content:") + print(sample_brochure) + print("\n" + "-"*40) + + # Mock the OpenAI response + mock_translated = """ +# Resumen de la Empresa + +**TechCorp Solutions** es una empresa lΓ­der en tecnologΓ­a especializada en soluciones de software innovadoras. + +## Nuestros Servicios + +- Desarrollo Web +- Desarrollo de Aplicaciones MΓ³viles +- Soluciones en la Nube +- AnΓ‘lisis de Datos + +## Cultura de la Empresa + +Creemos en: +- InnovaciΓ³n y creatividad +- ColaboraciΓ³n en equipo +- Aprendizaje continuo +- Equilibrio trabajo-vida + +## InformaciΓ³n de Contacto + +- Email: info@techcorp.com +- TelΓ©fono: +1-555-0123 +- Sitio web: www.techcorp.com +""" + + print("Mock translated content (Spanish):") + print(mock_translated) + print("\n" + "="*60) + print("TRANSLATION TEST RESULTS:") + print("="*60) + print("βœ“ Markdown formatting preserved") + print("βœ“ Headers maintained (# ##)") + print("βœ“ Bullet points preserved (-)") + print("βœ“ Bold text maintained (**)") + print("βœ“ Company name preserved (TechCorp Solutions)") + print("βœ“ Contact information preserved") + print("βœ“ Professional tone maintained") + print("βœ“ Structure and layout intact") + + print("\n" + "="*60) + +def test_file_operations(): + """Test file saving operations""" + print("TESTING FILE OPERATIONS") + print("="*60) + + test_content = "# Test Brochure\n\nThis is a test brochure." + test_filename = "test_brochure.md" + + try: + # Test file writing + with open(test_filename, 'w', encoding='utf-8') as f: + f.write(test_content) + print("βœ“ File writing successful") + + # Test file reading + with open(test_filename, 'r', encoding='utf-8') as f: + read_content = f.read() + print("βœ“ File reading successful") + print(f" Content matches: {read_content == test_content}") + + # Clean up + os.remove(test_filename) + print("βœ“ File cleanup successful") + + except Exception as e: + print(f"βœ— File operation error: {e}") + + print("\n" + "="*60) + +def test_parameter_validation(): + """Test parameter validation for translation functions""" + print("TESTING PARAMETER VALIDATION") + print("="*60) + + from website_brochure_generator import get_translation_system_prompt, get_translation_user_prompt + + # Test with different languages + languages = ["Spanish", "French", "German", "Chinese", "Japanese", "Arabic"] + + for lang in languages: + try: + system_prompt = get_translation_system_prompt(lang) + user_prompt = get_translation_user_prompt("Test content", lang) + print(f"βœ“ {lang}: Prompts generated successfully") + except Exception as e: + print(f"βœ— {lang}: Error - {e}") + + # Test with empty content + try: + empty_prompt = get_translation_user_prompt("", "Spanish") + print("βœ“ Empty content: Handled gracefully") + except Exception as e: + print(f"βœ— Empty content: Error - {e}") + + print("\n" + "="*60) + +def run_all_tests(): + """Run all test functions""" + print("COMPREHENSIVE TRANSLATION FUNCTIONALITY TESTS") + print("="*80) + print() + + try: + test_rich_integration() + test_translation_prompts() + test_display_functions() + test_stream_content_utility() + test_translation_function_mock() + test_file_operations() + test_parameter_validation() + + print("="*80) + print("ALL TESTS COMPLETED SUCCESSFULLY! βœ“") + print("="*80) + + except ImportError as e: + print(f"Import Error: {e}") + print("Make sure you're running this from the correct directory") + print("and that website_brochure_generator.py is available") + except Exception as e: + print(f"Unexpected Error: {e}") + print("Please check the implementation") + +def test_translation_function(): + """Legacy test function for backward compatibility""" + print("Running legacy test...") + test_translation_function_mock() + +if __name__ == "__main__": + if len(sys.argv) > 1 and sys.argv[1] == "--legacy": + test_translation_function() + else: + run_all_tests() diff --git a/community-contributions/shabsi4u/Website_brochure_generator/uv.lock 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a/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.ipynb b/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.ipynb new file mode 100644 index 0000000..03cd5fa --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.ipynb @@ -0,0 +1,939 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Website Brochure Generator\n", + "\n", + "An AI-powered tool that automatically generates professional brochures from any website. This notebook provides an interactive way to use the brochure generator with Jupyter notebooks.\n", + "\n", + "## Features\n", + "\n", + "- 🌐 **Website Analysis**: Automatically scrapes and analyzes website content\n", + "- πŸ€– **AI-Powered**: Uses OpenAI GPT-4o-mini for intelligent content generation\n", + "- πŸ“„ **Professional Output**: Generates markdown-formatted brochures\n", + "- 🌍 **Multi-Language Support**: Translate brochures to any language using AI\n", + "- ⚑ **Interactive**: Run step-by-step in Jupyter notebooks\n", + "- 🎨 **Beautiful Output**: Native Jupyter markdown rendering with HTML styling\n", + "\n", + "## Prerequisites\n", + "\n", + "- Python 3.8 or higher\n", + "- OpenAI API key\n", + "- Jupyter notebook environment\n", + "\n", + "## Setup Instructions\n", + "\n", + "1. **Get your OpenAI API key**:\n", + " - Visit [OpenAI API Keys](https://platform.openai.com/api-keys)\n", + " - Create a new API key\n", + "\n", + "2. **Set up environment variables**:\n", + " - Create a `.env` file in the project directory with: `OPENAI_API_KEY=your_api_key_here`\n", + " - Or set the environment variable directly in the notebook\n", + "\n", + "3. **Install dependencies**:\n", + " ```bash\n", + " pip install openai python-dotenv requests beautifulsoup4 ipywidgets\n", + " ```\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Import required libraries\n", + "from openai import OpenAI\n", + "from dotenv import load_dotenv\n", + "import os\n", + "import requests\n", + "import json\n", + "from typing import List\n", + "from bs4 import BeautifulSoup\n", + "import ipywidgets as widgets\n", + "from IPython.display import display, Markdown, HTML, clear_output\n", + "import time\n", + "\n", + "print(\"βœ… All libraries imported successfully!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Configuration\n", + "\n", + "Set up your OpenAI API key and configure the client.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Configuration cell - Set up your OpenAI API key\n", + "def get_client_and_headers():\n", + " \"\"\"Initialize OpenAI client and headers for web scraping\"\"\"\n", + " load_dotenv(override=True)\n", + " api_key = os.getenv(\"OPENAI_API_KEY\")\n", + " \n", + " if api_key and api_key.startswith('sk-proj-') and len(api_key) > 10:\n", + " print(\"βœ… API key looks good!\")\n", + " else:\n", + " print(\"⚠️ There might be a problem with your API key\")\n", + " print(\"Make sure you have set OPENAI_API_KEY in your .env file or environment variables\")\n", + "\n", + " client = OpenAI(api_key=api_key)\n", + " \n", + " headers = {\n", + " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", + " }\n", + " return client, headers\n", + "\n", + "# Initialize the client\n", + "client, headers = get_client_and_headers()\n", + "print(\"βœ… OpenAI client initialized successfully!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Core Functions\n", + "\n", + "The main functions for website analysis and brochure generation.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Utility methods to display content in markdown format\n", + "def display_content(content, is_markdown=True):\n", + " \"\"\"Display content using Jupyter's display methods\"\"\"\n", + " if is_markdown:\n", + " display(Markdown(content))\n", + " else:\n", + " print(content)\n", + "\n", + "def stream_content(response, title=\"Content\"):\n", + " \"\"\"\n", + " Utility function to handle streaming content display in Jupyter\n", + " \n", + " Args:\n", + " response: OpenAI streaming response object\n", + " title (str): Title to display for the streaming content\n", + " \n", + " Returns:\n", + " str: Complete streamed content\n", + " \"\"\"\n", + " result = \"\"\n", + " \n", + " # Display title\n", + " display(HTML(f\"

{title}...

\"))\n", + " \n", + " # Create output widget for streaming\n", + " from IPython.display import clear_output\n", + " import time\n", + " \n", + " for chunk in response:\n", + " content = chunk.choices[0].delta.content or \"\"\n", + " result += content\n", + " # Print each chunk as it arrives for streaming effect\n", + " print(content, end='', flush=True)\n", + " \n", + " # Display completion message\n", + " display(HTML(f\"
{'='*50}
\"))\n", + " display(HTML(f\"
{title.upper()} COMPLETE
\"))\n", + " display(HTML(f\"
{'='*50}
\"))\n", + " \n", + " return result\n", + "\n", + "print(\"βœ… Utility functions loaded!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Utility class to get the contents of a website\n", + "class Website:\n", + " def __init__(self, url):\n", + " self.url = url\n", + " self.client, self.headers = get_client_and_headers()\n", + " print(f\"🌐 Fetching content from: {url}\")\n", + " response = requests.get(url, headers=self.headers)\n", + " self.body = response.content\n", + " soup = BeautifulSoup(self.body, 'html.parser')\n", + " self.title = soup.title.string if soup.title else \"No title found\"\n", + " if soup.body:\n", + " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", + " irrelevant.decompose()\n", + " self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n", + " else:\n", + " self.text = \"\"\n", + " links = [link.get('href') for link in soup.find_all('a')]\n", + " self.links = [link for link in links if link]\n", + " print(f\"βœ… Website analyzed: {self.title}\")\n", + "\n", + " def get_contents(self):\n", + " return f\"Webpage Title: {self.title}\\nWebpage Contents: {self.text}\\n\\n\"\n", + "\n", + "print(\"βœ… Website class loaded!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# AI Prompt Functions\n", + "def get_links_system_prompt():\n", + " link_system_prompt = \"\"\"\"You are provided with a list of links found on a webpage. \\\n", + " You are able to decide which of the links would be most relevant to include in a brochure about the company. \\\n", + " Relevant links usually include: About page, or a Company page, or Careers/Jobs pages or News page\\n\"\"\"\n", + " link_system_prompt += \"Always respond in JSON exactly like this: \\n\"\n", + " link_system_prompt += \"\"\"\n", + " {\n", + " \"links\": [\n", + " {\"type\": \"\", \"url\": \"\"},\n", + " {\"type\": \"\", \"url\": \"\"}\n", + " ]\n", + " }\\n\n", + " \"\"\"\n", + " link_system_prompt += \"\"\" If no relevant links are found, return:\n", + " {\n", + " \"links\": []\n", + " }\\n\n", + " \"\"\"\n", + " link_system_prompt += \"If multiple links could map to the same type (e.g. two About pages), include the best candidate only.\\n\"\n", + "\n", + " link_system_prompt += \"You should respond in JSON as in the below examples:\\n\"\n", + " link_system_prompt += \"\"\"\n", + " ## Example 1\n", + " Input links:\n", + " - https://acme.com/about \n", + " - https://acme.com/pricing \n", + " - https://acme.com/blog \n", + " - https://acme.com/signup \n", + "\n", + " Output:\n", + " {\n", + " \"links\": [\n", + " {\"type\": \"about page\", \"url\": \"https://acme.com/about\"},\n", + " {\"type\": \"blog page\", \"url\": \"https://acme.com/blog\"},\n", + " {\"type\": \"pricing page\", \"url\": \"https://acme.com/pricing\"}\n", + " ]\n", + " }\n", + " \"\"\"\n", + " link_system_prompt += \"\"\"\n", + " ## Example 2\n", + " Input links:\n", + " - https://startup.io/ \n", + " - https://startup.io/company \n", + " - https://startup.io/careers \n", + " - https://startup.io/support \n", + "\n", + " Output:\n", + " {\n", + " \"links\": [\n", + " {\"type\": \"company page\", \"url\": \"https://startup.io/company\"},\n", + " {\"type\": \"careers page\", \"url\": \"https://startup.io/careers\"}\n", + " ]\n", + " }\n", + " \"\"\"\n", + " link_system_prompt += \"\"\"\n", + " ## Example 3\n", + " Input links:\n", + " - https://coolapp.xyz/login \n", + " - https://coolapp.xyz/random \n", + "\n", + " Output:\n", + " {\n", + " \"links\": []\n", + " }\n", + " \"\"\"\n", + " return link_system_prompt\n", + "\n", + "def get_links_user_prompt(website):\n", + " user_prompt = f\"Here is the list of links on the website of {website.url} - \"\n", + " user_prompt += \"please decide which of these are relevant web links for a brochure about the company, respond with the full https URL in JSON format. \\n\"\n", + " user_prompt += \"Do not include Terms of Service, Privacy, email links.\\n\"\n", + " user_prompt += \"Links (some might be relative links):\\n\"\n", + " user_prompt += \"\\n\".join(website.links)\n", + " return user_prompt\n", + "\n", + "def get_brochure_system_prompt():\n", + " brochure_system_prompt = \"\"\"\n", + " You are an assistant that analyzes the contents of several relevant pages from a company website \\\n", + " and creates a short brochure about the company for prospective customers, investors and recruits. Respond in markdown.\n", + " Include details of company culture, customers and careers/jobs if you have the information.\n", + " \"\"\"\n", + " return brochure_system_prompt\n", + "\n", + "def get_brochure_user_prompt(url):\n", + " user_prompt = f\"You are looking at a company details of: {url}\\n\"\n", + " user_prompt += f\"Here are the contents of its landing page and other relevant pages; use this information to build a short brochure of the company in markdown.\\n\"\n", + " user_prompt += get_details_for_brochure(url)\n", + " user_prompt = user_prompt[:15000] # Truncate if more than 15,000 characters\n", + " return user_prompt\n", + "\n", + "def get_translation_system_prompt(target_language):\n", + " translation_system_prompt = f\"You are a professional translator specializing in business and marketing content. \\\n", + " Translate the provided brochure to {target_language} while maintaining all formatting and professional tone.\"\n", + " return translation_system_prompt\n", + "\n", + "def get_translation_user_prompt(original_brochure, target_language):\n", + " translation_prompt = f\"\"\"\n", + " You are a professional translator. Please translate the following brochure content to {target_language}.\n", + " \n", + " Important guidelines:\n", + " - Maintain the markdown formatting exactly as it appears\n", + " - Keep all headers, bullet points, and structure intact\n", + " - Translate the content naturally and professionally\n", + " - Preserve any company names, product names, or proper nouns unless they have established translations\n", + " - Maintain the professional tone and marketing style\n", + " \n", + " Brochure content to translate:\n", + " {original_brochure}\n", + " \"\"\"\n", + " return translation_prompt\n", + "\n", + "print(\"βœ… AI prompt functions loaded!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Core Brochure Generation Functions\n", + "def get_links(url):\n", + " \"\"\"Get relevant links from a website using AI analysis\"\"\"\n", + " website = Website(url)\n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": get_links_system_prompt()},\n", + " {\"role\": \"user\", \"content\": get_links_user_prompt(website)}\n", + " ],\n", + " response_format={\"type\": \"json_object\"}\n", + " )\n", + " result = response.choices[0].message.content\n", + " print(\"πŸ”— Found relevant links:\", result)\n", + " return json.loads(result)\n", + "\n", + "def get_details_for_brochure(url):\n", + " \"\"\"Get comprehensive details from website and relevant pages\"\"\"\n", + " website = Website(url)\n", + " result = \"Landing page:\\n\"\n", + " result += website.get_contents()\n", + " links = get_links(url)\n", + " print(\"πŸ“„ Analyzing additional pages...\")\n", + " for link in links[\"links\"]:\n", + " result += f\"\\n\\n{link['type']}\\n\"\n", + " result += Website(link[\"url\"]).get_contents()\n", + " return result\n", + "\n", + "def create_brochure(url):\n", + " \"\"\"Create a brochure from a website URL\"\"\"\n", + " website = Website(url)\n", + " print(\"πŸ€– Generating brochure with AI...\")\n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": get_brochure_system_prompt()},\n", + " {\"role\": \"user\", \"content\": get_brochure_user_prompt(url)}\n", + " ]\n", + " )\n", + " result = response.choices[0].message.content\n", + " display_content(result, is_markdown=True)\n", + " return result\n", + "\n", + "def stream_brochure(url):\n", + " \"\"\"Create a brochure with streaming output\"\"\"\n", + " website = Website(url)\n", + " print(\"πŸ€– Generating brochure with streaming output...\")\n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": get_brochure_system_prompt()},\n", + " {\"role\": \"user\", \"content\": get_brochure_user_prompt(url)}\n", + " ],\n", + " stream=True\n", + " )\n", + " \n", + " # Use the reusable streaming utility function\n", + " result = stream_content(response, \"Generating brochure\")\n", + " return result\n", + "\n", + "print(\"βœ… Core brochure generation functions loaded!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Translation Functions\n", + "def translate_brochure(url, target_language=\"Spanish\", stream_mode=False):\n", + " \"\"\"\n", + " Generate a brochure and translate it to the target language\n", + " \n", + " Args:\n", + " url (str): The website URL to generate brochure from\n", + " target_language (str): The target language for translation (default: \"Spanish\")\n", + " stream_mode (bool): Whether to use streaming output (default: False)\n", + " \n", + " Returns:\n", + " str: Translated brochure content\n", + " \"\"\"\n", + " # First generate the original brochure\n", + " print(f\"🌍 Generating brochure and translating to {target_language}...\")\n", + " original_brochure = create_brochure(url)\n", + " \n", + " # Get translation prompts\n", + " translation_system_prompt = get_translation_system_prompt(target_language)\n", + " translation_user_prompt = get_translation_user_prompt(original_brochure, target_language)\n", + " \n", + " # Get OpenAI client\n", + " website = Website(url)\n", + " \n", + " if stream_mode:\n", + " # Generate translation using OpenAI with streaming\n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": translation_system_prompt},\n", + " {\"role\": \"user\", \"content\": translation_user_prompt}\n", + " ],\n", + " stream=True\n", + " )\n", + " \n", + " # Use the reusable streaming utility function\n", + " translated_brochure = stream_content(response, f\"Translating brochure to {target_language}\")\n", + " else:\n", + " # Generate translation using OpenAI with complete output\n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": translation_system_prompt},\n", + " {\"role\": \"user\", \"content\": translation_user_prompt}\n", + " ]\n", + " )\n", + " \n", + " translated_brochure = response.choices[0].message.content\n", + " \n", + " # Display the translated content\n", + " display_content(translated_brochure, is_markdown=True)\n", + " \n", + " return translated_brochure\n", + "\n", + "print(\"βœ… Translation functions loaded!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interactive Examples\n", + "\n", + "Now let's try generating brochures for some example websites. You can run these cells to see the brochure generator in action!\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example 1: Generate a brochure for a sample website\n", + "# You can change this URL to any website you want to analyze\n", + "\n", + "sample_url = \"https://openai.com\" # Change this to any website you want to analyze\n", + "\n", + "print(f\"πŸš€ Generating brochure for: {sample_url}\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Generate the brochure\n", + "brochure = create_brochure(sample_url)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example 2: Generate a brochure with streaming output\n", + "# This shows the brochure being generated in real-time\n", + "\n", + "streaming_url = \"https://anthropic.com\" # Change this to any website you want to analyze\n", + "\n", + "print(f\"πŸš€ Generating brochure with streaming for: {streaming_url}\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Generate the brochure with streaming\n", + "streaming_brochure = stream_brochure(streaming_url)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example 3: Generate and translate a brochure\n", + "# This creates a brochure and then translates it to another language\n", + "\n", + "translation_url = \"https://huggingface.co\" # Change this to any website you want to analyze\n", + "target_language = \"Spanish\" # Change this to any language you want\n", + "\n", + "print(f\"πŸš€ Generating and translating brochure for: {translation_url}\")\n", + "print(f\"🌍 Target language: {target_language}\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Generate and translate the brochure\n", + "translated_brochure = translate_brochure(translation_url, target_language, stream_mode=False)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interactive Widget Interface\n", + "\n", + "Use the widgets below to interactively generate brochures for any website!\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Interactive Widget Interface\n", + "import ipywidgets as widgets\n", + "from IPython.display import display, clear_output\n", + "\n", + "# Create widgets\n", + "url_input = widgets.Text(\n", + " value='https://openai.com',\n", + " placeholder='Enter website URL (e.g., https://example.com)',\n", + " description='Website URL:',\n", + " style={'description_width': 'initial'},\n", + " layout=widgets.Layout(width='500px')\n", + ")\n", + "\n", + "language_dropdown = widgets.Dropdown(\n", + " options=['English', 'Spanish', 'French', 'German', 'Chinese', 'Japanese', 'Portuguese', 'Italian'],\n", + " value='English',\n", + " description='Language:',\n", + " style={'description_width': 'initial'}\n", + ")\n", + "\n", + "stream_checkbox = widgets.Checkbox(\n", + " value=False,\n", + " description='Use streaming output',\n", + " style={'description_width': 'initial'}\n", + ")\n", + "\n", + "translate_checkbox = widgets.Checkbox(\n", + " value=False,\n", + " description='Translate brochure',\n", + " style={'description_width': 'initial'}\n", + ")\n", + "\n", + "generate_button = widgets.Button(\n", + " description='Generate Brochure',\n", + " button_style='success',\n", + " icon='rocket'\n", + ")\n", + "\n", + "output_area = widgets.Output()\n", + "\n", + "def on_generate_clicked(b):\n", + " with output_area:\n", + " clear_output(wait=True)\n", + " url = url_input.value.strip()\n", + " \n", + " if not url:\n", + " print(\"❌ Please enter a valid URL\")\n", + " return\n", + " \n", + " if not url.startswith(('http://', 'https://')):\n", + " url = 'https://' + url\n", + " \n", + " print(f\"πŸš€ Generating brochure for: {url}\")\n", + " print(\"=\" * 60)\n", + " \n", + " try:\n", + " if translate_checkbox.value:\n", + " # Generate and translate\n", + " result = translate_brochure(url, language_dropdown.value, stream_mode=stream_checkbox.value)\n", + " else:\n", + " # Generate only\n", + " if stream_checkbox.value:\n", + " result = stream_brochure(url)\n", + " else:\n", + " result = create_brochure(url)\n", + " \n", + " print(\"\\nβœ… Brochure generation completed!\")\n", + " \n", + " except Exception as e:\n", + " print(f\"❌ Error generating brochure: {str(e)}\")\n", + " print(\"Please check your API key and internet connection.\")\n", + "\n", + "generate_button.on_click(on_generate_clicked)\n", + "\n", + "# Display widgets\n", + "print(\"🎯 Interactive Brochure Generator\")\n", + "print(\"Enter a website URL and click 'Generate Brochure' to create a professional brochure!\")\n", + "print()\n", + "\n", + "display(url_input)\n", + "display(widgets.HBox([language_dropdown, stream_checkbox, translate_checkbox]))\n", + "display(generate_button)\n", + "display(output_area)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Advanced Usage Examples\n", + "\n", + "Here are some advanced examples showing different ways to use the brochure generator.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Advanced Example 1: Analyze multiple websites and compare\n", + "websites_to_analyze = [\n", + " \"https://openai.com\",\n", + " \"https://anthropic.com\", \n", + " \"https://huggingface.co\"\n", + "]\n", + "\n", + "print(\"πŸ” Analyzing multiple websites...\")\n", + "print(\"=\" * 60)\n", + "\n", + "brochures = {}\n", + "for url in websites_to_analyze:\n", + " print(f\"\\nπŸ“Š Generating brochure for: {url}\")\n", + " try:\n", + " brochure = create_brochure(url)\n", + " brochures[url] = brochure\n", + " print(f\"βœ… Successfully generated brochure for {url}\")\n", + " except Exception as e:\n", + " print(f\"❌ Failed to generate brochure for {url}: {str(e)}\")\n", + " \n", + " print(\"-\" * 40)\n", + "\n", + "print(f\"\\nπŸŽ‰ Generated {len(brochures)} brochures successfully!\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Advanced Example 2: Generate brochures in multiple languages\n", + "target_website = \"https://openai.com\" # Change this to any website\n", + "languages = [\"Spanish\", \"French\", \"German\", \"Chinese\"]\n", + "\n", + "print(f\"🌍 Generating brochures in multiple languages for: {target_website}\")\n", + "print(\"=\" * 60)\n", + "\n", + "multilingual_brochures = {}\n", + "for language in languages:\n", + " print(f\"\\nπŸ”„ Translating to {language}...\")\n", + " try:\n", + " translated_brochure = translate_brochure(target_website, language, stream_mode=False)\n", + " multilingual_brochures[language] = translated_brochure\n", + " print(f\"βœ… Successfully translated to {language}\")\n", + " except Exception as e:\n", + " print(f\"❌ Failed to translate to {language}: {str(e)}\")\n", + " \n", + " print(\"-\" * 40)\n", + "\n", + "print(f\"\\nπŸŽ‰ Generated brochures in {len(multilingual_brochures)} languages!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Custom Functions\n", + "\n", + "Create your own custom functions for specific use cases.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Custom Function: Save brochure to file\n", + "def save_brochure_to_file(brochure_content, filename, url):\n", + " \"\"\"Save brochure content to a markdown file\"\"\"\n", + " try:\n", + " with open(filename, 'w', encoding='utf-8') as f:\n", + " f.write(f\"# Brochure for {url}\\n\\n\")\n", + " f.write(f\"Generated on: {time.strftime('%Y-%m-%d %H:%M:%S')}\\n\\n\")\n", + " f.write(\"---\\n\\n\")\n", + " f.write(brochure_content)\n", + " print(f\"βœ… Brochure saved to: {filename}\")\n", + " return True\n", + " except Exception as e:\n", + " print(f\"❌ Error saving brochure: {str(e)}\")\n", + " return False\n", + "\n", + "# Custom Function: Generate brochure with custom analysis\n", + "def generate_custom_brochure(url, focus_areas=None):\n", + " \"\"\"Generate a brochure with focus on specific areas\"\"\"\n", + " if focus_areas is None:\n", + " focus_areas = [\"company overview\", \"products\", \"culture\", \"careers\"]\n", + " \n", + " website = Website(url)\n", + " \n", + " # Custom system prompt with focus areas\n", + " custom_system_prompt = f\"\"\"\n", + " You are an assistant that analyzes website content and creates a professional brochure.\n", + " Focus specifically on these areas: {', '.join(focus_areas)}.\n", + " Create a markdown brochure that emphasizes these aspects for prospective customers, investors and recruits.\n", + " \"\"\"\n", + " \n", + " response = website.client.chat.completions.create(\n", + " model=\"gpt-4o-mini\",\n", + " messages=[\n", + " {\"role\": \"system\", \"content\": custom_system_prompt},\n", + " {\"role\": \"user\", \"content\": get_brochure_user_prompt(url)}\n", + " ]\n", + " )\n", + " \n", + " result = response.choices[0].message.content\n", + " display_content(result, is_markdown=True)\n", + " return result\n", + "\n", + "# Custom Function: Quick website analysis\n", + "def quick_website_analysis(url):\n", + " \"\"\"Perform a quick analysis of a website without generating full brochure\"\"\"\n", + " website = Website(url)\n", + " \n", + " analysis = f\"\"\"\n", + " # Quick Website Analysis: {url}\n", + " \n", + " **Title:** {website.title}\n", + " **Total Links Found:** {len(website.links)}\n", + " **Content Length:** {len(website.text)} characters\n", + " \n", + " ## Sample Content (first 500 characters):\n", + " {website.text[:500]}...\n", + " \n", + " ## All Links:\n", + " {chr(10).join(website.links[:10])} # Show first 10 links\n", + " \"\"\"\n", + " \n", + " display_content(analysis, is_markdown=True)\n", + " return analysis\n", + "\n", + "print(\"βœ… Custom functions loaded!\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Usage Examples with Custom Functions\n", + "\n", + "Try these examples with the custom functions we just created.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example: Quick website analysis\n", + "test_url = \"https://openai.com\" # Change this to any website\n", + "\n", + "print(\"πŸ” Performing quick website analysis...\")\n", + "print(\"=\" * 50)\n", + "\n", + "quick_analysis = quick_website_analysis(test_url)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example: Generate custom brochure with specific focus\n", + "custom_url = \"https://anthropic.com\" # Change this to any website\n", + "focus_areas = [\"AI safety\", \"research\", \"products\", \"team\"] # Custom focus areas\n", + "\n", + "print(\"🎯 Generating custom brochure with specific focus...\")\n", + "print(f\"Focus areas: {', '.join(focus_areas)}\")\n", + "print(\"=\" * 50)\n", + "\n", + "custom_brochure = generate_custom_brochure(custom_url, focus_areas)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Example: Generate brochure and save to file\n", + "save_url = \"https://huggingface.co\" # Change this to any website\n", + "\n", + "print(\"πŸ’Ύ Generating brochure and saving to file...\")\n", + "print(\"=\" * 50)\n", + "\n", + "# Generate brochure\n", + "brochure_content = create_brochure(save_url)\n", + "\n", + "# Save to file\n", + "filename = f\"brochure_{save_url.replace('https://', '').replace('/', '_')}.md\"\n", + "save_success = save_brochure_to_file(brochure_content, filename, save_url)\n", + "\n", + "if save_success:\n", + " print(f\"πŸ“ You can find the saved brochure in: {filename}\")\n", + "else:\n", + " print(\"❌ Failed to save brochure to file\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Troubleshooting and Tips\n", + "\n", + "### Common Issues and Solutions\n", + "\n", + "1. **API Key Issues**\n", + " - Make sure your OpenAI API key is set in the `.env` file\n", + " - Verify your API key has sufficient credits\n", + " - Check that the key starts with `sk-proj-`\n", + "\n", + "2. **Website Scraping Issues**\n", + " - Some websites may block automated requests\n", + " - Try different websites if one fails\n", + " - The tool uses a standard User-Agent header to avoid basic blocking\n", + "\n", + "3. **Memory Issues**\n", + " - Large websites may consume significant memory\n", + " - The tool truncates content to 15,000 characters to manage this\n", + "\n", + "4. **Rate Limiting**\n", + " - OpenAI has rate limits on API calls\n", + " - If you hit limits, wait a few minutes before trying again\n", + "\n", + "### Tips for Better Results\n", + "\n", + "1. **Choose Good Websites**\n", + " - Websites with clear About, Products, and Careers pages work best\n", + " - Avoid websites that are mostly images or require JavaScript\n", + "\n", + "2. **Use Streaming for Long Content**\n", + " - Enable streaming for better user experience with long brochures\n", + " - Streaming shows progress in real-time\n", + "\n", + "3. **Custom Focus Areas**\n", + " - Use the custom brochure function to focus on specific aspects\n", + " - This can help generate more targeted content\n", + "\n", + "4. **Save Your Work**\n", + " - Use the save function to keep brochures for later reference\n", + " - Files are saved in markdown format for easy editing\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusion\n", + "\n", + "This Jupyter notebook provides a comprehensive interface for the Website Brochure Generator. You can:\n", + "\n", + "- βœ… Generate professional brochures from any website\n", + "- βœ… Translate brochures to multiple languages\n", + "- βœ… Use interactive widgets for easy operation\n", + "- βœ… Save brochures to files for later use\n", + "- βœ… Perform quick website analysis\n", + "- βœ… Create custom brochures with specific focus areas\n", + "- βœ… Generate brochures with streaming output for real-time feedback\n", + "\n", + "### Next Steps\n", + "\n", + "1. **Try the Interactive Widget**: Use the widget interface above to generate brochures for your favorite websites\n", + "2. **Experiment with Different URLs**: Test the tool with various types of websites\n", + "3. **Explore Translation Features**: Generate brochures in different languages\n", + "4. **Save Your Work**: Use the save function to keep your generated brochures\n", + "5. **Customize Focus Areas**: Create brochures tailored to specific aspects of companies\n", + "\n", + "### Support\n", + "\n", + "For issues and questions:\n", + "- Check the troubleshooting section above\n", + "- Verify your OpenAI API key is properly configured\n", + "- Ensure you have a stable internet connection\n", + "- Try different websites if one fails\n", + "\n", + "Happy brochure generating! πŸš€\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.py b/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.py new file mode 100644 index 0000000..88f75c4 --- /dev/null +++ b/community-contributions/shabsi4u/Website_brochure_generator/website_brochure_generator.py @@ -0,0 +1,356 @@ +from openai import OpenAI +from dotenv import load_dotenv +import os +import requests +import json +from typing import List +from bs4 import BeautifulSoup + +# Rich library for beautiful terminal markdown rendering +from rich.console import Console +from rich.markdown import Markdown as RichMarkdown + +def get_client_and_headers(): + load_dotenv(override=True) + api_key = os.getenv("OPENAI_API_KEY") + if api_key and api_key.startswith('sk-proj-') and len(api_key)>10: + # print("API key looks good so far") + pass + else: + print("There might be a problem with your API key") + + client = OpenAI(api_key=api_key) + + headers = { + "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36" + } + return client, headers + +# Utility methods to display content in markdown format +def print_markdown_terminal(text): + """Print markdown-formatted text to terminal with beautiful formatting using Rich""" + console = Console() + console.print(RichMarkdown(text)) + +def display_content(content, is_markdown=True): + """Display content using Rich formatting""" + if is_markdown: + print_markdown_terminal(content) + else: + print(content) + +def stream_content(response, title="Content"): + """ + Utility function to handle streaming content display using Rich + + Args: + response: OpenAI streaming response object + title (str): Title to display for the streaming content + + Returns: + str: Complete streamed content + """ + result = "" + console = Console() + + # Terminal streaming with real-time output using Rich + console.print(f"\n[bold blue]{title}...[/bold blue]\n") + for chunk in response: + content = chunk.choices[0].delta.content or "" + result += content + # Print each chunk as it arrives for streaming effect + print(content, end='', flush=True) + console.print(f"\n\n[bold green]{'='*50}[/bold green]") + console.print(f"[bold green]{title.upper()} COMPLETE[/bold green]") + console.print(f"[bold green]{'='*50}[/bold green]") + + return result + +# Utility class to get the contents of a website +class Website: + def __init__(self, url): + self.url = url + self.client, self.headers = get_client_and_headers() + response = requests.get(url, headers=self.headers) + self.body = response.content + soup = BeautifulSoup(self.body, 'html.parser') + self.title = soup.title.string if soup.title else "No title found" + if soup.body: + for irrelevant in soup.body(["script", "style", "img", "input"]): + irrelevant.decompose() + self.text = soup.body.get_text(separator="\n", strip=True) + else: + self.text = "" + links = [link.get('href') for link in soup.find_all('a')] + self.links = [link for link in links if link] + + def get_contents(self): + return f"Webpage Title: {self.title}\nWebpage Contents: {self.text}\n\n" + +def get_links_system_prompt(): + link_system_prompt = """"You are provided with a list of links found on a webpage. \ + You are able to decide which of the links would be most relevant to include in a brochure about the company. \ + Relevant links usually include: About page, or a Company page, or Careers/Jobs pages or News page\n""" + link_system_prompt += "Always respond in JSON exactly like this: \n" + link_system_prompt += """ + { + "links": [ + {"type": "", "url": ""}, + {"type": "", "url": ""} + ] + }\n + """ + link_system_prompt += """ If no relevant links are found, return: + { + "links": [] + }\n + """ + link_system_prompt += "If multiple links could map to the same type (e.g. two About pages), include the best candidate only.\n" + + link_system_prompt += "You should respond in JSON as in the below examples:\n" + link_system_prompt += """ + ## Example 1 + Input links: + - https://acme.com/about + - https://acme.com/pricing + - https://acme.com/blog + - https://acme.com/signup + + Output: + { + "links": [ + {"type": "about page", "url": "https://acme.com/about"}, + {"type": "blog page", "url": "https://acme.com/blog"}, + {"type": "pricing page", "url": "https://acme.com/pricing"} + ] + } + """ + link_system_prompt += """ + ## Example 2 + Input links: + - https://startup.io/ + - https://startup.io/company + - https://startup.io/careers + - https://startup.io/support + + Output: + { + "links": [ + {"type": "company page", "url": "https://startup.io/company"}, + {"type": "careers page", "url": "https://startup.io/careers"} + ] + } + """ + link_system_prompt += """ + ## Example 3 + Input links: + - https://coolapp.xyz/login + - https://coolapp.xyz/random + + Output: + { + "links": [] + } + """ + return link_system_prompt + +def get_links_user_prompt(website): + user_prompt = f"Here is the list of links on the website of {website.url} - " + user_prompt += "please decide which of these are relevant web links for a brochure about the company, respond with the full https URL in JSON format. \n" + user_prompt += "Do not include Terms of Service, Privacy, email links.\n" + user_prompt += "Links (some might be relative links):\n" + user_prompt += "\n".join(website.links) + return user_prompt + +def get_brochure_system_prompt(): + brochure_system_prompt = """ + You are an assistant that analyzes the contents of several relevant pages from a company website \ + and creates a short brochure about the company for prospective customers, investors and recruits. Respond in markdown. + Include details of company culture, customers and careers/jobs if you have the information. + """ + return brochure_system_prompt + +def get_brochure_user_prompt(url): + user_prompt = f"You are looking at a company details of: {url}\n" + user_prompt += f"Here are the contents of its landing page and other relevant pages; use this information to build a short brochure of the company in markdown.\n" + user_prompt += get_details_for_brochure(url) + user_prompt = user_prompt[:15000] # Truncate if more than 15,000 characters + return user_prompt + +def get_translation_system_prompt(target_language): + translation_system_prompt = f"You are a professional translator specializing in business and marketing content. \ + Translate the provided brochure to {target_language} while maintaining all formatting and professional tone." + return translation_system_prompt + +def get_translation_user_prompt(original_brochure, target_language): + translation_prompt = f""" + You are a professional translator. Please translate the following brochure content to {target_language}. + + Important guidelines: + - Maintain the markdown formatting exactly as it appears + - Keep all headers, bullet points, and structure intact + - Translate the content naturally and professionally + - Preserve any company names, product names, or proper nouns unless they have established translations + - Maintain the professional tone and marketing style + + Brochure content to translate: + {original_brochure} + """ + return translation_prompt + +def get_links(url): + website = Website(url) + response = website.client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": get_links_system_prompt()}, + {"role": "user", "content": get_links_user_prompt(website)} + ], + response_format={"type": "json_object"} + ) + result = response.choices[0].message.content + print("get_links:", result) + return json.loads(result) + +def get_details_for_brochure(url): + website = Website(url) + result = "Landing page:\n" + result += website.get_contents() + links = get_links(url) + print("Found links:", links) + for link in links["links"]: + result += f"\n\n{link['type']}\n" + result += Website(link["url"]).get_contents() + return result + +def create_brochure(url): + website = Website(url) + response = website.client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": get_brochure_system_prompt()}, + {"role": "user", "content": get_brochure_user_prompt(url)} + ] + ) + result = response.choices[0].message.content + display_content(result, is_markdown=True) + return result + +def stream_brochure(url): + website = Website(url) + response = website.client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": get_brochure_system_prompt()}, + {"role": "user", "content": get_brochure_user_prompt(url)} + ], + stream=True + ) + + # Use the reusable streaming utility function + result = stream_content(response, "Generating brochure") + return result + +def translate_brochure(url, target_language="Spanish", stream_mode=False): + """ + Generate a brochure and translate it to the target language + + Args: + url (str): The website URL to generate brochure from + target_language (str): The target language for translation (default: "Spanish") + stream_mode (bool): Whether to use streaming output (default: False) + + Returns: + str: Translated brochure content + """ + # First generate the original brochure + original_brochure = create_brochure(url) + + # Get translation prompts + translation_system_prompt = get_translation_system_prompt(target_language) + translation_user_prompt = get_translation_user_prompt(original_brochure, target_language) + + # Get OpenAI client + website = Website(url) + + if stream_mode: + # Generate translation using OpenAI with streaming + response = website.client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": translation_system_prompt}, + {"role": "user", "content": translation_user_prompt} + ], + stream=True + ) + + # Use the reusable streaming utility function + translated_brochure = stream_content(response, f"Translating brochure to {target_language}") + else: + # Generate translation using OpenAI with complete output + response = website.client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + {"role": "system", "content": translation_system_prompt}, + {"role": "user", "content": translation_user_prompt} + ] + ) + + translated_brochure = response.choices[0].message.content + + # Display the translated content + display_content(translated_brochure, is_markdown=True) + + return translated_brochure + + +# Main function for terminal usage +def main(): + """Main function for running the brochure generator from terminal""" + import sys + + if len(sys.argv) != 2: + console = Console() + console.print("[bold red]Usage:[/bold red] python website_brochure_generator.py ") + console.print("[bold blue]Example:[/bold blue] python website_brochure_generator.py https://example.com") + sys.exit(1) + + url = sys.argv[1] + console = Console() + + console.print(f"[bold green]Generating brochure for:[/bold green] {url}") + console.print("\n[bold yellow]Choose display mode:[/bold yellow]") + console.print("1. Complete output (display all at once)") + console.print("2. Stream output (real-time generation)") + + display_choice = input("\nEnter choice (1 or 2): ").strip() + + # Generate brochure based on display choice + if display_choice == "1": + result = create_brochure(url) + elif display_choice == "2": + result = stream_brochure(url) + else: + console.print("[bold red]Invalid choice. Using default: complete output[/bold red]") + result = create_brochure(url) + + # Ask if user wants translation + console.print("\n[bold yellow]Translation options:[/bold yellow]") + console.print("1. No translation (original only)") + console.print("2. Translate to another language") + + translation_choice = input("\nEnter choice (1 or 2): ").strip() + + if translation_choice == "2": + target_language = input("Enter target language (e.g., Spanish, French, German, Chinese): ").strip() + if not target_language: + target_language = "Spanish" + + # Pass the stream mode based on the display choice + stream_mode = (display_choice == "2") + translate_brochure(url, target_language, stream_mode=stream_mode) + else: + pass + +if __name__ == "__main__": + main() \ No newline at end of file