Hugoifier
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| --- README.md | ||
| +++ README.md | ||
| @@ -1,35 +1,35 @@ | ||
| 1 | -# Hugo-ifier (AI-Powered Theme Converter) | |
| 1 | +# Hugoifier (AI-Powered Theme Converter) | |
| 2 | 2 | |
| 3 | 3 | This project aims to create a fully production-ready, AI-assisted Hugo theme converter with Decap CMS support as efficiently as possible. |
| 4 | 4 | |
| 5 | -## Objective | |
| 5 | +## What is it? | |
| 6 | 6 | |
| 7 | -To build a Hugo-ifier, a Python-based utility that: | |
| 7 | +Hugoifier is a Python-based utility that: | |
| 8 | 8 | |
| 9 | 9 | - Converts any HTML/JS/CSS theme into a Hugo-compatible theme using AI. |
| 10 | 10 | - Extracts layout data into structured files (`data/*.yaml` or `data/*.json`) to make the theme editable via Decap CMS. |
| 11 | 11 | - Generates and wires Decap CMS into the Hugo setup, making it fully ready for content management. |
| 12 | 12 | - Uses OpenAI's efficient AI models to analyze theme files and determine the best Hugo template tag placements. |
| 13 | 13 | |
| 14 | 14 | ## Core Features & Workflow |
| 15 | 15 | |
| 16 | -### Phase 1: AI-Powered HTML Conversion | |
| 17 | - | |
| 18 | -- Use GPT-4-Turbo to analyze an HTML theme and suggest where Hugo template tags (`{{ .Title }}`, `{{ .Content }}`, etc.) should be placed. | |
| 19 | -- Identify partials (e.g., `header.html`, `footer.html`) and reusable elements. | |
| 20 | -- Convert hardcoded links, images, and text into Hugo-friendly components. | |
| 21 | - | |
| 22 | -### Phase 2: Decap CMS Integration | |
| 23 | - | |
| 24 | -- Extract site structure elements (navigation, hero sections, footers) into YAML/JSON files in Hugo's `data/` directory. | |
| 25 | -- Generate a Decap CMS `config.yml` file with proper collections for pages, posts, and layout elements. | |
| 26 | -- Ensure the generated theme is fully editable via Decap CMS. | |
| 27 | - | |
| 28 | -### Phase 3: Automation & Deployment | |
| 29 | - | |
| 30 | -- Provide a Python CLI tool to automate the entire conversion process. | |
| 16 | +### Step 1: AI-Powered HTML Conversion | |
| 17 | + | |
| 18 | +- Uses GPT-4-Turbo to analyze an HTML theme and suggest where Hugo template tags (`{{ .Title }}`, `{{ .Content }}`, etc.) should be placed. | |
| 19 | +- Identifies partials (e.g., `header.html`, `footer.html`) and reusable elements. | |
| 20 | +- Converts all hardcoded links, images, and text into Hugo-friendly components. | |
| 21 | + | |
| 22 | +### Step2 2: Decap CMS Integration | |
| 23 | + | |
| 24 | +- Extracts the site structure elements (navigation, hero sections, footers) into YAML/JSON files in Hugo's `data/` directory. | |
| 25 | +- Generates a Decap CMS `config.yml` file with proper collections for pages, posts, and layout elements. | |
| 26 | +- Ensures the generated theme is fully editable via Decap CMS. | |
| 27 | + | |
| 28 | +### Step3 3: Automation & Deployment | |
| 29 | + | |
| 30 | +- Provides a Python CLI tool to automate the entire conversion process. | |
| 31 | 31 | - Offer interactive mode for customization and auto mode for full automation. |
| 32 | 32 | - Ensure themes are deployable on Cloudflare Pages CMS setups. |
| 33 | 33 | - Deploy the CMS on Cloudflare Pages. |
| 34 | 34 | |
| 35 | 35 | ## Getting Started |
| 36 | 36 |
| --- README.md | |
| +++ README.md | |
| @@ -1,35 +1,35 @@ | |
| 1 | # Hugo-ifier (AI-Powered Theme Converter) |
| 2 | |
| 3 | This project aims to create a fully production-ready, AI-assisted Hugo theme converter with Decap CMS support as efficiently as possible. |
| 4 | |
| 5 | ## Objective |
| 6 | |
| 7 | To build a Hugo-ifier, a Python-based utility that: |
| 8 | |
| 9 | - Converts any HTML/JS/CSS theme into a Hugo-compatible theme using AI. |
| 10 | - Extracts layout data into structured files (`data/*.yaml` or `data/*.json`) to make the theme editable via Decap CMS. |
| 11 | - Generates and wires Decap CMS into the Hugo setup, making it fully ready for content management. |
| 12 | - Uses OpenAI's efficient AI models to analyze theme files and determine the best Hugo template tag placements. |
| 13 | |
| 14 | ## Core Features & Workflow |
| 15 | |
| 16 | ### Phase 1: AI-Powered HTML Conversion |
| 17 | |
| 18 | - Use GPT-4-Turbo to analyze an HTML theme and suggest where Hugo template tags (`{{ .Title }}`, `{{ .Content }}`, etc.) should be placed. |
| 19 | - Identify partials (e.g., `header.html`, `footer.html`) and reusable elements. |
| 20 | - Convert hardcoded links, images, and text into Hugo-friendly components. |
| 21 | |
| 22 | ### Phase 2: Decap CMS Integration |
| 23 | |
| 24 | - Extract site structure elements (navigation, hero sections, footers) into YAML/JSON files in Hugo's `data/` directory. |
| 25 | - Generate a Decap CMS `config.yml` file with proper collections for pages, posts, and layout elements. |
| 26 | - Ensure the generated theme is fully editable via Decap CMS. |
| 27 | |
| 28 | ### Phase 3: Automation & Deployment |
| 29 | |
| 30 | - Provide a Python CLI tool to automate the entire conversion process. |
| 31 | - Offer interactive mode for customization and auto mode for full automation. |
| 32 | - Ensure themes are deployable on Cloudflare Pages CMS setups. |
| 33 | - Deploy the CMS on Cloudflare Pages. |
| 34 | |
| 35 | ## Getting Started |
| 36 |
| --- README.md | |
| +++ README.md | |
| @@ -1,35 +1,35 @@ | |
| 1 | # Hugoifier (AI-Powered Theme Converter) |
| 2 | |
| 3 | This project aims to create a fully production-ready, AI-assisted Hugo theme converter with Decap CMS support as efficiently as possible. |
| 4 | |
| 5 | ## What is it? |
| 6 | |
| 7 | Hugoifier is a Python-based utility that: |
| 8 | |
| 9 | - Converts any HTML/JS/CSS theme into a Hugo-compatible theme using AI. |
| 10 | - Extracts layout data into structured files (`data/*.yaml` or `data/*.json`) to make the theme editable via Decap CMS. |
| 11 | - Generates and wires Decap CMS into the Hugo setup, making it fully ready for content management. |
| 12 | - Uses OpenAI's efficient AI models to analyze theme files and determine the best Hugo template tag placements. |
| 13 | |
| 14 | ## Core Features & Workflow |
| 15 | |
| 16 | ### Step 1: AI-Powered HTML Conversion |
| 17 | |
| 18 | - Uses GPT-4-Turbo to analyze an HTML theme and suggest where Hugo template tags (`{{ .Title }}`, `{{ .Content }}`, etc.) should be placed. |
| 19 | - Identifies partials (e.g., `header.html`, `footer.html`) and reusable elements. |
| 20 | - Converts all hardcoded links, images, and text into Hugo-friendly components. |
| 21 | |
| 22 | ### Step2 2: Decap CMS Integration |
| 23 | |
| 24 | - Extracts the site structure elements (navigation, hero sections, footers) into YAML/JSON files in Hugo's `data/` directory. |
| 25 | - Generates a Decap CMS `config.yml` file with proper collections for pages, posts, and layout elements. |
| 26 | - Ensures the generated theme is fully editable via Decap CMS. |
| 27 | |
| 28 | ### Step3 3: Automation & Deployment |
| 29 | |
| 30 | - Provides a Python CLI tool to automate the entire conversion process. |
| 31 | - Offer interactive mode for customization and auto mode for full automation. |
| 32 | - Ensure themes are deployable on Cloudflare Pages CMS setups. |
| 33 | - Deploy the CMS on Cloudflare Pages. |
| 34 | |
| 35 | ## Getting Started |
| 36 |