Delete CLAUDE.md

CLAUDE.md

@@ -1,78 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## Project Overview
-
-Morphos is a veterinary diagnostic support tool — a single-page application (SPA) that performs real-time clinical pattern detection from lab values and optionally calls an AI model (HuggingFace or local Ollama) for clinical interpretation. It targets Canino and Felino patients.
-
-## Running the App
-
-This is a static frontend with a PHP proxy backend. No build step required.
-
-Serve it locally with PHP's built-in server from the project root:
-```bash
-php -S localhost:8000
-```
-
-Then open `http://localhost:8000` in a browser. The PHP proxy (`api/hf_proxy.php`) requires the API key in `api/.env`:
-```
-HF_API_KEY=<your_key>
-```
-
-For local AI inference, Ollama must be running at `http://localhost:11434` with `medgemma:latest` pulled.
-
-## Architecture
-
-### Data Flow
-
-```
-User form input
-  → analisis.js (real-time pattern detection, no server)
-  → UI updates (color-coded fields, pattern cards)
-
-User clicks "Análisis IA"
-  → ia.js (constructs prompt with patient data + flagged values)
-  → [HF route]    → api/hf_proxy.php → HF Space Gradio API (SSE response)
-  → [Local route] → Ollama chat completions API
-  → Display AI output in #salida-ia
-```
-
-### Key Files and Their Roles
-
-- **`js/analisis.js`** — Core engine (505 lines). Compares values against species-specific reference ranges, classifies severity (mild/moderate/severe), applies age/breed/sex adjustments, and identifies 50+ clinical patterns (anemia types, hepatic, renal, endocrine, etc.).
-- **`js/ia.js`** — AI abstraction layer. Builds the clinical prompt in Spanish, calls either HF Proxy or Ollama, and strips model-specific tokens from the response.
-- **`js/main.js`** — Orchestration: loads JSON data files, wires form events, triggers analysis, handles PDF export.
-- **`js/ui.js`** — Tab navigation (8 panels, 4 exam sub-tabs), swipe gestures, mobile/desktop field sync, collapsible panels.
-- **`js/pdf-parser.js`** — Client-side PDF extraction using PDF.js. 47 regex patterns to identify analytes in Spanish/English. Runs fully in the browser.
-- **`api/hf_proxy.php`** — PHP proxy that reads `api/.env`, forwards requests to HugginFace Space (`blackmistcode-morphos-medgemma.hf.space/gradio_api`), handles SSE polling, and returns `{text: ...}`.
-- **`data/valores_referencia.json`** — Reference ranges for 34 analytes per species.
-- **`data/alteraciones.json`** — 100+ clinical entities used to enrich AI prompts with etiologic context.
-
-### AI Backend Configuration
-
-Stored in `localStorage`:
-- `mx-ia-backend`: `"hf"` (default) or `"local"`
-- `mx-ia-ollama-url`: custom Ollama endpoint
-- `mx-ia-ollama-model`: custom model name (default `medgemma:latest`)
-
-The HF route supports up to 4 images (vision model). The local route uses Ollama's OpenAI-compatible chat completions API, also with vision support.
-
-### Pattern Detection Logic (`analisis.js`)
-
-Severity thresholds are based on deviation from the reference range. Reference ranges are dynamically adjusted for:
-- **Age**: puppies, adults, seniors, geriatric (age in months)
-- **Breed**: Greyhounds (lower platelets normal), Akita/Shiba (different RBC ranges), etc.
-- **Sex**: Male felines have a higher creatinine tolerance
-
-The `analizarResultados()` function is called on every `input` event and returns flagged findings + matched clinical patterns.
-
-### CSS Notes
-
-Do not use `!important` — use specificity or cascade ordering instead. The stylesheet is `css/styles.css` (1796 lines). The desktop grid breakpoint is `>1100px`.
-
-### Coding notes
-
-All variables should be named in spanish unless they're referencing common technical names like tab, input, output, etc.
-Always use descriptive names for variables and functions keeping legibility as a priority.
-Don't use aligment spaces.