Should fully work now

Hopefully?
Maybe now?
2026-01-09 00:47:49 +01:00 · 2026-01-09 00:45:01 +01:00 · 2026-01-09 00:40:25 +01:00 · 2026-01-09 00:35:21 +01:00 · 2026-01-09 00:24:38 +01:00 · 2026-01-07 11:17:49 +01:00
10 changed files with 829 additions and 157 deletions
--- a/3
+++ b/3
@@ -1,7 +1,8 @@
 FROM python:3.11-slim
 WORKDIR /app
 RUN rm -rf /app/*
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
 EXPOSE 8000
-CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000"]
+CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers", "--forwarded-allow-ips", "*"]
--- a/README.md
+++ b/README.md
--- a/api.py
+++ b/api.py
@@ -1,13 +1,15 @@
 import os
 import uvicorn
 from fastapi import FastAPI, Body
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse
 from pydantic import BaseModel
 import sys
 import uvicorn
 from fastapi import Body, FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import FileResponse
 from fastapi.staticfiles import StaticFiles
 from pydantic import BaseModel
 # Import core LLM logic
-from llm import load_or_train_model, generate_text, SOURCES_DIR
+from llm import SOURCES_DIR, generate_text, load_or_train_model
 # --- Configuration ---
 # Models to pre-load on startup
@@ -18,19 +20,31 @@ UI_DIR = "ui"
 # Cache for loaded models: {n: model}
 MODEL_CACHE = {}
 # --- Pydantic Models ---
 class PredictRequest(BaseModel):
    prompt: str
-    temperature: float = 0.7
+    temperature: float = 1.6
-    n: int = 3
+    n: int = 4
    length: int = 5
 class PredictResponse(BaseModel):
    prediction: str
 # --- FastAPI App ---
 app = FastAPI()
 app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
 )
 def get_model_for_n(n: int):
    """
    Retrieves the model for a specific N from cache, or loads/trains it.
@@ -38,12 +52,13 @@ def get_model_for_n(n: int):
    global MODEL_CACHE
    if n in MODEL_CACHE:
        return MODEL_CACHE[n]
-    
+
    print(f"Loading/Training model for N={n}...")
    model = load_or_train_model(SOURCES_DIR, n)
    MODEL_CACHE[n] = model
    return model
@app.on_event("startup")
 def startup_event():
    """
@@ -54,6 +69,7 @@ def startup_event():
        get_model_for_n(n)
    print(f"Models for N={PRELOAD_N_GRAMS} loaded. Server is ready.")
@app.post("/api/predict", response_model=PredictResponse)
 async def predict(request: PredictRequest):
    """
@@ -61,7 +77,7 @@ async def predict(request: PredictRequest):
    """
    n = max(2, min(request.n, 5))
    model = get_model_for_n(n)
-    
+
    if not model:
        return {"prediction": ""}
@@ -70,23 +86,35 @@ async def predict(request: PredictRequest):
    prediction = generate_text(
        model,
        start_prompt=request.prompt,
-        length=length, 
+        length=length,
-        temperature=request.temperature
+        temperature=request.temperature,
    )
-    
+
    return PredictResponse(prediction=prediction)
@app.get("/api")
 async def api_docs():
    """
    API documentation page.
    """
    return FileResponse(os.path.join(UI_DIR, "api.html"))
 # --- Static Files and Root ---
 app.mount("/ui", StaticFiles(directory=UI_DIR), name="ui")
@app.get("/")
 async def read_root():
    return FileResponse(os.path.join(UI_DIR, "index.html"))
 def run():
    # Read port from environment variable, default to 8000
    port = int(os.environ.get("PORT", 8000))
-    uvicorn.run(app, host="0.0.0.0", port=port)
+    uvicorn.run(app, host="0.0.0.0", port=port, proxy_headers=True, forwarded_allow_ips="*")
 if __name__ == "__main__":
-    run()
+    run()
--- a/icon.svg
+++ b/icon.svg
@@ -0,0 +1 @@
 <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="#fafafa"><path d="m12 3-1.912 5.813a2 2 0 0 1-1.275 1.275L3 12l5.813 1.912a2 2 0 0 1 1.275 1.275L12 21l1.912-5.813a2 2 0 0 1 1.275-1.275L21 12l-5.813-1.912a2 2 0 0 1-1.275-1.275L12 3Z"/></svg>
--- a/ui/api.html
+++ b/ui/api.html
@@ -0,0 +1,390 @@
 <!doctype html>
 <html lang="en" class="dark">
    <head>
        <meta charset="UTF-8" />
        <meta name="viewport" content="width=device-width, initial-scale=1.0" />
        <title>Kreatyw - API Documentation</title>
        <link rel="stylesheet" href="/ui/style.css?v=2" />
        <link rel="icon" type="image/x-icon" href="/ui/favicon.ico" />
        <style>
            body {
                overflow: auto !important;
                height: auto !important;
            }
            .doc-container {
                max-width: 900px;
                margin: 0 auto;
                padding: 3rem 2rem;
            }
            .doc-header {
                margin-bottom: 3rem;
                border-bottom: 1px solid var(--border);
                padding-bottom: 2rem;
            }
            .doc-header h1 {
                font-size: 2.5rem;
                margin: 0 0 0.5rem 0;
                font-weight: 700;
            }
            .doc-header p {
                color: var(--muted-foreground);
                font-size: 1.125rem;
                margin: 0;
            }
            .section {
                margin-bottom: 3rem;
            }
            .section h2 {
                font-size: 1.75rem;
                margin: 0 0 1rem 0;
                font-weight: 600;
            }
            .section h3 {
                font-size: 1.25rem;
                margin: 2rem 0 1rem 0;
                font-weight: 600;
                color: var(--muted-foreground);
            }
            .section p {
                line-height: 1.7;
                color: var(--foreground);
                margin: 0 0 1rem 0;
            }
            .code-block {
                background-color: var(--secondary);
                border: 1px solid var(--border);
                border-radius: var(--radius);
                padding: 1.5rem;
                overflow-x: auto;
                margin: 1rem 0;
            }
            .code-block pre {
                margin: 0;
                font-family: "SF Mono", "Fira Code", monospace;
                font-size: 0.875rem;
                line-height: 1.6;
                color: var(--foreground);
            }
            .inline-code {
                background-color: var(--secondary);
                padding: 0.2rem 0.4rem;
                border-radius: 4px;
                font-family: "SF Mono", "Fira Code", monospace;
                font-size: 0.875em;
                color: var(--foreground);
            }
            .param-table {
                width: 100%;
                border-collapse: collapse;
                margin: 1rem 0;
            }
            .param-table th,
            .param-table td {
                text-align: left;
                padding: 0.75rem;
                border-bottom: 1px solid var(--border);
            }
            .param-table th {
                font-weight: 600;
                color: var(--muted-foreground);
                font-size: 0.875rem;
                text-transform: uppercase;
                letter-spacing: 0.05em;
            }
            .param-table td {
                color: var(--foreground);
            }
            .param-table tr:last-child td {
                border-bottom: none;
            }
            .badge {
                display: inline-block;
                padding: 0.25rem 0.5rem;
                border-radius: 4px;
                font-size: 0.75rem;
                font-weight: 600;
                text-transform: uppercase;
            }
            .badge-post {
                background-color: #10b981;
                color: white;
            }
            .badge-required {
                background-color: #ef4444;
                color: white;
            }
            .badge-optional {
                background-color: var(--secondary);
                color: var(--muted-foreground);
            }
            .back-link {
                display: inline-flex;
                align-items: center;
                gap: 0.5rem;
                color: var(--foreground);
                text-decoration: none;
                margin-bottom: 2rem;
                font-weight: 500;
                transition: opacity 0.2s;
            }
            .back-link:hover {
                opacity: 0.8;
            }
        </style>
    </head>
    <body>
        <div class="doc-container">
            <a href="/" class="back-link">
                <svg
                    xmlns="http://www.w3.org/2000/svg"
                    width="20"
                    height="20"
                    viewBox="0 0 24 24"
                    fill="none"
                    stroke="currentColor"
                    stroke-width="2"
                    stroke-linecap="round"
                    stroke-linejoin="round"
                >
                    <line x1="19" y1="12" x2="5" y2="12"></line>
                    <polyline points="12 19 5 12 12 5"></polyline>
                </svg>
                Back to Editor
            </a>
            <div class="doc-header">
                <h1>Kreatyw API</h1>
                <p>Text generation API powered by N-gram language models</p>
            </div>
            <div class="section">
                <h2>Overview</h2>
                <p>
                    The Kreatyw API provides a simple REST endpoint for
                    generating text continuations using N-gram language models.
                    The API uses Markov chains trained on source texts to
                    predict and generate coherent text sequences.
                </p>
            </div>
            <div class="section">
                <h2>Base URL</h2>
                <div class="code-block">
                    <pre>https://kreatyw.krzak.org</pre>
                </div>
            </div>
            <div class="section">
                <h2>Endpoints</h2>
                <h3>POST /api/predict</h3>
                <p>Generate text continuation based on a given prompt.</p>
                <h3>Request Body</h3>
                <table class="param-table">
                    <thead>
                        <tr>
                            <th>Parameter</th>
                            <th>Type</th>
                            <th>Required</th>
                            <th>Description</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td><span class="inline-code">prompt</span></td>
                            <td>string</td>
                            <td>
                                <span class="badge badge-required"
                                    >Required</span
                                >
                            </td>
                            <td>The starting text to continue from</td>
                        </tr>
                        <tr>
                            <td><span class="inline-code">n</span></td>
                            <td>integer</td>
                            <td>
                                <span class="badge badge-optional"
                                    >Optional</span
                                >
                            </td>
                            <td>
                                N-gram size (2-5). Default: 4. Higher values
                                produce more coherent but less creative text.
                            </td>
                        </tr>
                        <tr>
                            <td>
                                <span class="inline-code">temperature</span>
                            </td>
                            <td>float</td>
                            <td>
                                <span class="badge badge-optional"
                                    >Optional</span
                                >
                            </td>
                            <td>
                                Sampling temperature (0.1-2.0). Default: 1.6.
                                Higher values increase randomness.
                            </td>
                        </tr>
                        <tr>
                            <td><span class="inline-code">length</span></td>
                            <td>integer</td>
                            <td>
                                <span class="badge badge-optional"
                                    >Optional</span
                                >
                            </td>
                            <td>
                                Number of words to generate (1-500). Default: 5.
                            </td>
                        </tr>
                    </tbody>
                </table>
                <h3>Response</h3>
                <table class="param-table">
                    <thead>
                        <tr>
                            <th>Field</th>
                            <th>Type</th>
                            <th>Description</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td><span class="inline-code">prediction</span></td>
                            <td>string</td>
                            <td>The generated text continuation</td>
                        </tr>
                    </tbody>
                </table>
                <h3>Example Request</h3>
                <div class="code-block">
                    <pre>
 curl -X POST http://localhost:8000/api/predict \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Kiedyś tak było",
    "n": 4,
    "temperature": 1.2,
    "length": 20
  }'</pre
                    >
                </div>
                <h3>Example Response</h3>
                <div class="code-block">
                    <pre>
 {
  "prediction": "przezroczyste, że prawie ich dostrzec nie mógł. Słysząc bowiem tyle o jej egzystencji. Zaiste z pogardą arcykapłańskich święceń i źle traktujesz sługi boże."
 }</pre
                    >
                </div>
                <h3>JavaScript Example</h3>
                <div class="code-block">
                    <pre>
 const response = await fetch('/api/predict', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    prompt: 'Kiedyś tak było',
    n: 3,
    temperature: 0.8,
    length: 15
  })
 });
 const data = await response.json();
 console.log(data.prediction);</pre
                    >
                </div>
                <h3>Python Example</h3>
                <div class="code-block">
                    <pre>
 import requests
 response = requests.post('http://localhost:8000/api/predict',
    json={
        'prompt': 'Kiedyś tak było',
        'n': 4,
        'temperature': 1.0,
        'length': 25
    }
 )
 result = response.json()
 print(result['prediction'])</pre
                    >
                </div>
            </div>
            <div class="section">
                <h2>Model Parameters</h2>
                <h3>N-gram Size (n)</h3>
                <p>
                    Controls the context window size. Higher values use more
                    context words to predict the next word:
                </p>
                <ul style="line-height: 1.8; color: var(--foreground)">
                    <li>
                        <strong>n=2 (Bigram):</strong> Uses 1 previous word for
                        context. Very creative but less coherent.
                    </li>
                    <li>
                        <strong>n=3 (Trigram):</strong> Uses 2 previous words.
                        Balanced creativity and coherence.
                    </li>
                    <li>
                        <strong>n=4 (Tetragram):</strong> Uses 3 previous words.
                        More coherent, less random.
                    </li>
                    <li>
                        <strong>n=5 (Pentagram):</strong> Uses 4 previous words.
                        Most coherent, closest to training data.
                    </li>
                </ul>
                <h3>Temperature</h3>
                <p>Controls the randomness of predictions:</p>
                <ul style="line-height: 1.8; color: var(--foreground)">
                    <li>
                        <strong>Low (0.1-0.5):</strong> More deterministic,
                        picks most likely words.
                    </li>
                    <li>
                        <strong>Medium (0.6-1.0):</strong> Balanced between
                        predictability and creativity.
                    </li>
                    <li>
                        <strong>High (1.1-2.0):</strong> More random and
                        creative, may produce unexpected results.
                    </li>
                </ul>
            </div>
            <div class="section">
                <h2>Error Handling</h2>
                <p>The API returns standard HTTP status codes:</p>
                <ul style="line-height: 1.8; color: var(--foreground)">
                    <li><strong>200 OK:</strong> Request successful</li>
                    <li>
                        <strong>422 Unprocessable Entity:</strong> Invalid
                        request parameters
                    </li>
                    <li>
                        <strong>500 Internal Server Error:</strong> Server error
                    </li>
                </ul>
            </div>
        </div>
    </body>
 </html>
--- a/ui/favicon.ico
+++ b/ui/favicon.ico
--- a/ui/icon.png
+++ b/ui/icon.png
--- a/ui/index.html
+++ b/ui/index.html
@@ -4,12 +4,58 @@
        <meta charset="UTF-8" />
        <meta name="viewport" content="width=device-width, initial-scale=1.0" />
        <title>Kreatyw</title>
-        <link rel="stylesheet" href="/ui/style.css" />
+        <link rel="stylesheet" href="/ui/style.css?v=2" />
        <link rel="icon" type="image/x-icon" href="/ui/favicon.ico" />
        <meta property="og:type" content="website" />
        <meta property="og:title" content="Kreatyw" />
        <meta property="og:description" content="" />
        <meta property="og:image" content="/ui/icon.png" />
        <meta name="theme-color" content="#fafafa" />
        <meta name="twitter:card" content="summary" />
        <meta name="twitter:title" content="Kreatyw" />
        <meta name="twitter:image" content="/ui/icon.png" />
    </head>
    <body>
        <div class="mobile-header">
            <div class="brand-wrapper">
                <svg
                    xmlns="http://www.w3.org/2000/svg"
                    width="24"
                    height="24"
                    viewBox="0 0 24 24"
                    fill="white"
                    class="sparkle-icon"
                >
                    <path
                        d="m12 3-1.912 5.813a2 2 0 0 1-1.275 1.275L3 12l5.813 1.912a2 2 0 0 1 1.275 1.275L12 21l1.912-5.813a2 2 0 0 1 1.275-1.275L21 12l-5.813-1.912a2 2 0 0 1-1.275-1.275L12 3Z"
                    />
                </svg>
                <h1 class="brand">Kreatyw</h1>
            </div>
            <button id="sidebar-toggle" class="btn-icon">
                <svg
                    xmlns="http://www.w3.org/2000/svg"
                    width="24"
                    height="24"
                    viewBox="0 0 24 24"
                    fill="none"
                    stroke="currentColor"
                    stroke-width="2"
                    stroke-linecap="round"
                    stroke-linejoin="round"
                >
                    <line x1="3" y1="12" x2="21" y2="12"></line>
                    <line x1="3" y1="6" x2="21" y2="6"></line>
                    <line x1="3" y1="18" x2="21" y2="18"></line>
                </svg>
            </button>
        </div>
        <div class="app-layout">
-            <aside class="sidebar">
+            <aside class="sidebar" id="sidebar">
-                <div class="sidebar-header">
+                <div class="sidebar-header desktop-only">
                    <div class="brand-wrapper">
                        <svg
                            xmlns="http://www.w3.org/2000/svg"
@@ -98,12 +144,12 @@
                            id="editor"
                            spellcheck="false"
                            autofocus
-                            placeholder="Start writing something poetic..."
+                            placeholder="Start typing here..."
                        ></textarea>
                    </div>
                </div>
            </main>
        </div>
-        <script src="/ui/script.js"></script>
+        <script src="/ui/script.js?v=2"></script>
    </body>
 </html>
--- a/ui/script.js
+++ b/ui/script.js
@@ -1,135 +1,184 @@
 document.addEventListener("DOMContentLoaded", () => {
  const editor = document.getElementById("editor");
  const suggestionOverlay = document.getElementById("suggestion-overlay");
  const status = document.getElementById("status");
  const statusIndicator = document.querySelector(".status-indicator");
-document.addEventListener('DOMContentLoaded', () => {
+  // Controls
-    const editor = document.getElementById('editor');
+  const nGramSelect = document.getElementById("n-gram");
-    const suggestionOverlay = document.getElementById('suggestion-overlay');
+  const nValDisplay = document.getElementById("n-val");
-    const status = document.getElementById('status');
+  const tempInput = document.getElementById("temperature");
-    const statusIndicator = document.querySelector('.status-indicator');
+  const tempValDisplay = document.getElementById("temp-val");
-    
+  const lengthInput = document.getElementById("length");
-    // Controls
+  const lengthValDisplay = document.getElementById("length-val");
-    const nGramSelect = document.getElementById('n-gram');
+  const generateBtn = document.getElementById("generate-more-btn");
-    const nValDisplay = document.getElementById('n-val');
+  const sidebarToggle = document.getElementById("sidebar-toggle");
-    const tempInput = document.getElementById('temperature');
+  const sidebar = document.getElementById("sidebar");
    const tempValDisplay = document.getElementById('temp-val');
    const lengthInput = document.getElementById('length');
    const lengthValDisplay = document.getElementById('length-val');
    const generateBtn = document.getElementById('generate-more-btn');
-    let currentSuggestion = '';
+  let currentSuggestion = "";
-    let isFetching = false;
+  let isFetching = false;
-    let debounceTimer;
+  let debounceTimer;
-    // --- UI Logic ---
+  // --- UI Logic ---
    const updateUI = () => {
        nValDisplay.textContent = nGramSelect.value;
        tempValDisplay.textContent = tempInput.value;
        lengthValDisplay.textContent = lengthInput.value;
    };
-    tempInput.addEventListener('input', updateUI);
+  const updateUI = () => {
-    lengthInput.addEventListener('input', updateUI);
+    nValDisplay.textContent = nGramSelect.value;
-    nGramSelect.addEventListener('change', () => {
+    tempValDisplay.textContent = tempInput.value;
-        updateUI();
+    lengthValDisplay.textContent = lengthInput.value;
-        triggerUpdate();
+  };
    });
-    const triggerUpdate = () => {
+  sidebarToggle.addEventListener("click", () => {
-        currentSuggestion = '';
+    sidebar.classList.toggle("open");
-        updateSuggestion();
+  });
        const prompt = editor.value;
        if (prompt.trim().length > 0) fetchPrediction(prompt);
    };
-    tempInput.addEventListener('change', triggerUpdate);
+  const closeSidebarOnMobile = () => {
-    lengthInput.addEventListener('change', triggerUpdate);
+    if (window.innerWidth <= 768) {
      sidebar.classList.remove("open");
    }
  };
-    // --- Core Functions ---
+  tempInput.addEventListener("input", updateUI);
-
+  lengthInput.addEventListener("input", updateUI);
-    const fetchPrediction = async (prompt, customLength = null) => {
+  nGramSelect.addEventListener("change", () => {
        if (isFetching) return;
        isFetching = true;
        status.textContent = 'Thinking...';
        statusIndicator.classList.add('fetching');
        const n = parseInt(nGramSelect.value);
        const temperature = parseFloat(tempInput.value);
        const length = customLength || parseInt(lengthInput.value);
        try {
            const response = await fetch('/api/predict', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify({ prompt, n, temperature, length }),
            });
            if (!response.ok) throw new Error('Network response failed');
            const data = await response.json();
            if (customLength) {
                insertText(data.prediction || '');
            } else {
                currentSuggestion = data.prediction || '';
                updateSuggestion();
            }
        } catch (error) {
            console.error('Prediction failed:', error);
            status.textContent = 'Error';
        } finally {
            isFetching = false;
            status.textContent = 'Idle';
            statusIndicator.classList.remove('fetching');
        }
    };
    const updateSuggestion = () => {
        const editorText = editor.value;
        const space = (editorText.length > 0 && !/\s$/.test(editorText)) ? ' ' : '';
        suggestionOverlay.textContent = editorText + space + currentSuggestion;
    };
    const insertText = (text) => {
        if (!text) return;
        const space = (editor.value.length > 0 && !/\s$/.test(editor.value)) ? ' ' : '';
        editor.value += space + text;
        currentSuggestion = '';
        updateSuggestion();
        // Ensure the editor scrolls with content
        editor.scrollTop = editor.scrollHeight;
    };
    // --- Event Handlers ---
    editor.addEventListener('input', () => {
        clearTimeout(debounceTimer);
        currentSuggestion = '';
        updateSuggestion();
        const prompt = editor.value;
        if (prompt.trim().length === 0) return;
        debounceTimer = setTimeout(() => fetchPrediction(prompt), 300);
    });
    editor.addEventListener('keydown', (e) => {
        if (e.key === 'Tab' && currentSuggestion) {
            e.preventDefault();
            insertText(currentSuggestion);
            fetchPrediction(editor.value);
        }
    });
    generateBtn.addEventListener('click', () => {
        fetchPrediction(editor.value, 50);
    });
    // Sync scroll
    editor.addEventListener('scroll', () => {
        suggestionOverlay.scrollTop = editor.scrollTop;
    });
    // Initialize UI badges
    updateUI();
    triggerUpdate();
  });
  const triggerUpdate = () => {
    currentSuggestion = "";
    updateSuggestion();
    const prompt = editor.value;
    if (prompt.trim().length > 0) fetchPrediction(prompt);
  };
  tempInput.addEventListener("change", () => {
    triggerUpdate();
  });
  lengthInput.addEventListener("change", () => {
    triggerUpdate();
  });
  // --- Core Functions ---
  const fetchPrediction = async (prompt, customLength = null) => {
    if (isFetching) return;
    isFetching = true;
    status.textContent = "Thinking...";
    if (statusIndicator) statusIndicator.classList.add("fetching");
    const n = parseInt(nGramSelect.value);
    const temperature = parseFloat(tempInput.value);
    const length = customLength || parseInt(lengthInput.value);
    try {
      const response = await fetch("/api/predict", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
        body: JSON.stringify({ prompt, n, temperature, length }),
      });
      if (!response.ok) throw new Error("Network response failed");
      const data = await response.json();
      if (customLength) {
        insertText(data.prediction || "");
      } else {
        currentSuggestion = data.prediction || "";
        updateSuggestion();
      }
    } catch (error) {
      console.error("Prediction failed:", error);
      status.textContent = "Error: " + error.message;
    } finally {
      isFetching = false;
      status.textContent = "Idle";
      if (statusIndicator) statusIndicator.classList.remove("fetching");
    }
  };
  const updateSuggestion = () => {
    suggestionOverlay.innerHTML = "";
    const editorText = editor.value;
    const space = editorText.length > 0 && !/\s$/.test(editorText) ? " " : "";
    // Create invisible text span to match editor content exactly
    const textSpan = document.createElement("span");
    textSpan.textContent = editorText + space;
    textSpan.style.color = "transparent";
    suggestionOverlay.appendChild(textSpan);
    if (currentSuggestion) {
      const suggestionSpan = document.createElement("span");
      suggestionSpan.textContent = currentSuggestion;
      suggestionSpan.className = "suggestion-highlight";
      // Add Tab Icon (Better SVG for Tab Key)
      const iconSpan = document.createElement("span");
      iconSpan.style.pointerEvents = "none"; // Ensure clicks pass through to suggestionSpan
      iconSpan.innerHTML = `<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tab-icon"><path d="M21 9V15"/><path d="M3 12H17"/><path d="m14 9 3 3-3 3"/></svg>`;
      suggestionSpan.appendChild(iconSpan);
      suggestionOverlay.appendChild(suggestionSpan);
    }
  };
  const insertText = (text) => {
    if (!text) return;
    const space =
      editor.value.length > 0 && !/\s$/.test(editor.value) ? " " : "";
    editor.value += space + text;
    currentSuggestion = "";
    updateSuggestion();
    // Ensure the editor scrolls with content
    editor.scrollTop = editor.scrollHeight;
  };
  // --- Event Handlers ---
  editor.addEventListener("input", () => {
    clearTimeout(debounceTimer);
    currentSuggestion = "";
    updateSuggestion();
    const prompt = editor.value;
    if (prompt.trim().length === 0) return;
    debounceTimer = setTimeout(() => fetchPrediction(prompt), 300);
  });
  editor.addEventListener("keydown", (e) => {
    if (e.key === "Tab" && currentSuggestion) {
      e.preventDefault();
      insertText(currentSuggestion);
      fetchPrediction(editor.value);
    }
  });
  // Handle click on suggestion
  suggestionOverlay.addEventListener("click", (e) => {
    if (e.target.classList.contains("suggestion-highlight")) {
      insertText(currentSuggestion);
      fetchPrediction(editor.value);
      editor.focus();
    }
  });
  if (generateBtn) {
    generateBtn.addEventListener("click", () => {
      fetchPrediction(editor.value, 50);
      closeSidebarOnMobile();
    });
  }
  // Sync scroll
  editor.addEventListener("scroll", () => {
    suggestionOverlay.scrollTop = editor.scrollTop;
  });
  // Initialize UI badges
  updateUI();
 });
--- a/ui/style.css
+++ b/ui/style.css
@@ -24,18 +24,71 @@
 body {
    background-color: var(--background);
    color: var(--foreground);
-    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
+    font-family:
        -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue",
        Arial, sans-serif;
    margin: 0;
    height: 100vh;
    overflow: hidden;
 }
@media (max-width: 768px) {
    body {
        height: auto;
        overflow: auto;
    }
 }
 /* Mobile Header */
 .mobile-header {
    display: none;
    background-color: var(--card);
    border-bottom: 1px solid var(--border);
    padding: 0.75rem 1rem;
    justify-content: space-between;
    align-items: center;
    position: sticky;
    top: 0;
    z-index: 100;
 }
 .btn-icon {
    background: transparent;
    border: none;
    color: var(--foreground);
    cursor: pointer;
    padding: 0.5rem;
    display: flex;
    align-items: center;
    justify-content: center;
 }
 .desktop-only {
    display: block;
 }
@media (max-width: 768px) {
    .mobile-header {
        display: flex;
    }
    .desktop-only {
        display: none;
    }
 }
 .app-layout {
    display: flex;
    height: 100vh;
    width: 100vw;
 }
@media (max-width: 768px) {
    .app-layout {
        flex-direction: column;
        height: calc(100vh - 57px); /* Subtract header height */
    }
 }
 /* Sidebar */
 .sidebar {
    width: 300px;
@@ -45,12 +98,35 @@ body {
    flex-direction: column;
    padding: 1.5rem;
    flex-shrink: 0;
    transition: transform 0.3s ease-in-out;
 }
@media (max-width: 768px) {
    .sidebar {
        position: fixed;
        top: 57px;
        left: 0;
        width: 100%;
        height: calc(100vh - 57px);
        z-index: 90;
        transform: translateX(-100%);
        border-right: none;
    }
    .sidebar.open {
        transform: translateX(0);
    }
 }
 .sidebar-header {
    margin-bottom: 2.5rem;
 }
@media (max-width: 768px) {
    .sidebar-header {
        margin-bottom: 1rem;
    }
 }
 .brand-wrapper {
    display: flex;
    align-items: center;
@@ -77,6 +153,13 @@ body {
    flex-grow: 1;
 }
@media (max-width: 768px) {
    .settings {
        gap: 1rem;
        margin-bottom: 1rem;
    }
 }
 .setting-item {
    display: flex;
    flex-direction: column;
@@ -180,6 +263,12 @@ label {
    border-top: 1px solid var(--border);
 }
@media (max-width: 768px) {
    .sidebar-footer {
        display: none; /* Hide footer on mobile to save space */
    }
 }
 .status-indicator {
    display: flex;
    align-items: center;
@@ -202,9 +291,15 @@ label {
 }
@keyframes pulse {
-    0% { opacity: 1; }
+    0% {
-    50% { opacity: 0.4; }
+        opacity: 1;
-    100% { opacity: 1; }
+    }
    50% {
        opacity: 0.4;
    }
    100% {
        opacity: 1;
    }
 }
 /* Main Editor Area */
@@ -216,6 +311,14 @@ label {
    background-color: var(--background);
 }
@media (max-width: 768px) {
    .editor-main {
        padding: 1rem;
        height: 100%;
        width: 100%;
    }
 }
 .editor-container {
    width: 100%;
    max-width: 800px;
@@ -228,13 +331,14 @@ label {
    border: 1px solid var(--border);
    border-radius: var(--radius);
    background-color: var(--card);
-    overflow-y: auto;
+    overflow: hidden;
 }
-#editor, #suggestion-overlay {
+#editor,
 #suggestion-overlay {
    width: 100%;
    height: 100%;
-    padding: 2rem;
+    padding: 2rem 2rem 10rem 2rem;
    font-family: "SF Mono", "Fira Code", monospace;
    font-size: 1.1rem;
    line-height: 1.8;
@@ -246,20 +350,73 @@ label {
    box-sizing: border-box;
 }
@media (max-width: 768px) {
    #editor,
    #suggestion-overlay {
        padding: 1rem 1rem 10rem 1rem;
        font-size: 1rem;
    }
 }
 #editor {
    position: relative;
    z-index: 2;
    color: var(--foreground);
    outline: none;
    resize: none;
    overflow-y: scroll;
 }
 #editor::-webkit-scrollbar {
    width: 16px;
 }
 #editor::-webkit-scrollbar-thumb {
    background-color: var(--muted);
    border: 4px solid var(--card);
    border-radius: 8px;
 }
 #editor::-webkit-scrollbar-track {
    background-color: transparent;
 }
 #suggestion-overlay {
    position: absolute;
    top: 0;
    left: 0;
-    z-index: 1;
+    z-index: 3;
-    color: var(--muted-foreground);
+    color: transparent;
    pointer-events: none;
    opacity: 0.5;
-}
+    overflow: hidden;
    overflow-y: scroll;
 }
 #suggestion-overlay::-webkit-scrollbar {
    width: 16px; /* Width must match standard scrollbar width to align text */
    background: transparent;
 }
 #suggestion-overlay::-webkit-scrollbar-thumb {
    background: transparent;
 }
 .suggestion-highlight {
    color: var(--muted-foreground);
    cursor: pointer;
    pointer-events: auto;
 }
 .tab-icon {
    display: inline-block;
    width: 1.8em;
    height: 1.2em;
    vertical-align: middle;
    margin-left: 0.5em;
    opacity: 0.8;
    border: 1px solid var(--muted-foreground);
    border-radius: 4px;
    padding: 2px;
    pointer-events: none;
 }
Author	SHA1	Message	Date
$N0\A$ N0\A	42864c5491	Should fully work now	2026-01-09 00:47:49 +01:00
$N0\A$ N0\A	3131fd3531	Hopefully?	2026-01-09 00:45:01 +01:00
$N0\A$ N0\A	d936ac872a	Maybe now?	2026-01-09 00:40:25 +01:00
$N0\A$ N0\A	019f85a29a	HTTPS fix	2026-01-09 00:35:21 +01:00
$N0\A$ N0\A	87c56ba2f8	Better suggestion accept on mobile and word wrap offset fix	2026-01-09 00:24:38 +01:00
N0VA	5bd7ccf76a	Update index.html	2026-01-07 11:17:49 +01:00
N0VA	630d8ebdc0	Update api.html	2026-01-07 11:02:22 +01:00
N0VA	6f0977be50	Mobile UI fix	2026-01-07 10:57:57 +01:00
N0VA	86c20628c8	API page scrolling fix	2026-01-07 10:42:17 +01:00
N0VA	56b4e056c3	API page	2026-01-07 10:40:22 +01:00
N0VA	b5d5195f8f	Layout fix	2026-01-07 10:39:32 +01:00
N0VA	e625447222	Update README.md	2026-01-07 09:19:49 +00:00
N0VA	a80fa055af	Add README.md	2026-01-06 21:12:11 +00:00
N0VA	cc484dbaed	Update Dockerfile	2026-01-06 21:02:08 +00:00
N0VA	2f6c6a0151	desktop styles fix	2026-01-06 21:52:27 +01:00
N0VA	f1146ecdcb	Icons and descriptions	2026-01-06 21:43:06 +01:00
N0VA	9d5118f973	Mobile UI	2026-01-06 21:32:01 +01:00
		`@@ -0,0 +1 @@`
							`<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="#fafafa"><path d="m12 3-1.912 5.813a2 2 0 0 1-1.275 1.275L3 12l5.813 1.912a2 2 0 0 1 1.275 1.275L12 21l1.912-5.813a2 2 0 0 1 1.275-1.275L21 12l-5.813-1.912a2 2 0 0 1-1.275-1.275L12 3Z"/></svg>`