app.py

import gradio as gr
 
HTML_APP = """
<style>
  @import url('https://fonts.googleapis.com/css2?family=Vazirmatn:wght@300;400;600;800&display=swap');
 
  #planner-root {
    font-family: 'Vazirmatn', sans-serif;
    direction: rtl;
    background: #f5f7fa;
    color: #1a202c;
    padding: 32px 20px 60px;
    min-height: 100vh;
  }
  #planner-root h1 {
    text-align: center; font-size: 2rem; font-weight: 800;
    background: linear-gradient(135deg, #4f46e5, #7c3aed);
    -webkit-background-clip: text; -webkit-text-fill-color: transparent;
    margin: 0 0 6px;
  }
  .sub { text-align: center; color: #718096; font-size: 0.88rem; margin-bottom: 24px; }
 
  .row { display: grid; grid-template-columns: 1fr 1fr; gap: 14px; margin-bottom: 10px; }
  @media(max-width:560px){ .row { grid-template-columns: 1fr; } }
 
  .field label { display: block; font-size: 0.85rem; font-weight: 600; color: #4a5568; margin-bottom: 5px; }
  .field textarea, .field input, .field select {
    width: 100%; background: #fff;
    border: 1px solid #cbd5e0; border-radius: 8px;
    color: #1a202c; font-family: 'Vazirmatn', sans-serif;
    font-size: 0.9rem; padding: 9px 12px;
    transition: border-color .2s, box-shadow .2s; resize: vertical;
  }
  .field textarea { min-height: 75px; }
  .field input[type=password], .field select { height: 42px; }
  .field textarea:focus, .field input:focus, .field select:focus {
    outline: none; border-color: #667eea;
    box-shadow: 0 0 0 3px rgba(102,126,234,.15);
  }
  .field select { cursor: pointer; }
  .field .hint { font-size: .75rem; color: #a0aec0; margin-top: 4px; }
 
  #startBtn {
    width: 100%; padding: 12px;
    background: linear-gradient(135deg, #667eea, #764ba2);
    border: none; border-radius: 8px; color: #fff;
    font-family: 'Vazirmatn', sans-serif; font-weight: 700; font-size: 1rem;
    cursor: pointer; margin-top: 10px; margin-bottom: 22px;
    box-shadow: 0 4px 18px rgba(102,126,234,.3); transition: all .2s;
  }
  #startBtn:hover:not(:disabled) { filter: brightness(1.08); transform: translateY(-1px); }
  #startBtn:disabled { opacity: .5; cursor: not-allowed; transform: none; }
 
  .step {
    border-radius: 12px; margin: 9px 0;
    border: 1px solid #e2e8f0; background: #fff;
    overflow: hidden; transition: border-color .3s, box-shadow .3s;
  }
  .step.s-pending { opacity: .38; }
  .step.s-active  { border-color: #667eea; box-shadow: 0 0 0 3px rgba(102,126,234,.1); }
  .step.s-done    { border-color: #68d391; }
  .step.s-error   { border-color: #fc8181; }
 
  .step-hd {
    display: flex; align-items: center; gap: 10px;
    padding: 12px 16px; font-weight: 700; font-size: .9rem;
    background: #f7fafc; color: #2d3748; border-bottom: 1px solid #e2e8f0;
  }
  .step.s-active .step-hd { background: #ebf4ff; color: #3c5fb8; border-color: #bee3f8; }
  .step.s-done   .step-hd { background: #f0fff4; color: #276749; border-color: #c6f6d5; }
  .step.s-error  .step-hd { background: #fff5f5; color: #c53030; border-color: #fed7d7; }
 
  .step-hd .badge {
    margin-right: auto; font-size: .72rem; font-weight: 600;
    padding: 2px 9px; border-radius: 20px;
    background: rgba(0,0,0,.06); color: inherit; white-space: nowrap;
  }
  .step-body {
    max-height: 0; overflow: hidden;
    transition: max-height .35s ease;
  }
  .step.s-active .step-body,
  .step.s-done   .step-body,
  .step.s-error  .step-body { max-height: 700px; }
 
  .item {
    display: flex; gap: 10px; align-items: flex-start;
    padding: 8px 14px; border-bottom: 1px solid #f0f4f8;
    font-size: .87rem; line-height: 1.7; color: #2d3748;
  }
  .item:last-child { border-bottom: none; }
  .item .num {
    min-width: 22px; height: 22px; border-radius: 50%;
    background: #667eea; color: #fff;
    font-size: .72rem; font-weight: 700;
    display: flex; align-items: center; justify-content: center; margin-top: 2px; flex-shrink: 0;
  }
  .step.s-done .item .num { background: #48bb78; }
  .step.s-error .item .num { background: #fc8181; }
 
  .thinking {
    padding: 10px 16px; color: #a0aec0;
    font-style: italic; font-size: .87rem;
  }
 
  @keyframes spin { to { transform: rotate(360deg); } }
  .spin-icon { display: inline-block; animation: spin 1s linear infinite; }
 
  #doneBanner {
    text-align: center; margin-top: 16px; padding: 14px;
    background: #f0fff4; border: 1px solid #68d391;
    border-radius: 10px; color: #276749;
    font-weight: 700; font-size: .97rem; display: none;
  }
  #errBox {
    background: #fff5f5; border: 1px solid #fc8181;
    color: #c53030; padding: 11px 14px; border-radius: 8px;
    font-weight: 600; margin-bottom: 12px; display: none; font-size: .88rem;
  }
  #modelStatus {
    font-size: .75rem; color: #a0aec0; margin-top: 3px;
  }
</style>
 
<div id="planner-root">
  <h1>🧩 MultiStep Task Planner</h1>
  <p class="sub">برنامه‌ریزی هوشمند با استدلال چندمرحله‌ای</p>
 
  <div class="row">
    <div class="field">
      <label>🎯 هدف شما</label>
      <textarea id="goal" placeholder="مثال: برنامه سفر ۳ روزه به ماسال"></textarea>
    </div>
    <div class="field">
      <label>🔑 OpenRouter API Key</label>
      <input type="password" id="apikey" placeholder="sk-or-v1-..." oninput="onKeyChange()">
      <div class="hint">برای دریافت کلید رایگان: openrouter.ai</div>
    </div>
  </div>
 
  <div class="field" style="margin-bottom:0">
    <label>🤖 مدل هوش مصنوعی</label>
    <select id="modelSelect">
      <option value="">— ابتدا API Key وارد کنید —</option>
    </select>
    <div id="modelStatus">وارد کردن API Key مدل‌های رایگان را بارگذاری می‌کند</div>
  </div>
 
  <button id="startBtn" onclick="startPlanning()">🚀 شروع برنامه‌ریزی</button>
 
  <div id="errBox"></div>
  <div id="stepsArea"></div>
  <div id="doneBanner">✅ برنامه‌ریزی کامل شد!</div>
</div>
 
<script>
// Known fallback free models (always valid)
const FALLBACK_MODELS = [
  { id: "deepseek/deepseek-r1:free",        name: "DeepSeek R1 (رایگان)" },
  { id: "deepseek/deepseek-v3-base:free",   name: "DeepSeek V3 (رایگان)" },
  { id: "nvidia/nemotron-3-ultra:free",     name: "NVIDIA Nemotron 3 Ultra (رایگان)" },
  { id: "openrouter/owl-alpha:free",        name: "OpenRouter Owl Alpha (رایگان)" },
  { id: "openai/gpt-oss-20b:free",          name: "GPT-OSS 20B (رایگان)" },
];
 
let keyTimeout = null;
 
function onKeyChange() {
  clearTimeout(keyTimeout);
  keyTimeout = setTimeout(loadModels, 800);
}
 
async function loadModels() {
  const apiKey = document.getElementById("apikey").value.trim();
  const sel = document.getElementById("modelSelect");
  const status = document.getElementById("modelStatus");
  if (!apiKey) return;
 
  status.textContent = "⏳ در حال بارگذاری مدل‌های رایگان...";
  sel.innerHTML = '<option value="">در حال بارگذاری...</option>';
 
  try {
    const r = await fetch("https://openrouter.ai/api/v1/models", {
      headers: { "Authorization": "Bearer " + apiKey }
    });
    if (!r.ok) throw new Error("خطا در اتصال");
    const data = await r.json();
    const freeModels = data.data.filter(m =>
      m.id.endsWith(":free") &&
      m.pricing &&
      parseFloat(m.pricing.prompt) === 0
    ).slice(0, 20);
 
    sel.innerHTML = "";
    freeModels.forEach((m, i) => {
      const opt = document.createElement("option");
      opt.value = m.id;
      opt.textContent = (m.name || m.id) + " (رایگان)";
      if (i === 0) opt.selected = true;
      sel.appendChild(opt);
    });
 
    if (freeModels.length === 0) throw new Error("مدل رایگان پیدا نشد");
    status.textContent = "✅ " + freeModels.length + " مدل رایگان بارگذاری شد";
  } catch(e) {
    // fallback
    sel.innerHTML = "";
    FALLBACK_MODELS.forEach((m, i) => {
      const opt = document.createElement("option");
      opt.value = m.id;
      opt.textContent = m.name;
      if (i === 0) opt.selected = true;
      sel.appendChild(opt);
    });
    status.textContent = "⚠️ لیست پیش‌فرض (بارگذاری خودکار ناموفق بود)";
  }
}
 
const STEPS = [
  {
    id: "s1", title: "تحلیل هدف", emoji: "🎯", badge: "شناخت",
    prompt: (c) =>
      `هدف: "${c.goal}"
این هدف را به ۵ گام اصلی تقسیم کن.
فقط لیست شماره‌گذاری‌شده فارسی، هر مورد یک جمله.`
  },
  {
    id: "s2", title: "منابع و ابزارها", emoji: "🛠️", badge: "آمادگی",
    prompt: (c) =>
      `هدف: "${c.goal}"
گام‌ها: ${c.s1}
چه منابع، ابزارها یا پیش‌نیازهایی لازم است؟
لیست مختصر فارسی.`
  },
  {
    id: "s3", title: "زمان‌بندی", emoji: "📅", badge: "برنامه",
    prompt: (c) =>
      `هدف: "${c.goal}"
گام‌ها: ${c.s1}
یک زمان‌بندی واقعی برای رسیدن به این هدف بنویس.
فرمت: هفته/ماه X: فعالیت ...`
  },
  {
    id: "s4", title: "برنامه عملیاتی", emoji: "📋", badge: "اجرا",
    prompt: (c) =>
      `هدف: "${c.goal}"
گام‌ها: ${c.s1} | منابع: ${c.s2} | زمان‌بندی: ${c.s3}
یک برنامه عملی و دقیق برای شروع بنویس.`
  },
  {
    id: "s5", title: "نکات کلیدی", emoji: "✅", badge: "توصیه",
    prompt: (c) =>
      `هدف: "${c.goal}"
برنامه: ${c.s4}
۵ نکته مهم برای موفقیت در این مسیر بنویس.
لیست شماره‌گذاری‌شده فارسی.`
  }
];


 
function parseLines(text) {
  return text.split('\\n')
    .map(l => l.replace(/^[\\d]+[\\.\\-\\)]\\.?\\s*/, '').trim())
    .filter(l => l.length > 3);
}
 
function buildSteps() {
  const area = document.getElementById("stepsArea");
  area.innerHTML = "";
  STEPS.forEach((s, i) => {
    const d = document.createElement("div");
    d.className = "step s-pending"; d.id = "step-" + i;
    d.innerHTML = `
      <div class="step-hd">
        <span>${s.emoji}</span>
        <span>مرحله ${i+1} — ${s.title}</span>
        <span class="badge">${s.badge}</span>
      </div>
      <div class="step-body"></div>`;
    area.appendChild(d);
  });
}
 
function setStep(idx, state, lines) {
  const el = document.getElementById("step-" + idx);
  if (!el) return;
  el.className = "step s-" + state;
  const s = STEPS[idx];
  const icons = { pending: s.emoji, active: '<span class="spin-icon">⏳</span>', done: "✅", error: "❌" };
  el.querySelector(".step-hd").innerHTML = `
    <span>${icons[state]}</span>
    <span>مرحله ${idx+1} — ${s.title}</span>
    <span class="badge">${s.badge}</span>`;
  const body = el.querySelector(".step-body");
  if (state === "active") {
    body.innerHTML = '<div class="thinking">در حال پردازش...</div>';
  } else if (lines && lines.length) {
    body.innerHTML = lines.map((l, i) =>
      `<div class="item"><span class="num">${state==="error"?"!":i+1}</span><span>${l}</span></div>`
    ).join("");
  }
}
 
function showErr(msg) {
  const b = document.getElementById("errBox");
  b.textContent = "❌ " + msg; b.style.display = "block";
}
 
async function callLLM(apiKey, model, prompt) {
  const controller = new AbortController();
  const tid = setTimeout(() => controller.abort(), 50000);
  try {
    const r = await fetch("https://openrouter.ai/api/v1/chat/completions", {
      method: "POST", signal: controller.signal,
      headers: {
        "Authorization": "Bearer " + apiKey,
        "Content-Type": "application/json",
        "HTTP-Referer": "https://huggingface.co/spaces",
        "X-Title": "MultiStep Task Planner"
      },
      body: JSON.stringify({
        model: model,
        messages: [{ role: "user", content: prompt }],
        max_tokens: 500,
        temperature: 0.6
      })
    });
    clearTimeout(tid);
    if (!r.ok) {
      const errText = await r.text();
      // If model not found, try next fallback
      if (r.status === 404) throw new Error("MODEL_NOT_FOUND:" + errText);
      throw new Error(errText.slice(0, 120));
    }
    const d = await r.json();
    return d.choices[0].message.content.trim();
  } catch(e) {
    clearTimeout(tid);
    throw e;
  }
}
 
async function callWithFallback(apiKey, prompt) {
  const sel = document.getElementById("modelSelect");
  // Try selected model first, then fallbacks
  const modelsToTry = [sel.value, ...FALLBACK_MODELS.map(m => m.id)]
    .filter((v, i, a) => v && a.indexOf(v) === i); // unique, non-empty
 
  for (const model of modelsToTry) {
    try {
      const result = await callLLM(apiKey, model, prompt);
      // Update selector to show which model worked
      if (model !== sel.value) {
        document.getElementById("modelStatus").textContent = "✅ استفاده از: " + model;
      }
      return result;
    } catch(e) {
      if (e.message.startsWith("MODEL_NOT_FOUND") || e.name === "AbortError") {
        continue; // try next model
      }
      throw e; // real error, stop
    }
  }
  throw new Error("هیچ مدل رایگانی در دسترس نیست. لطفاً بعداً امتحان کنید.");
}
 
async function startPlanning() {
  const goal = document.getElementById("goal").value.trim();
  const apiKey = document.getElementById("apikey").value.trim();
  const btn = document.getElementById("startBtn");
 
  document.getElementById("errBox").style.display = "none";
  document.getElementById("doneBanner").style.display = "none";
 
  if (!goal)   { showErr("هدف را وارد کنید"); return; }
  if (!apiKey) { showErr("API Key را وارد کنید"); return; }
 
  btn.disabled = true; btn.textContent = "⏳ در حال برنامه‌ریزی...";
  buildSteps();
 
  const ctx = { goal };
  for (let i = 0; i < STEPS.length; i++) {
    setStep(i, "active");
    try {
      const raw = await callWithFallback(apiKey, STEPS[i].prompt(ctx));
      ctx[STEPS[i].id] = raw;
      const lines = parseLines(raw);
      setStep(i, "done", lines.length > 0 ? lines : [raw]);
    } catch(e) {
      ctx[STEPS[i].id] = "";
      setStep(i, "error", [e.message]);
    }
  }
 
  document.getElementById("doneBanner").style.display = "block";
  btn.disabled = false; btn.textContent = "🔄 برنامه‌ریزی مجدد";
}
</script>
"""
 
with gr.Blocks(title="MultiStep Task Planner") as demo:
    gr.HTML(HTML_APP)
 
if __name__ == "__main__":
    demo.launch()