AI Answerer

Screenshot → OCR → AI answer + manual text box. Safe JSON parsing.

Vous devrez installer une extension telle que Tampermonkey, Greasemonkey ou Violentmonkey pour installer ce script.

Vous devrez installer une extension telle que Tampermonkey pour installer ce script.

Vous devrez installer une extension telle que Tampermonkey ou Violentmonkey pour installer ce script.

Vous devrez installer une extension telle que Tampermonkey ou Userscripts pour installer ce script.

Vous devrez installer une extension telle que Tampermonkey pour installer ce script.

Vous devrez installer une extension de gestionnaire de script utilisateur pour installer ce script.

(J'ai déjà un gestionnaire de scripts utilisateur, laissez-moi l'installer !)

Vous devrez installer une extension telle que Stylus pour installer ce style.

Vous devrez installer une extension telle que Stylus pour installer ce style.

Vous devrez installer une extension telle que Stylus pour installer ce style.

Vous devrez installer une extension du gestionnaire de style pour utilisateur pour installer ce style.

Vous devrez installer une extension du gestionnaire de style pour utilisateur pour installer ce style.

Vous devrez installer une extension du gestionnaire de style pour utilisateur pour installer ce style.

(J'ai déjà un gestionnaire de style utilisateur, laissez-moi l'installer!)

// ==UserScript==
// @name         AI Answerer
// @namespace    http://tampermonkey.net/
// @version      12.21.1
// @description  Screenshot → OCR → AI answer + manual text box. Safe JSON parsing.
// @license      MIT
// @author       Bradley
// @match        *://*/*
// @grant        GM_addStyle
// @grant        GM_xmlhttpRequest
// @connect      api.sambanova.ai
// @require      https://cdn.jsdelivr.net/npm/[email protected]/dist/html2canvas.min.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/dist/tesseract.min.js
// ==/UserScript==

/*
MIT License

Copyright (c) 2026 Bradley

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/

(function () {

  const API_KEY = "2eb724bd-7532-4847-961b-1db757aedcb4";
  const API_URL = "https://api.sambanova.ai/v1/chat/completions";
  const MODEL = "Meta-Llama-3.1-8B-Instruct";

  GM_addStyle(`
    #ai-btn {
      position: fixed; bottom: 20px; right: 20px;
      background:#4a6cff; color:white; padding:10px 16px;
      border-radius:999px; cursor:pointer; z-index:999999;
      font-family:sans-serif; font-size:14px; border:none;
      box-shadow:0 2px 8px rgba(0,0,0,0.25);
    }
    #ai-box {
      position: absolute;
      bottom: 70px; right: 20px;
      width: 360px; background:white; border-radius:10px;
      box-shadow:0 4px 16px rgba(0,0,0,0.25);
      z-index:999999; font-family:sans-serif;
      display:flex; flex-direction:column; overflow:hidden;
    }
    #ai-head {
      background:#eef0ff; padding:8px 12px;
      font-weight:600; display:flex; justify-content:space-between;
      cursor: move;
    }
    #ai-close { cursor:pointer; font-weight:700; }
    #ai-body { padding:10px 12px; font-size:13px; }
    #ai-status { font-size:12px; color:#666; margin-bottom:6px; }
    #ai-answer {
      border:1px solid #ddd; padding:8px; border-radius:6px;
      background:#fafafa; white-space:pre-wrap; max-height:200px; overflow:auto;
    }
  `);

  function createUI() {
    if (!document.getElementById("ai-btn")) {
      const btn = document.createElement("button");
      btn.id = "ai-btn";
      btn.textContent = "Ask AI";
      btn.onclick = runOCR;
      document.body.appendChild(btn);
    }

    if (!document.getElementById("ai-box")) {
      const box = document.createElement("div");
      box.id = "ai-box";
      box.innerHTML = `
        <div id="ai-head">
          <span>AI Answer</span>
          <span id="ai-close">✕</span>
        </div>

        <div id="ai-body">
          <div id="ai-status"></div>

          <textarea id="ai-input" placeholder="Type your question..."
            style="width:100%;height:60px;margin-bottom:6px;padding:6px;border:1px solid #ccc;border-radius:6px;"></textarea>

          <button id="ai-send"
            style="width:100%;padding:8px;background:#4a6cff;color:white;border:none;border-radius:6px;margin-bottom:8px;cursor:pointer;">
            Send to AI
          </button>

          <div id="ai-answer">Press the button to begin.</div>
        </div>
      `;
      document.body.appendChild(box);

      document.getElementById("ai-close").onclick = () => box.remove();

      makeDraggable(box);

      document.getElementById("ai-send").onclick = async () => {
        const text = document.getElementById("ai-input").value.trim();
        if (!text) return setAnswer("Type something first.");
        setStatus("Sending...");
        const reply = await askAI(text);
        setStatus("Done.");
        setAnswer(reply);
      };
    }
  }

  function makeDraggable(el) {
    let offsetX = 0, offsetY = 0, dragging = false;

    el.addEventListener("mousedown", e => {
      dragging = true;
      offsetX = e.clientX - el.offsetLeft;
      offsetY = e.clientY - el.offsetTop;
    });

    document.addEventListener("mousemove", e => {
      if (!dragging) return;
      el.style.left = (e.clientX - offsetX) + "px";
      el.style.top = (e.clientY - offsetY) + "px";
    });

    document.addEventListener("mouseup", () => dragging = false);
  }

  async function runOCR() {
    createUI();

    try {
      setStatus("Capturing screen...");
      const canvas = await html2canvas(document.body);
      const img = canvas.toDataURL("image/png");

      setStatus("Running OCR...");
      const result = await Tesseract.recognize(img, "eng");
      const text = result.data.text.trim();

      if (!text) {
        setStatus("No text found.");
        setAnswer("OCR found nothing.");
        return;
      }

      setStatus("Sending to AI...");
      const reply = await askAI(text);

      setStatus("Done.");
      setAnswer(reply);
    } catch (err) {
      setStatus("Error.");
      setAnswer(String(err));
    }
  }

  function setStatus(msg) {
    const el = document.getElementById("ai-status");
    if (el) el.textContent = msg;
  }

  function setAnswer(msg) {
    const el = document.getElementById("ai-answer");
    if (el) el.textContent = msg;
  }

  function askAI(text) {
    return new Promise((resolve) => {
      GM_xmlhttpRequest({
        method: "POST",
        url: API_URL,
        headers: {
          "Content-Type": "application/json",
          "Authorization": "Bearer " + API_KEY
        },
        data: JSON.stringify({
          model: MODEL,
          max_tokens: 1024,
          messages: [
            { role: "system", content: "Interpret OCR text and answer clearly." },
            { role: "user", content: text }
          ]
        }),

        // ✅ SAFE JSON FIX — ONLY CHANGE YOU ASKED FOR
        onload: function (response) {
          const text = response.responseText;

          try {
            const json = JSON.parse(text);
            resolve(json.choices?.[0]?.message?.content || "(No response)");
          } catch (e) {
            resolve("Invalid JSON received:\n\n" + text);
          }
        },

        onerror: function (err) {
          resolve("Request failed:\n" + JSON.stringify(err));
        }
      });
    });
  }

  createUI();
})();