"""
Atelier IA — page de classe pour générer des images via fal.ai
La clé API reste côté serveur : les étudiants ne la voient jamais.

Variables d'environnement :
  FAL_KEY        (obligatoire) clé API fal.ai
  CLASS_CODE     mot de passe commun des étudiants            (défaut : iloi.ia)
  ADMIN_USER     identifiant de l'enseignant                  (défaut : prof)
  ADMIN_CODE     mot de passe de l'enseignant                 (obligatoire pour l'espace prof)
  QUOTA          crédits par étudiant                         (défaut : 60)
  DATA_DIR       dossier de stockage                          (défaut : ./data)
  HF_TOKEN + DATA_REPO   (optionnel, Hugging Face) sauvegarde automatique des galeries
                         dans un dataset privé, ex. "cedric/atelier-ia-data"
"""

import csv
import io
import json
import os
import re
import threading
import time
import unicodedata
import uuid
import zipfile
from datetime import datetime

import fal_client
import gradio as gr

# Compatibilité si le Space est réglé sur du matériel "ZeroGPU" :
# l'appli n'utilise pas de GPU (le calcul se fait chez fal.ai), mais ZeroGPU exige
# au moins une fonction @spaces.GPU. Sur "CPU basic" ou en local, ce bloc est ignoré.
try:
    import spaces

    @spaces.GPU
    def _zerogpu_placeholder():
        return None
except Exception:
    pass
import requests

# ---------------------------------------------------------------- configuration

DATA_DIR = os.path.abspath(os.environ.get("DATA_DIR", "data"))
CLASS_CODE = os.environ.get("CLASS_CODE", "iloi.ia")
ADMIN_USER = os.environ.get("ADMIN_USER", "prof").strip().lower()
ADMIN_CODE = os.environ.get("ADMIN_CODE", "")
DEFAULT_QUOTA = int(os.environ.get("QUOTA", "60"))

# "cout" = crédits décomptés par image générée (à ajuster selon vos tarifs fal.ai)
T2I_MODELS = {
    "Krea 2 Turbo": {"id": "fal-ai/krea-2/turbo", "cout": 1},
    "Z-Image Turbo": {"id": "fal-ai/z-image/turbo", "cout": 1},
}
I2I_MODELS = {
    "Nano Banana 2 (édition)": {"id": "fal-ai/nano-banana-2/edit", "cout": 4},
    "Seedream 5 Pro (édition)": {"id": "bytedance/seedream/v5/pro/edit", "cout": 4},
}

# Format commun -> paramètres propres à chaque modèle
FORMATS = ["1:1", "4:3", "3:4", "16:9", "9:16"]
IMAGE_SIZE = {
    "auto": "auto_2K",
    "1:1": "square_hd",
    "4:3": "landscape_4_3",
    "3:4": "portrait_4_3",
    "16:9": "landscape_16_9",
    "9:16": "portrait_16_9",
}

MAX_REF_IMAGES = 4

os.makedirs(os.path.join(DATA_DIR, "users"), exist_ok=True)
EXAMPLE_CSV = os.path.join(os.path.dirname(os.path.abspath(__file__)), "templates_exemple.csv")

# ---------------------------------------------------------------- sauvegarde HF (optionnelle)

_lock = threading.Lock()
_scheduler = None
if os.environ.get("HF_TOKEN") and os.environ.get("DATA_REPO"):
    try:
        from huggingface_hub import CommitScheduler, snapshot_download

        repo = os.environ["DATA_REPO"]
        try:
            snapshot_download(repo_id=repo, repo_type="dataset", local_dir=DATA_DIR,
                              token=os.environ["HF_TOKEN"])
        except Exception as e:  # premier lancement : le dataset n'existe pas encore
            print("Pas de données à restaurer :", e)
        _scheduler = CommitScheduler(repo_id=repo, repo_type="dataset", folder_path=DATA_DIR,
                                     every=2, private=True, token=os.environ["HF_TOKEN"])
        _lock = _scheduler.lock
        print("Sauvegarde automatique activée vers", repo)
    except Exception as e:
        print("Sauvegarde HF désactivée :", e)

# ---------------------------------------------------------------- utilitaires

def slug(name: str) -> str:
    name = unicodedata.normalize("NFKD", name or "").encode("ascii", "ignore").decode()
    name = re.sub(r"[^a-z0-9_-]+", "-", name.strip().lower()).strip("-")
    return name[:30]


def read_json(path, default):
    try:
        with open(path, encoding="utf-8") as f:
            return json.load(f)
    except (FileNotFoundError, json.JSONDecodeError):
        return default


def write_json(path, data):
    os.makedirs(os.path.dirname(path), exist_ok=True)
    tmp = path + ".tmp"
    with open(tmp, "w", encoding="utf-8") as f:
        json.dump(data, f, ensure_ascii=False, indent=1)
    os.replace(tmp, path)


def settings():
    return read_json(os.path.join(DATA_DIR, "settings.json"), {"quota": DEFAULT_QUOTA})


def user_dir(user):
    return os.path.join(DATA_DIR, "users", user)


def load_user(user):
    return read_json(os.path.join(user_dir(user), "gallery.json"), {"used": 0, "items": []})


def save_user(user, data):
    write_json(os.path.join(user_dir(user), "gallery.json"), data)


def current_user(request: gr.Request):
    user = slug(getattr(request, "username", "") or "")
    if not user:
        raise gr.Error("Session expirée : rechargez la page et reconnectez-vous.")
    return user


def remaining(user):
    return settings()["quota"] - load_user(user)["used"]


def status_line(user):
    if user == ADMIN_USER:
        return f"**Connecté : {user}** (enseignant)"
    q = settings()["quota"]
    used = load_user(user)["used"]
    return f"**Connecté : {user}** · crédits restants : **{max(q - used, 0)} / {q}**"


# ---------------------------------------------------------------- templates CSV

def parse_templates_csv(path):
    """Lit un CSV (virgule ou point-virgule, UTF-8 ou Excel) avec au minimum les colonnes titre et prompt."""
    raw = open(path, "rb").read()
    for enc in ("utf-8-sig", "cp1252", "latin-1"):
        try:
            text = raw.decode(enc)
            break
        except UnicodeDecodeError:
            continue
    first = text.splitlines()[0] if text else ""
    delim = ";" if first.count(";") > first.count(",") else ","
    rows = list(csv.DictReader(io.StringIO(text), delimiter=delim))
    out = []
    for r in rows:
        r = {(k or "").strip().lower(): (v or "").strip() for k, v in r.items()}
        prompt = r.get("prompt") or r.get("texte") or ""
        title = r.get("titre") or r.get("title") or r.get("nom") or prompt[:40]
        cat = r.get("categorie") or r.get("catégorie") or r.get("category") or ""
        if prompt:
            out.append({"categorie": cat, "titre": title, "prompt": prompt})
    if not out:
        raise gr.Error("Aucun template trouvé. Le CSV doit contenir au moins les colonnes « titre » et « prompt ».")
    return out


def all_templates(user):
    cls = read_json(os.path.join(DATA_DIR, "templates.json"), [])
    perso = read_json(os.path.join(user_dir(user), "templates.json"), []) if user else []
    return [dict(t, source="classe") for t in cls] + [dict(t, source="perso") for t in perso]


def template_label(t):
    tag = "★ " if t["source"] == "perso" else ""
    return f"{tag}{t['categorie'] + ' — ' if t['categorie'] else ''}{t['titre']}"


def template_choices(user):
    return [template_label(t) for t in all_templates(user)]


def seed_class_templates():
    """Au premier lancement, charge templates_exemple.csv comme templates de classe."""
    path = os.path.join(DATA_DIR, "templates.json")
    if not os.path.exists(path) and os.path.exists(EXAMPLE_CSV):
        try:
            write_json(path, parse_templates_csv(EXAMPLE_CSV))
        except Exception as e:
            print("Templates d'exemple non chargés :", e)


seed_class_templates()

# ---------------------------------------------------------------- génération

def _save_results(user, result, meta, cost_per_image):
    images = result.get("images") or []
    nsfw = result.get("has_nsfw_concepts") or [False] * len(images)
    saved = []
    for i, img in enumerate(images):
        if i < len(nsfw) and nsfw[i]:
            continue
        r = requests.get(img["url"], timeout=120)
        r.raise_for_status()
        ext = "png" if "png" in (img.get("content_type") or "") else (
            "webp" if "webp" in (img.get("content_type") or "") else "jpg")
        iid = datetime.now().strftime("%Y%m%d-%H%M%S-") + uuid.uuid4().hex[:6]
        rel = f"images/{iid}.{ext}"
        path = os.path.join(user_dir(user), rel)
        os.makedirs(os.path.dirname(path), exist_ok=True)
        with _lock:
            with open(path, "wb") as f:
                f.write(r.content)
        saved.append({"id": iid, "file": rel, "created": time.strftime("%Y-%m-%d %H:%M"),
                      "seed": result.get("seed"), **meta})
    with _lock:
        data = load_user(user)
        data["items"].extend(saved)
        data["used"] += cost_per_image * len(saved)
        save_user(user, data)
    blocked = len(images) - len(saved)
    return saved, blocked


def _check_quota(user, cost):
    if user == ADMIN_USER:
        return
    left = remaining(user)
    if cost > left:
        raise gr.Error(f"Crédits insuffisants : cette génération coûte {cost}, il vous reste {max(left, 0)}.")


def _call_fal(endpoint, args):
    if not os.environ.get("FAL_KEY"):
        raise gr.Error("La clé FAL_KEY n'est pas configurée sur le serveur. Prévenez l'enseignant.")
    try:
        return fal_client.subscribe(endpoint, arguments=args)
    except Exception as e:
        raise gr.Error(f"Erreur fal.ai : {e}")


def _result_message(saved, blocked, cost, user):
    msg = f"{len(saved)} image(s) générée(s) · {cost * len(saved)} crédit(s) utilisé(s)."
    if blocked:
        msg += f" {blocked} image(s) bloquée(s) par le filtre de sécurité (non décomptée(s))."
    return msg


def generate_t2i(prompt, model_label, fmt, n, seed, request: gr.Request):
    user = current_user(request)
    prompt = (prompt or "").strip()
    if not prompt:
        raise gr.Error("Écrivez un prompt (ou choisissez un template).")
    model = T2I_MODELS[model_label]
    n = int(n)
    cost = model["cout"] * n
    _check_quota(user, cost)
    args = {"prompt": prompt, "num_images": n, "image_size": IMAGE_SIZE[fmt],
            "enable_safety_checker": True, "output_format": "png"}
    if seed and int(seed) > 0:
        args["seed"] = int(seed)
    result = _call_fal(model["id"], args)
    saved, blocked = _save_results(user, result, {"mode": "Texte → Image", "model": model_label,
                                                  "prompt": prompt}, model["cout"])
    gal = [(os.path.join(user_dir(user), s["file"]), s["model"]) for s in saved]
    return gal, _result_message(saved, blocked, model["cout"], user), status_line(user)


def generate_i2i(refs, prompt, model_label, fmt, n, request: gr.Request):
    user = current_user(request)
    prompt = (prompt or "").strip()
    paths = [r[0] if isinstance(r, (list, tuple)) else r for r in (refs or [])]
    if not paths:
        raise gr.Error("Ajoutez au moins une image de référence.")
    if len(paths) > MAX_REF_IMAGES:
        raise gr.Error(f"{MAX_REF_IMAGES} images de référence maximum.")
    if not prompt:
        raise gr.Error("Décrivez la modification souhaitée.")
    model = I2I_MODELS[model_label]
    n = int(n)
    cost = model["cout"] * n
    _check_quota(user, cost)
    try:
        urls = [fal_client.upload_file(p) for p in paths]
    except Exception as e:
        raise gr.Error(f"Envoi des images impossible : {e}")
    args = {"prompt": prompt, "image_urls": urls, "num_images": n}
    if "nano-banana" in model["id"]:
        args.update({"aspect_ratio": fmt, "resolution": "1K", "output_format": "png"})
    else:
        args.update({"image_size": IMAGE_SIZE[fmt], "enable_safety_checker": True})
    result = _call_fal(model["id"], args)
    saved, blocked = _save_results(user, result, {"mode": "Image → Image", "model": model_label,
                                                  "prompt": prompt, "refs": len(paths)}, model["cout"])
    gal = [(os.path.join(user_dir(user), s["file"]), s["model"]) for s in saved]
    return gal, _result_message(saved, blocked, model["cout"], user), status_line(user)


# ---------------------------------------------------------------- galerie

def visible_items(user):
    return [it for it in reversed(load_user(user)["items"]) if not it.get("deleted")]


def gallery_view(user):
    items = visible_items(user)
    gal = [(os.path.join(user_dir(user), it["file"]), f"{it['model']} · {it['prompt'][:80]}") for it in items]
    return gal, [it["id"] for it in items]


def refresh_gallery(request: gr.Request):
    user = current_user(request)
    gal, ids = gallery_view(user)
    return gal, ids, None, "Cliquez sur une image pour voir son prompt.", status_line(user)


def select_item(ids, evt: gr.SelectData, request: gr.Request):
    user = current_user(request)
    if evt.index is None or evt.index >= len(ids):
        return None, ""
    iid = ids[evt.index]
    it = next((x for x in load_user(user)["items"] if x["id"] == iid), None)
    if not it:
        return None, ""
    info = (f"**{it['mode']}** · {it['model']} · {it['created']}"
            + (f" · seed {it['seed']}" if it.get("seed") else "")
            + f"\n\n> {it['prompt']}")
    return iid, info


def _item_path(user, iid):
    it = next((x for x in load_user(user)["items"] if x["id"] == iid), None)
    return os.path.join(user_dir(user), it["file"]) if it else None


def send_to_i2i(iid, current_refs, request: gr.Request):
    user = current_user(request)
    if not iid:
        raise gr.Error("Sélectionnez d'abord une image dans votre galerie.")
    refs = [r[0] if isinstance(r, (list, tuple)) else r for r in (current_refs or [])]
    if len(refs) >= MAX_REF_IMAGES:
        raise gr.Error(f"{MAX_REF_IMAGES} images de référence maximum.")
    refs.append(_item_path(user, iid))
    gr.Info("Image ajoutée dans l'onglet Image → Image.")
    return refs


def reuse_prompt(iid, request: gr.Request):
    user = current_user(request)
    it = next((x for x in load_user(user)["items"] if x["id"] == iid), None)
    if not it:
        raise gr.Error("Sélectionnez d'abord une image.")
    gr.Info("Prompt copié dans l'onglet Texte → Image.")
    return it["prompt"]


def delete_item(iid, request: gr.Request):
    user = current_user(request)
    if not iid:
        raise gr.Error("Sélectionnez d'abord une image.")
    with _lock:
        data = load_user(user)
        for it in data["items"]:
            if it["id"] == iid:
                it["deleted"] = True
        save_user(user, data)
    gal, ids = gallery_view(user)
    return gal, ids, None, "Image retirée de la galerie."


def zip_gallery(request: gr.Request):
    user = current_user(request)
    items = visible_items(user)
    if not items:
        raise gr.Error("Votre galerie est vide.")
    zpath = os.path.join(DATA_DIR, "_exports", f"galerie-{user}.zip")
    os.makedirs(os.path.dirname(zpath), exist_ok=True)
    lines = ["fichier;date;mode;modele;prompt"]
    with zipfile.ZipFile(zpath, "w", zipfile.ZIP_DEFLATED) as z:
        for it in items:
            name = os.path.basename(it["file"])
            z.write(os.path.join(user_dir(user), it["file"]), name)
            lines.append(f"{name};{it['created']};{it['mode']};{it['model']};\"{it['prompt'].replace(chr(34), chr(39))}\"")
        z.writestr("prompts.csv", "" + "\n".join(lines))
    return zpath


# ---------------------------------------------------------------- templates (UI)

def on_template(label, request: gr.Request):
    user = current_user(request)
    for t in all_templates(user):
        if template_label(t) == label:
            return t["prompt"]
    return gr.update()


def import_perso_templates(file, request: gr.Request):
    user = current_user(request)
    if not file:
        raise gr.Error("Choisissez un fichier CSV.")
    new = parse_templates_csv(file)
    path = os.path.join(user_dir(user), "templates.json")
    with _lock:
        write_json(path, read_json(path, []) + new)
    gr.Info(f"{len(new)} template(s) personnel(s) importé(s).")
    return gr.Dropdown(choices=template_choices(user), value=None), None


# ---------------------------------------------------------------- espace enseignant

def _require_admin(request):
    user = current_user(request)
    if user != ADMIN_USER:
        raise gr.Error("Réservé à l'enseignant.")
    return user


def admin_overview(request: gr.Request):
    _require_admin(request)
    q = settings()["quota"]
    rows, total = [], 0
    base = os.path.join(DATA_DIR, "users")
    for u in sorted(os.listdir(base)):
        if u == ADMIN_USER or not os.path.isdir(os.path.join(base, u)):
            continue
        d = load_user(u)
        n = len([i for i in d["items"] if not i.get("deleted")])
        rows.append([u, n, d["used"], max(q - d["used"], 0)])
        total += d["used"]
    admin = load_user(ADMIN_USER)
    summary = (f"**{len(rows)} étudiant(s)** · quota actuel : **{q} crédits** · "
               f"crédits consommés par les étudiants : **{total}** · par l'enseignant : **{admin['used']}**")
    students = [r[0] for r in rows]
    return rows, summary, gr.Dropdown(choices=students), gr.Dropdown(choices=students)


def admin_set_quota(q, request: gr.Request):
    _require_admin(request)
    with _lock:
        s = settings()
        s["quota"] = int(q)
        write_json(os.path.join(DATA_DIR, "settings.json"), s)
    gr.Info(f"Quota fixé à {int(q)} crédits par étudiant.")
    return admin_overview(request)


def admin_reset(student, request: gr.Request):
    _require_admin(request)
    if not student:
        raise gr.Error("Choisissez un étudiant.")
    with _lock:
        d = load_user(student)
        d["used"] = 0
        save_user(student, d)
    gr.Info(f"Crédits de {student} remis à zéro.")
    return admin_overview(request)


def admin_view_gallery(student, request: gr.Request):
    _require_admin(request)
    if not student:
        return []
    return gallery_view(student)[0]


def admin_import_templates(file, request: gr.Request):
    _require_admin(request)
    if not file:
        raise gr.Error("Choisissez un fichier CSV.")
    new = parse_templates_csv(file)
    with _lock:
        write_json(os.path.join(DATA_DIR, "templates.json"), new)
    gr.Info(f"{len(new)} template(s) de classe importé(s) (remplacent les précédents).")
    return None


# ---------------------------------------------------------------- authentification

def check_auth(username, password):
    u = slug(username)
    if not u:
        return False
    if u == ADMIN_USER:
        return bool(ADMIN_CODE) and password == ADMIN_CODE
    return password == CLASS_CODE


# ---------------------------------------------------------------- interface

CSS = """
.gradio-container {max-width: 1200px !important}
#status {text-align:right}
footer {display:none !important}
"""

with gr.Blocks(title="IA — Génération d'images", theme=gr.themes.Soft(primary_hue="orange"), css=CSS) as demo:
    with gr.Row():
        gr.Markdown("## IA — Génération d'images")
        status = gr.Markdown("", elem_id="status")

    with gr.Tabs() as tabs:
        # ----------------------------------------------------- Texte → Image
        with gr.Tab("Texte → Image", id="t2i"):
            with gr.Row():
                with gr.Column(scale=2):
                    tpl = gr.Dropdown(label="Template de prompt", choices=[], value=None,
                                      info="Choisir un modèle de prompt, puis l'adapter (remplacer les [CROCHETS]).")
                    t2i_prompt = gr.Textbox(label="Prompt", lines=5,
                                            placeholder="Décrivez l'image : sujet, style, cadrage, lumière…")
                    with gr.Row():
                        t2i_model = gr.Dropdown(list(T2I_MODELS), value="Krea 2 Turbo", label="Modèle")
                        t2i_fmt = gr.Dropdown(FORMATS, value="1:1", label="Format")
                    with gr.Row():
                        t2i_n = gr.Slider(1, 4, value=1, step=1, label="Nombre d'images")
                        t2i_seed = gr.Number(value=0, precision=0, label="Seed (0 = aléatoire)")
                    t2i_btn = gr.Button("Générer", variant="primary")
                    with gr.Accordion("Importer mes propres templates (CSV)", open=False):
                        gr.Markdown("Colonnes : `categorie`, `titre`, `prompt` (séparateur virgule ou point-virgule). "
                                    "Vos templates apparaissent avec une ★.")
                        perso_csv = gr.File(label="Fichier CSV", file_types=[".csv"], type="filepath")
                        perso_btn = gr.Button("Importer")
                with gr.Column(scale=3):
                    t2i_out = gr.Gallery(label="Résultat", columns=2, height=520, object_fit="contain")
                    t2i_msg = gr.Markdown()

        # ----------------------------------------------------- Image → Image
        with gr.Tab("Image → Image", id="i2i"):
            with gr.Row():
                with gr.Column(scale=2):
                    refs = gr.Gallery(label=f"Images de référence (1 à {MAX_REF_IMAGES}) — croquis, rough, décor…",
                                      type="filepath", interactive=True, file_types=["image"],
                                      columns=4, height=220)
                    i2i_prompt = gr.Textbox(label="Consigne", lines=4,
                                            placeholder="Ex. : Colorise ce rough en aplats façon anime, garde le trait original.")
                    with gr.Row():
                        i2i_model = gr.Dropdown(list(I2I_MODELS), value="Nano Banana 2 (édition)", label="Modèle")
                        i2i_fmt = gr.Dropdown(["auto"] + FORMATS, value="auto", label="Format")
                    i2i_n = gr.Slider(1, 4, value=1, step=1, label="Nombre d'images")
                    i2i_btn = gr.Button("Générer", variant="primary")
                    gr.Markdown(f"Les modèles d'édition coûtent plus cher : "
                                + ", ".join(f"{k} = {v['cout']} crédits/image" for k, v in I2I_MODELS.items())
                                + ". Texte → Image = 1 crédit/image.")
                with gr.Column(scale=3):
                    i2i_out = gr.Gallery(label="Résultat", columns=2, height=520, object_fit="contain")
                    i2i_msg = gr.Markdown()

        # ----------------------------------------------------- Galerie
        with gr.Tab("Ma galerie", id="gal") as gal_tab:
            gal_ids = gr.State([])
            gal_sel = gr.State(None)
            with gr.Row():
                gal_refresh = gr.Button("Actualiser")
                gal_zip = gr.Button("Tout télécharger (.zip)")
            my_gal = gr.Gallery(label="Mes images (les plus récentes d'abord)", columns=5, height=560,
                                object_fit="cover", allow_preview=True)
            gal_info = gr.Markdown("Cliquez sur une image pour voir son prompt.")
            with gr.Row():
                gal_to_i2i = gr.Button("Utiliser comme référence (Image → Image)")
                gal_reuse = gr.Button("Réutiliser le prompt")
                gal_del = gr.Button("Retirer de la galerie", variant="stop")
            gal_file = gr.File(label="Archive", visible=True)

        # ----------------------------------------------------- Espace enseignant
        with gr.Tab("Enseignant", id="admin", visible=False) as admin_tab:
            adm_summary = gr.Markdown()
            adm_table = gr.Dataframe(headers=["Étudiant", "Images", "Crédits utilisés", "Crédits restants"],
                                     interactive=False)
            adm_refresh = gr.Button("Actualiser")
            with gr.Row():
                adm_quota = gr.Number(value=DEFAULT_QUOTA, precision=0, label="Quota par étudiant (crédits)")
                adm_quota_btn = gr.Button("Appliquer le quota")
            with gr.Row():
                adm_student = gr.Dropdown(label="Étudiant", choices=[])
                adm_reset_btn = gr.Button("Remettre ses crédits à zéro")
            with gr.Accordion("Templates de la classe (CSV)", open=True):
                gr.Markdown("Colonnes : `categorie`, `titre`, `prompt`. L'import **remplace** les templates de classe.")
                adm_csv = gr.File(label="Fichier CSV", file_types=[".csv"], type="filepath")
                adm_csv_btn = gr.Button("Importer les templates de classe")
            with gr.Accordion("Voir la galerie d'un étudiant", open=False):
                adm_gal_student = gr.Dropdown(label="Étudiant", choices=[])
                adm_gal = gr.Gallery(columns=5, height=480, object_fit="cover")

    # ----------------------------------------------------- événements

    def on_load(request: gr.Request):
        user = current_user(request)
        s = settings()
        return (status_line(user), gr.Dropdown(choices=template_choices(user), value=None),
                gr.Tab(visible=(user == ADMIN_USER)), s["quota"])

    demo.load(on_load, None, [status, tpl, admin_tab, adm_quota])

    def refresh_templates(request: gr.Request):
        return gr.Dropdown(choices=template_choices(current_user(request)))

    tpl.focus(refresh_templates, None, tpl)
    tpl.input(on_template, tpl, t2i_prompt)
    perso_btn.click(import_perso_templates, perso_csv, [tpl, perso_csv])

    t2i_btn.click(generate_t2i, [t2i_prompt, t2i_model, t2i_fmt, t2i_n, t2i_seed],
                  [t2i_out, t2i_msg, status], concurrency_limit=10)
    i2i_btn.click(generate_i2i, [refs, i2i_prompt, i2i_model, i2i_fmt, i2i_n],
                  [i2i_out, i2i_msg, status], concurrency_limit=10)

    gal_outputs = [my_gal, gal_ids, gal_sel, gal_info, status]
    gal_tab.select(refresh_gallery, None, gal_outputs)
    gal_refresh.click(refresh_gallery, None, gal_outputs)
    my_gal.select(select_item, gal_ids, [gal_sel, gal_info])
    gal_to_i2i.click(send_to_i2i, [gal_sel, refs], refs)
    gal_reuse.click(reuse_prompt, gal_sel, t2i_prompt)
    gal_del.click(delete_item, gal_sel, [my_gal, gal_ids, gal_sel, gal_info])
    gal_zip.click(zip_gallery, None, gal_file)

    adm_outputs = [adm_table, adm_summary, adm_student, adm_gal_student]
    admin_tab.select(admin_overview, None, adm_outputs)
    adm_refresh.click(admin_overview, None, adm_outputs)
    adm_quota_btn.click(admin_set_quota, adm_quota, adm_outputs)
    adm_reset_btn.click(admin_reset, adm_student, adm_outputs)
    adm_csv_btn.click(admin_import_templates, adm_csv, adm_csv)
    adm_gal_student.change(admin_view_gallery, adm_gal_student, adm_gal)


if __name__ == "__main__":
    demo.queue(default_concurrency_limit=10).launch(
        auth=check_auth,
        auth_message="Prénom (ou pseudo) + code de la classe",
        server_name="0.0.0.0",
        server_port=int(os.environ.get("PORT", "7860")),
        allowed_paths=[DATA_DIR],
        ssr_mode=False,
    )