app.py

import gradio as gr
from bing_image_downloader import downloader
import os
import requests
from bs4 import BeautifulSoup
from urllib.parse import quote
import urllib.request
import re
import time

# Configuration des headers HTTP
HEADERS = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.5'
}

# Téléchargement via Bing
def download_bing_images(search_query, limit, adult_filter_off):
    try:
        # Ici, adult_filter_off est True si le mode sécurisé est désactivé ("Off")
        downloader.download(
            search_query,
            limit=limit,
            adult_filter_off=adult_filter_off,
            force_replace=False,
            timeout=60,
            filter_type='photo'
        )
        output_dir = os.path.join('dataset', search_query)
        return get_image_paths(output_dir)
    except Exception as e:
        print(f"Erreur Bing : {str(e)}")
        return []

# Téléchargement via Google
def download_google_images(search_query, limit):
    try:
        output_dir = os.path.join('dataset', f'google_{search_query}')
        os.makedirs(output_dir, exist_ok=True)
        
        url = f"https://www.google.com/search?q={quote(search_query)}&tbm=isch"
        response = requests.get(url, headers=HEADERS)
        response.raise_for_status()
        
        soup = BeautifulSoup(response.text, 'html.parser')
        scripts = soup.find_all('script')
        
        image_urls = []
        pattern = r'\[\"(https?://[^\]\"]*\.(?:jpg|jpeg|png))\"'
        
        for script in scripts:
            if 'AF_initDataCallback' in script.text:
                matches = re.findall(pattern, script.text)
                image_urls.extend(matches)
        
        image_urls = list(set(image_urls))[:limit]
        return download_and_save(image_urls, output_dir)
    
    except Exception as e:
        print(f"Erreur Google : {str(e)}")
        return []

# Téléchargement et sauvegarde des images depuis une liste d'URLs
def download_and_save(urls, output_dir):
    saved_paths = []
    for idx, url in enumerate(urls):
        try:
            filename = f"image_{idx+1}_{int(time.time())}.jpg"
            full_path = os.path.join(output_dir, filename)
            req = urllib.request.Request(url, headers=HEADERS)
            with urllib.request.urlopen(req, timeout=10) as response:
                with open(full_path, 'wb') as f:
                    f.write(response.read())
            saved_paths.append(full_path)
        except Exception as e:
            print(f"Erreur téléchargement {url} : {str(e)}")
    return saved_paths

# Récupérer les chemins des images dans un dossier
def get_image_paths(directory):
    if os.path.exists(directory):
        return [os.path.join(directory, f) for f in os.listdir(directory)
                if f.lower().endswith(('png', 'jpg', 'jpeg'))]
    return []

# Fonction principale appelée par l'interface Gradio
def download_handler(source, query, limit, safe_mode):
    limit = max(1, min(limit, 100))
    try:
        if source == "Bing":
            # Si safe_mode est "Off", le filtre est désactivé (adult_filter_off=True)
            image_paths = download_bing_images(query, limit, safe_mode == "Off")
        elif source == "Google":
            image_paths = download_google_images(query, limit)
        else:
            image_paths = []
        
        status_msg = f"{len(image_paths)} image(s) téléchargée(s)." if image_paths else "Aucune image téléchargée."
        return image_paths, status_msg
    except Exception as e:
        print(f"Erreur globale : {str(e)}")
        return [], f"Erreur: {str(e)}"

# Création de l'interface Gradio avec Blocks
with gr.Blocks(theme=gr.themes.Soft(), title="Image Downloader") as app:
    gr.Markdown("# 📸 Téléchargeur d'Images Multi-Sources")
    gr.Markdown("Téléchargez des images depuis Bing ou Google (max 100)")
    
    with gr.Row():
        source = gr.Radio(["Bing", "Google"], label="Source", value="Bing")
        query = gr.Textbox(label="Recherche", placeholder="Entrez votre recherche...")
        limit = gr.Slider(1, 100, value=20, step=1, label="Nombre d'images")
        safe_mode = gr.Radio(["On", "Off"], label="Filtre de sécurité (Bing)", value="On")
    
    submit_btn = gr.Button("🚀 Lancer le téléchargement", variant="primary")
    
    gallery = gr.Gallery(label="Résultats", columns=5, object_fit="contain", height="auto")
    status = gr.Textbox(label="Statut", interactive=False)

    submit_btn.click(
        fn=download_handler,
        inputs=[source, query, limit, safe_mode],
        outputs=[gallery, status],
        api_name="download"
    )
    
    gr.Examples(
        examples=[
            ["Bing", "chatons mignons", 10, "On"],
            ["Google", "paysages montagneux", 15, "On"]
        ],
        inputs=[source, query, limit, safe_mode]
    )

if __name__ == "__main__":
    # Récupère le port depuis la variable d'environnement (nécessaire pour Hugging Face Spaces)
    port = int(os.environ.get("PORT", 7860))
    app.launch(server_name="0.0.0.0", server_port=port, show_error=True)