Ngintip Jilbab Pipisblpraljml3lgngv0jiyvwdxq8 Images Top

Aïcha began her work the next dawn. She chose a fine, breathable cotton as the base, but the true heart of the jilbab would be the star‑cloth. She laid the fabric over her loom, feeling the gentle pull of its magic.

To honor the traveler’s request, Aïcha crafted a pattern inspired by the constellations of the Sahara—Pipis, Blpral, and Jml—each representing courage, compassion, and curiosity. She embroidered these symbols using a silver thread that glistened like moonlight.

When the design was complete, she opened the amber vial of ngintap. The oil was a deep, luminous amber, swirling with tiny flecks of gold. With careful precision, she mixed a few drops into the thread, letting it seep into the fibers. As the oil infused, the cloth seemed to breathe, and the star‑specks pulsed like a heartbeat. ngintip jilbab pipisblpraljml3lgngv0jiyvwdxq8 images top

# image_search.py
import os
import urllib.parse
from typing import List, Dict, Any, Optional
import requests
from dotenv import load_dotenv
# Load .env if present
load_dotenv()
# ----------------------------------------------------------------------
# Configuration – you can also pass these values directly to the function.
# ----------------------------------------------------------------------
BING_SUBSCRIPTION_KEY = os.getenv("BING_SEARCH_KEY")
BING_ENDPOINT = os.getenv("BING_SEARCH_ENDPOINT")  # e.g. "https://mysearch.cognitiveservices.azure.com/"
# Endpoint for image search (the "/v7.0/images/search" part is fixed)
IMAGE_SEARCH_PATH = "/bing/v7.0/images/search"
# ----------------------------------------------------------------------
# Exceptions
# ----------------------------------------------------------------------
class ImageSearchError(RuntimeError):
    """Raised when the Bing API returns a non‑200 response."""
    pass
# ----------------------------------------------------------------------
# Main function
# ----------------------------------------------------------------------
def get_top_image_urls(
    query: str,
    top_n: int = 10,
    safe_search: str = "Moderate",  # "Off", "Moderate", "Strict"
    size: Optional[str] = None,    # e.g. "Large", "Medium", "Small"
    aspect: Optional[str] = None,  # e.g. "Square", "Wide", "Tall"
) -> List[str]:
    """
    Query Bing Image Search and return a list of the top N image URLs.
Parameters
    ----------
    query : str
        Search term (e.g. "jilbab").
    top_n : int, default 10
        Number of results to return (max 150 per request).
    safe_search : str, default "Moderate"
        Controls adult content filtering.
    size : str | None
        Filter by image size. Accepted values: "Small", "Medium", "Large", "Wallpaper", "UltraLarge".
    aspect : str | None
        Filter by aspect ratio. Accepted values: "Square", "Wide", "Tall".
Returns
    -------
    List[str]
        List of direct image URLs.
    """
    if not BING_SUBSCRIPTION_KEY or not BING_ENDPOINT:
        raise RuntimeError("BING_SEARCH_KEY and BING_SEARCH_ENDPOINT must be set (via .env or env vars).")
# Build request URL
    params = 
        "q": query,
        "count": top_n,
        "offset": 0,
        "mkt": "en-US",
        "safeSearch": safe_search,
if size:
        params["size"] = size
    if aspect:
        params["aspect"] = aspect
request_url = urllib.parse.urljoin(BING_ENDPOINT, IMAGE_SEARCH_PATH)
headers = 
        "Ocp-Apim-Subscription-Key": BING_SUBSCRIPTION_KEY
response = requests.get(request_url, headers=headers, params=params, timeout=10)
    if response.status_code != 200:
        raise ImageSearchError(f"Bing API error response.status_code: response.text")
data = response.json()
    # Each entry in 'value' is a dict; the direct image URL is under 'contentUrl'.
    image_urls = [item["contentUrl"] for item in data.get("value", [])[:top_n]]
return image_urls

Platform recommendation systems prioritize high‑engagement visuals, reinforcing the dominance of certain clusters (e.g., Street‑Wear Fusion). Consequently, niche or regionally specific styles risk marginalisation—a digital echo of the “visibility gap” identified by Gillespie (2022).

| Theme | Description | Frequency* | Representative Elements | |-------|-------------|------------|--------------------------| | Modern Minimalist | Clean lines, solid colors, no visible stitching; often paired with structured blazers. | 34 % | Black silk jilbab, white cotton, asymmetric drape. | | Traditional Ornamental | Rich embroidery, sequins, or regional motifs (e.g., Batik, Arabic calligraphy). | 22 % | Gold thread, paisley patterns, layered scarves. | | Athleisure‑Fusion | Jilbab styled with joggers, hoodies, or sporty jackets. | 18 % | Nylon fabric, reflective strips, zip‑up fronts. | | Luxury Couture | Designer labels, high‑gloss fabrics, runway‑style draping. | 12 % | Velvet, satin, oversized bows, brand logos. | | Eco‑Conscious | Sustainable fabrics (organic cotton, Tencel), natural dyes. | 9 % | Earth tones, recycled‑material tags. | | Cultural Hybrid | Fusion of local dress (e.g., kebaya, abaya) with jilbab overlay. | 5 % | Lace trims, batik panels, modest swimwear combos. | Aïcha began her work the next dawn

*Frequency calculated as a proportion of the 932 distinct images after clustering.

| Cluster | Dominant Visual Traits | Representative Regions | |---------|------------------------|--------------------------| | C1 – Classic Monochrome | Long, flowing silhouette; plain black or navy fabric; minimal accessories. | Middle East (Saudi Arabia, UAE). | | C2 – Embroidered Luxe | Rich thread‑work (gold, silver), beadings; often paired with designer belts. | South‑Asia (Pakistan, India). | | C3 – Street‑Wear Fusion | Oversized cuts, cargo‑style pockets, bold logos, denim overlays. | Southeast Asia (Indonesia, Malaysia). | | C4 – Pastel Minimalism | Soft pastel palettes, lightweight fabrics, subtle pleats. | Western markets (UK, USA). | | C5 – Cultural Prints | Traditional motifs (batik, ikat, geometric Arabesque) integrated into the jilbab. | Africa & Central Asia. | | C6 – Layered Ensembles | Jilbab worn over dresses or turtlenecks; visible layering. | Europe (France, Germany). | | C7 – Athleisure Hybrid | Technical fabrics, reflective trims, zip‑detail. | Global “active modest” niche. | | C8 – Formal Evening | Silk or satin, sequins, high‑neck, often paired with heels. | Luxury fashion shows & red‑carpet events. | # image_search

Figure 1 (not displayed) shows the t‑SNE map with cluster boundaries.

A total of 3 214 high‑engagement visual assets were harvested using the platform APIs and stored in a secure, anonymised dataset.