Omair Saleh
c18dc50657
SECTION REDESIGN: - Killed standalone dashboard image (fake AI laptop, added nothing) - New gap-px grid (signature pattern 2) with border-l-2 accents (pattern 1) - Numbered anchors (01-04) as visual rhythm per brand guide - Wider container: max-w-7xl matches hero width PERSONA CHANGES: - Renamed 'Organisation' -> 'Programme Manager' - Reorder: Charity Manager, Programme Manager, Personal Fundraiser, Volunteer - Updated /for/organisations page content to match PHOTOGRAPHY (4 new images via gemini-3-pro-image-preview): - persona-charity-manager.jpg — hijabi woman at mosque office desk - persona-programme-manager.jpg — man at desk with campaign calendar - persona-fundraiser.jpg — woman on London park bench with phone - persona-volunteer.jpg — young man handing card at charity gala - All optimized: 2.7MB -> 342KB (87% reduction via sharp) - Consistent documentary candid style, 3:2 landscape, warm tones FOOTER: - 'Organisations' -> 'Programme Managers' in nav links
85 lines
4.3 KiB
Python
85 lines
4.3 KiB
Python
"""Generate 4 persona images for the landing page gap-px grid.
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All landscape 3:2, documentary candid, consistent warm tone.
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Uses gemini-3-pro-image-preview (Nano Banana Pro).
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"""
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import os, time, sys
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from google import genai
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from google.genai import types
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client = genai.Client(api_key="AIzaSyCHnesXLjPw-UgeZaQotut66bgjFdvy12E")
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OUT = "pledge-now-pay-later/public/images/landing"
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PROMPTS = {
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"persona-charity-manager.jpg": (
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"A British South Asian woman in her late 40s wearing a navy cardigan and simple hijab, "
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"sitting at a desk in a mosque community room. She is looking down at a laptop screen, focused, "
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"one hand on the trackpad. Warm tungsten overhead lights. A prayer timetable is pinned to a "
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"corkboard on the wall behind her. Stacks of folders and a mug of tea on the desk. "
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"Shot on Canon EOS R5, 50mm, f/2.0, available light. Documentary candid, not looking at camera. "
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"Warm, grounded, purposeful. 3:2 landscape aspect ratio."
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),
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"persona-programme-manager.jpg": (
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"A British Arab man in his mid-30s wearing a smart navy polo shirt, sitting alone at a desk "
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"in a modern charity office. He has a laptop open and a printed spreadsheet with highlighted rows "
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"beside it. He is writing notes in a Moleskine notebook, pen in hand, concentrating. "
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"Natural window light from the left, soft shadows. A monitor showing a campaign calendar is "
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"blurred in the background. Clean desk, professional but not corporate. "
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"Shot on Canon EOS R5, 35mm, f/1.8, available light. Documentary candid. "
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"Organised, calm authority. 3:2 landscape aspect ratio."
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),
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"persona-fundraiser.jpg": (
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"A young British Black woman in her mid-20s sitting on a bench in a London park, looking at her "
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"phone screen. She wears a casual olive utility jacket and has a tote bag beside her. "
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"Overcast British daylight, soft diffused light. Shallow depth of field — bare winter trees and "
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"a path blurred behind her. She looks focused and slightly pleased at something on the screen. "
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"Shot on Sony A7III, 85mm, f/1.4, natural light. Documentary street photography. "
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"Independent, resourceful. 3:2 landscape aspect ratio."
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),
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"persona-volunteer.jpg": (
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"A young British South Asian man in his early 20s wearing a lanyard and a plain dark polo shirt, "
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"leaning forward at a round table during a charity dinner gala. He is handing a small card "
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"to a seated older woman across the table. Warm gala tungsten lighting, white tablecloths, "
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"bokeh chandeliers in the background. Other guests are blurred but visible at adjacent tables. "
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"Shot on Canon EOS R5, 50mm, f/1.8, available light. Documentary candid event photography. "
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"Energetic, helpful. 3:2 landscape aspect ratio."
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),
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}
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def generate(filename, prompt):
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t0 = time.time()
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print(f" [GEN] {filename}...")
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try:
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resp = client.models.generate_content(
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model="gemini-3-pro-image-preview",
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contents=prompt,
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config=types.GenerateContentConfig(
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response_modalities=["TEXT", "IMAGE"],
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),
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)
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for part in resp.candidates[0].content.parts:
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if part.inline_data:
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path = os.path.join(OUT, filename)
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with open(path, "wb") as f:
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f.write(part.inline_data.data)
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sz = os.path.getsize(path) / 1024
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print(f" [OK] {filename} -- {sz:.0f}KB ({time.time()-t0:.1f}s)")
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return filename, True
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print(f" [FAIL] {filename} -- no image in response")
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return filename, False
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except Exception as e:
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print(f" [FAIL] {filename} -- {e}")
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return filename, False
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if __name__ == "__main__":
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print(f"Generating {len(PROMPTS)} persona images...")
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ok, fail = 0, 0
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# Generate 2 at a time (rate limits)
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with ThreadPoolExecutor(max_workers=2) as pool:
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futures = {pool.submit(generate, fn, p): fn for fn, p in PROMPTS.items()}
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for f in as_completed(futures):
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_, success = f.result()
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if success: ok += 1
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else: fail += 1
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print(f"\nDone: {ok} ok, {fail} failed")
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