Concept Agent
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
"""Regenerate commercial-overview.jpg with a clear commercial carpet scene."""
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import os, sys
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try:
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from google import genai
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from google.genai import types
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except ImportError:
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os.system(f"{sys.executable} -m pip install google-genai --quiet")
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from google import genai
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from google.genai import types
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API_KEY = os.environ.get("GEMINI_API_KEY", "AIzaSyB_1p8KvaT_rdNJGPs8HKk8bKsvUlcL6Kg")
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OUT_DIR = os.path.join(os.path.dirname(os.path.dirname(__file__)), "assets", "images", "services")
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client = genai.Client(api_key=API_KEY)
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PROMPTS = [
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(
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"Wide shot of a modern commercial office building lobby with clean grey carpet throughout. "
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"Professional corporate interior, glass doors, white walls, overhead lighting. "
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"The carpet is spotless and freshly cleaned — uniform, well-maintained. "
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"No people. No machines. No equipment. Professional architectural photography, ultra-realistic."
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),
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(
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"Wide interior shot of a bright commercial building corridor with clean, dark grey commercial carpet. "
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"Modern office environment, glass partitions, professional lighting. "
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"The carpet looks freshly cleaned and spotless. "
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"No people, no equipment. Professional photography, ultra-realistic."
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),
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]
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out_path = os.path.join(OUT_DIR, "commercial-overview.jpg")
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for i, prompt in enumerate(PROMPTS):
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print(f"Attempt {i+1}...")
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try:
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resp = client.models.generate_images(
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model="imagen-4.0-generate-001",
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prompt=prompt,
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config=types.GenerateImagesConfig(
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number_of_images=1, aspect_ratio="4:3",
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output_mime_type="image/jpeg",
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safety_filter_level="block_low_and_above",
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),
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)
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if resp.generated_images:
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b = resp.generated_images[0].image.image_bytes
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with open(out_path, "wb") as f:
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f.write(b)
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print(f"Saved ({len(b)//1024}KB)")
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break
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else:
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print("No image returned")
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except Exception as e:
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print(f"Error: {e}")
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print("Done.")
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