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f6f8006
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Parent(s):
5754201
add: title and description generator
Browse files- requirements.txt +1 -0
- src/__init__.py +5 -0
- src/api/image_prep_api.py +17 -0
- src/components/title_des_gen.py +43 -0
requirements.txt
CHANGED
@@ -78,4 +78,5 @@ uvloop==0.19.0
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watchfiles==0.22.0
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websockets==12.0
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replicate
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-e .
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watchfiles==0.22.0
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websockets==12.0
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replicate
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+
google-generativeai
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-e .
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src/__init__.py
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"""
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project @ NTO-TCP-HF
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created @ 2024-10-28
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author @ github/ishworrsubedii
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"""
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src/api/image_prep_api.py
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@@ -17,13 +17,17 @@ from fastapi.responses import JSONResponse
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from src.components.auto_crop import crop_transparent_image
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from src.components.color_extraction import ColorExtractionRMBG
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preprocessing_router = APIRouter()
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rmbg: str = os.getenv("RMBG")
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enhancer: str = os.getenv("ENHANCER")
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color_extraction_rmbg = ColorExtractionRMBG()
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def replicate_bg(input):
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Failed to process image: {e}")
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from src.components.auto_crop import crop_transparent_image
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from src.components.color_extraction import ColorExtractionRMBG
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from src.components.title_des_gen import NecklaceProductListing
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preprocessing_router = APIRouter()
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rmbg: str = os.getenv("RMBG")
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enhancer: str = os.getenv("ENHANCER")
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prod_listing_api_key: str = os.getenv("PROD_LISTING_API_KEY")
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color_extraction_rmbg = ColorExtractionRMBG()
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product_listing_obj = NecklaceProductListing(prod_listing_api_key)
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def replicate_bg(input):
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Failed to process image: {e}")
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@preprocessing_router.post("/title_description_generator")
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async def product_title_description_generator(image: UploadFile = File(...)):
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image_bytes = await image.read()
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image = Image.open(BytesIO(image_bytes)).convert("RGB")
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try:
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result = product_listing_obj.gen_title_desc(image=image)
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return JSONResponse(content=result, status_code=200)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Failed to process image: {e}")
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src/components/title_des_gen.py
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"""
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project @ NTO-TCP-HF
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created @ 2024-10-29
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author @ github.com/ishworrsubedii
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"""
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import google.generativeai as genai
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from tempfile import NamedTemporaryFile
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class NecklaceProductListing:
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def __init__(self, api_key):
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genai.configure(api_key=api_key)
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self.model = genai.GenerativeModel(model_name="gemini-1.5-flash")
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self.prompt = """Analyze this necklace image and create an e-commerce product listing with:
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1. An SEO-friendly, compelling product title (3-8 words)
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2. A persuasive product description for online shoppers (80-120 words)
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Format your response exactly like this:
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Title: [Product Title]
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Description: [Product Description]
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For the description, include:
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- Opening hook about the piece's beauty or uniqueness
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- Key materials and specifications (metal type, gemstones, length, closure type)
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- Highlight 2-3 standout design features
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- Styling suggestions (what to wear it with, occasions)
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- Quality/craftsmanship mentions
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- One emotional benefit (how it makes the wearer feel)
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Write in a professional yet warm tone that appeals to online jewelry shoppers. Focus on benefits and value proposition."""
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def save_image_tempfile(self, pil_image):
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with NamedTemporaryFile(suffix=".png", delete=False) as temp_file:
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pil_image.save(temp_file, format="PNG")
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return temp_file.name
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def image_upload(self, image_path):
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sample_file = genai.upload_file(path=image_path, display_name="necklace_image")
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return sample_file
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def gen_title_desc(self, image):
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image_path = self.save_image_tempfile(image)
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sample_file = self.image_upload(image_path)
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response = self.model.generate_content([sample_file, self.prompt])
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return response.text
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