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ChandraP12330/vinm-base64

sourceHugging Faceupdated 10mo agoView on Hugging Face
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fastapi_app.py60 linesDownload Raw Back to root
1#fastapi_app.py2from fastapi import FastAPI, HTTPException3from fastapi.middleware.cors import CORSMiddleware4from pydantic import BaseModel5from llm_backend import process_shelf_image6import uvicorn7import os8 9app = FastAPI(title="Retail Shelf Analyzer API")10 11# Add CORS middleware12app.add_middleware(13    CORSMiddleware,14    allow_origins=["*"],  # Allows all origins15    allow_credentials=True,16    allow_methods=["*"],  # Allows all methods17    allow_headers=["*"],  # Allows all headers18)19 20class ImageRequest(BaseModel):21    image_base64: str22 23@app.get("/", summary="Health Check", tags=["System"])24def read_root():25    """26    Checks if the API is running and reachable.27    28    Returns:29        dict: A simple message confirming the API status.30    """31    return {"message": "Retail Shelf Analyzer API is running"}32 33@app.post("/analyze_shelf", summary="Analyze Retail Shelf Image", tags=["Shelf Analysis"])34def analyze_shelf(request: ImageRequest):35    """36    Analyzes a retail shelf image to extract product information.37 38    This endpoint accepts an image as a Base64 string, processes it using a Generative AI model,39    and returns a structured Markdown table containing:40    - **ID**: Unique identifier for each item.41    - **Product_SKU**: Identified product name or type.42    - **Shelf_ID**: Shelf location identifier.43    - **Last_Updated**: Timestamp of the analysis.44 45    If the image is unclear, it returns an error message requesting a re-upload.46    """47    try:48        # Validate Input49        if not request.image_base64:50            raise HTTPException(status_code=400, detail="Image Base64 data is required")51            52        markdown_output = process_shelf_image(request.image_base64)53        return {"markdown_output": markdown_output}54    except Exception as e:55        raise HTTPException(status_code=500, detail=str(e))56 57if __name__ == "__main__":58    port = int(os.getenv("PORT", 7860))59    uvicorn.run("fastapi_app:app", host="0.0.0.0", port=port, reload=True)60