app.py

import gradio as gr
from PIL import Image
from datetime import datetime
import pytz
from ocr_engine import extract_weight_from_image

def process_image(img):
    # Convert image to RGB in case it's RGBA or grayscale
    img = img.convert("RGB")

    # Get IST timestamp
    ist = datetime.now(pytz.timezone("Asia/Kolkata")).strftime("%Y-%m-%d %H:%M:%S")

    # Run OCR
    weight, confidence = extract_weight_from_image(img)

    # Format output
    result = f"📅 Captured At (IST): {ist}\n"
    if confidence > 0:
        result += f"⚖️ Detected Weight: **{weight}**\n"
        result += f"✅ Confidence: `{confidence:.2f}`"
    else:
        result += "❌ No weight detected. Try a clearer image."

    return img, result

# Gradio UI
demo = gr.Interface(
    fn=process_image,
    inputs=gr.Image(type="pil", label="Upload or Capture Image"),
    outputs=[
        gr.Image(type="pil", label="Snapshot"),
        gr.Markdown(label="Weight Result")
    ],
    title="⚖️ Auto Weight Logger (PaddleOCR)",
    description="Upload or capture an image of a weighing scale. This app uses PaddleOCR to detect the weight value.",
    allow_flagging="never"
)

if __name__ == "__main__":
    demo.launch()