app.py

import gradio as gr
from PIL import Image
from datetime import datetime
from ocr_engine import extract_weight

def process_image(image):
    if image is None:
        return "No image provided", "", None

    try:
        weight = extract_weight(image)
        timestamp = datetime.now().astimezone().strftime("%Y-%m-%d %H:%M:%S %Z")
        return f"{weight} grams", timestamp, image
    except Exception as e:
        return f"Error: {str(e)}", "", None

with gr.Blocks() as demo:
    gr.Markdown("## 📷 Auto Weight Logger — Hugging Face OCR Edition")
    gr.Markdown("Upload a digital scale image. Detects weight using a transformer-based OCR model.")

    image_input = gr.Image(type="pil", label="📁 Upload or Capture Image")

    detect_btn = gr.Button("🚀 Detect Weight")
    weight_out = gr.Textbox(label="Detected Weight")
    time_out = gr.Textbox(label="Captured At (IST)")
    snapshot = gr.Image(label="Snapshot")

    detect_btn.click(fn=process_image, inputs=image_input, outputs=[weight_out, time_out, snapshot])

demo.launch()