app.py

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

def process_image(image):
    if image is None:
        return "No image provided", "", None
    try:
        weight = extract_weight(image)
        ist = pytz.timezone('Asia/Kolkata')
        timestamp = datetime.now(ist).strftime("%Y-%m-%d %H:%M:%S IST")
        return weight, timestamp, image
    except Exception as e:
        return f"Error: {str(e)}", "", None

with gr.Blocks(css=".gr-button {background-color: #2e7d32 !important; color: white !important;}") as demo:
    gr.Markdown("""
    <h1 style='text-align: center; color: #2e7d32;'>📷 Auto Weight Logger</h1>
    <p style='text-align: center;'>Detect weights (kg or grams) from digital balance display using AI OCR.</p>
    <hr style='border: 1px solid #ddd;'/>
    """)

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

    detect_btn = gr.Button("🚀 Detect Weight")

    with gr.Row():
        weight_out = gr.Textbox(label="📦 Detected Weight", placeholder="e.g., 72.4 kg", show_copy_button=True)
        time_out = gr.Textbox(label="🕒 Captured At (IST)", placeholder="e.g., 2025-06-30 14:32:10")

    snapshot = gr.Image(label="📸 Snapshot Preview")

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

    gr.Markdown("""
    <br><p style='text-align: center; color: gray;'>Developed by Shalu • Powered by Hugging Face OCR 🚀</p>
    """)

# 🚨 REQUIRED for Hugging Face to recognize the app
demo.launch()