app.py

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

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

    ist_time = datetime.now(pytz.timezone("Asia/Kolkata")).strftime("%d-%m-%Y %I:%M:%S %p")
    weight, confidence = extract_weight_from_image(img)
    return f"{weight} g (Confidence: {confidence}%)", ist_time, img

with gr.Blocks(title="⚖️ Auto Weight Logger") as demo:
    gr.Markdown("## ⚖️ Auto Weight Logger\nUpload or capture an image of a digital scale to auto-detect the weight.")

    with gr.Row():
        image_input = gr.Image(type="pil", label="📷 Upload or Capture Image")
        submit = gr.Button("🔍 Detect Weight")

    with gr.Row():
        output_weight = gr.Textbox(label="⚖️ Detected Weight")
        timestamp = gr.Textbox(label="🕒 Captured At (IST)")

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

    submit.click(process_image, inputs=image_input, outputs=[output_weight, timestamp, snapshot])

demo.launch()