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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, "No OCR output"

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

with gr.Blocks(title="βš–οΈ Auto Weight Logger") as demo:
    gr.Markdown("## βš–οΈ Auto Weight Logger")
    gr.Markdown("πŸ“· **Upload or capture an image of a digital weight scale.** The app will auto-detect the weight in kilograms using OCR.")

    with gr.Row():
        image_input = gr.Image(type="pil", label="Upload / Capture Image")
        output_weight = gr.Textbox(label="βš–οΈ Detected Weight (in kg)")

    with gr.Row():
        timestamp = gr.Textbox(label="πŸ•’ Captured At (IST)")
        snapshot = gr.Image(label="πŸ“Έ Snapshot Image")

    with gr.Row():
        debug_output = gr.Textbox(label="πŸͺ΅ Raw OCR Output")

    submit = gr.Button("πŸ” Detect Weight")
    submit.click(process_image, inputs=image_input, outputs=[output_weight, timestamp, snapshot, debug_output])

demo.launch()