import gradio as gr
from PIL import Image, ImageEnhance, ImageOps
import numpy as np
import easyocr
import re
from datetime import datetime
import pytz

# Load EasyOCR model (CPU only)
reader = easyocr.Reader(['en'], gpu=False)

# Image enhancement
def enhance_image(image):
    image = image.convert("L")  # Grayscale
    image = ImageOps.invert(image)
    image = ImageEnhance.Contrast(image).enhance(2.5)
    image = ImageEnhance.Sharpness(image).enhance(2.5)
    image = image.resize((image.width * 2, image.height * 2))
    return image

# Detect weight from image
def detect_weight(image):
    try:
        processed_image = enhance_image(image)
        np_image = np.array(processed_image)

        # Perform OCR
        result = reader.readtext(np_image, detail=0)
        full_text = " ".join(result)
        print("OCR Output:", full_text)  # DEBUGGING LINE

        # Match both integer and decimal
        match = re.search(r"\d{1,4}(?:\.\d{1,4})?", full_text)
        weight = match.group(0) if match else "Not detected"

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

        return f"Weight: {weight} kg\nCaptured At: {current_time} (IST)\n\nRaw OCR: {full_text}", image
    except Exception as e:
        return f"Error: {str(e)}", image

# Gradio UI
interface = gr.Interface(
    fn=detect_weight,
    inputs=gr.Image(type="pil", label="Upload or Capture Image"),
    outputs=[gr.Textbox(label="Weight Info"), gr.Image(label="Snapshot")],
    title="⚖️ Accurate Auto Weight Detector (with Decimal)",
    description="Detects weight from digital scale image using EasyOCR (no Tesseract). Shows IST timestamp."
)

interface.launch()