app.py

import gradio as gr
from ocr_engine import extract_weight_from_image
from utils import get_ist_time

def process_image(image):
    try:
        print("📸 Image received:", type(image))  # Debug log

        if image is None:
            return "No image provided", "-", None, "-"

        weight, confidence = extract_weight_from_image(image)
        timestamp = get_ist_time()

        if not weight:
            return "No weight detected", timestamp, image, "-"

        log_url = f"https://your-salesforce-site.com/log-weight?weight={weight}&time={timestamp}"
        return f"{weight} g (Confidence: {confidence}%)", timestamp, image, log_url

    except Exception as e:
        print("❌ Error in process_image:", str(e))  # Debug log
        return f"Error: {str(e)}", "-", None, "-"

iface = gr.Interface(
    fn=process_image,
    inputs=gr.Image(type="pil", label="Upload or Capture Snapshot", tool="editor"),
    outputs=[
        gr.Textbox(label="Detected Weight"),
        gr.Textbox(label="Captured At (IST)"),
        gr.Image(label="Snapshot Image"),
        gr.Textbox(label="Salesforce Log URL"),
    ],
    title="⚖️ Auto Weight Logger",
    description="Upload or capture a digital scale snapshot to detect weight automatically.",
    live=True,
)

if __name__ == "__main__":
    iface.launch()