app.py

import gradio as gr
from datetime import datetime
import pytz
from ocr_engine import extract_weight_from_image
from PIL import Image
import io
import base64
from simple_salesforce import Salesforce
import logging

# Set up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Salesforce configuration (replace with your credentials)
SF_USERNAME = "your_salesforce_username"
SF_PASSWORD = "your_salesforce_password"
SF_SECURITY_TOKEN = "your_salesforce_security_token"
SF_DOMAIN = "login"  # or "test" for sandbox

def connect_to_salesforce():
    try:
        sf = Salesforce(username=SF_USERNAME, password=SF_PASSWORD, security_token=SF_SECURITY_TOKEN, domain=SF_DOMAIN)
        logging.info("Connected to Salesforce successfully")
        return sf
    except Exception as e:
        logging.error(f"Salesforce connection failed: {str(e)}")
        return None

def resize_image(img, max_size_mb=5):
    """Resize image to ensure size < 5MB while preserving quality."""
    try:
        img_bytes = io.BytesIO()
        img.save(img_bytes, format="PNG")
        size_mb = len(img_bytes.getvalue()) / (1024 * 1024)
        if size_mb <= max_size_mb:
            return img, img_bytes.getvalue()
        
        # Resize proportionally
        scale = 0.9
        while size_mb > max_size_mb:
            w, h = img.size
            img = img.resize((int(w * scale), int(h * scale)), Image.Resampling.LANCZOS)
            img_bytes = io.BytesIO()
            img.save(img_bytes, format="PNG")
            size_mb = len(img_bytes.getvalue()) / (1024 * 1024)
            scale *= 0.9
        logging.info(f"Resized image to {size_mb:.2f} MB")
        return img, img_bytes.getvalue()
    except Exception as e:
        logging.error(f"Image resizing failed: {str(e)}")
        return img, None

def process_image(img):
    if img is None:
        return "No image uploaded", None, None, None, gr.update(visible=False), gr.update(visible=False)
    
    ist_time = datetime.now(pytz.timezone("Asia/Kolkata")).strftime("%d-%m-%Y %I:%M:%S %p")
    img, img_bytes = resize_image(img)
    weight, confidence = extract_weight_from_image(img)
    
    if weight == "Not detected" or confidence < 70:
        return f"{weight} (Confidence: {confidence}%)", ist_time, img, None, gr.update(visible=True), gr.update(visible=False)
    
    # Encode image for preview
    img_buffer = io.BytesIO(img_bytes)
    img_base64 = base64.b64encode(img_buffer.getvalue()).decode()
    return f"{weight} kg (Confidence: {confidence}%)", ist_time, img, img_base64, gr.update(visible=True), gr.update(visible=True)

def save_to_salesforce(weight_text, img_base64):
    try:
        sf = connect_to_salesforce()
        if sf is None:
            return "Failed to connect to Salesforce"
        
        # Extract weight from text (remove "kg" and confidence)
        weight = float(weight_text.split(" ")[0])
        ist_time = datetime.now(pytz.timezone("Asia/Kolkata")).strftime("%Y-%m-%d %H:%M:%S")
        
        # Create custom object record (adjust object and fields as needed)
        record = {
            "Name": f"Weight_Log_{ist_time}",
            "Weight__c": weight,
            "Timestamp__c": ist_time,
            "Image__c": img_base64
        }
        result = sf.Weight_Log__c.create(record)
        logging.info(f"Salesforce record created: {result}")
        return "Successfully saved to Salesforce"
    except Exception as e:
        logging.error(f"Salesforce save failed: {str(e)}")
        return f"Failed to save to Salesforce: {str(e)}"

with gr.Blocks(title="⚖️ Auto Weight Logger") as demo:
    gr.Markdown("## ⚖️ Auto Weight Logger")
    gr.Markdown("📷 Upload or capture an image of a digital weight scale (max 5MB).")

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

    with gr.Row():
        timestamp = gr.Textbox(label="🕒 Captured At (IST)")
        snapshot = gr.Image(label="📸 Snapshot Image")

    with gr.Row():
        confirm_button = gr.Button("✅ Confirm and Save to Salesforce", visible=False)
        status = gr.Textbox(label="Save Status", visible=False)

    submit = gr.Button("🔍 Detect Weight")
    submit.click(
        fn=process_image,
        inputs=image_input,
        outputs=[output_weight, timestamp, snapshot, gr.State(), confirm_button, status]
    )
    confirm_button.click(
        fn=save_to_salesforce,
        inputs=[output_weight, gr.State()],
        outputs=status
    )

    gr.Markdown("""
    ### Instructions
    - Upload a clear, well-lit image of a digital weight scale display.
    - Ensure the image is < 5MB (automatically resized if larger).
    - Review the detected weight and click 'Confirm and Save to Salesforce' to log the data.
    - The application works on both desktop and mobile browsers.
    """)

demo.launch()