app.py

# =============================================================================
# Final Code for the Professional Interface (English Version)
# =============================================================================
import gradio as gr
import joblib
import re
import pandas as pd
from datetime import datetime

# --- 1. Load Model and Knowledge Base ---
try:
    model = joblib.load('halal_classifier_model.pkl')
except FileNotFoundError:
    print("Error: 'halal_classifier_model.pkl' not found.")
    model = None

# --- Use your complete knowledge base here ---
comprehensive_ingredients_db = {
    #==========================================================================
    # القسم الأول: مكونات محرمة بشكل قاطع (Haram)
    #==========================================================================
    'pork': {'status': 'Haram', 'reason': 'Pork is explicitly forbidden in the Quran.'},
    'bacon': {'status': 'Haram', 'reason': 'A type of cured pork.'},
    'ham': {'status': 'Haram', 'reason': 'Meat from the thigh of a pig.'},
    'lard': {'status': 'Haram', 'reason': 'Fat from the abdomen of a pig.'},
    'swine': {'status': 'Haram', 'reason': 'Another name for a pig.'},
    'hog': {'status': 'Haram', 'reason': 'Another name for a pig.'},
    'boar': {'status': 'Haram', 'reason': 'A wild pig.'},
    'porcine': {'status': 'Haram', 'reason': 'Derived from pigs.'},
    'speck': {'status': 'Haram', 'reason': 'A type of cured pork belly.'},
    'schwein': {'status': 'Haram', 'reason': "German word for 'pig'."},
    'prosciutto': {'status': 'Haram', 'reason': 'Italian dry-cured ham.'},
    'alcohol': {'status': 'Haram', 'reason': 'All intoxicants are forbidden.'},
    'ethanol': {'status': 'Haram', 'reason': 'The chemical name for intoxicating alcohol.'},
    'ethyl alcohol': {'status': 'Haram', 'reason': 'The chemical name for intoxicating alcohol.'},
    'wine': {'status': 'Haram', 'reason': 'Wine is explicitly forbidden.'},
    'beer': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'liquor': {'status': 'Haram', 'reason': 'A general term for distilled alcoholic drinks.'},
    'liqueur': {'status': 'Haram', 'reason': 'A sweetened alcoholic beverage.'},
    'brandy': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'cognac': {'status': 'Haram', 'reason': 'A type of brandy, which is an intoxicant.'},
    'gin': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'rum': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'vodka': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'whisky': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'whiskey': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'champagne': {'status': 'Haram', 'reason': 'A sparkling wine, which is an intoxicant.'},
    'sake': {'status': 'Haram', 'reason': 'Japanese rice wine, which is an intoxicant.'},
    'vermouth': {'status': 'Haram', 'reason': 'A fortified and flavored wine, which is an intoxicant.'},
    'sherry': {'status': 'Haram', 'reason': 'A type of fortified wine, which is an intoxicant.'},
    'port': {'status': 'Haram', 'reason': 'A type of fortified wine, which is an intoxicant.'},
    'absinthe': {'status': 'Haram', 'reason': 'An intoxicating alcoholic beverage.'},
    'blood': {'status': 'Haram', 'reason': 'Flowing blood is explicitly forbidden.'},
    'carrion': {'status': 'Haram', 'reason': 'Meat from an animal that was not slaughtered according to Islamic law.'},
    'carmine': {'status': 'Haram', 'reason': 'A red pigment (E120) derived from insects, considered forbidden by the majority of scholars.'},
    'cochineal': {'status': 'Haram', 'reason': 'Another name for carmine dye (E120) from insects.'},
    'e120': {'status': 'Haram', 'reason': 'The E-number for carmine dye from insects.'},
    'e-120': {'status': 'Haram', 'reason': 'The E-number for carmine dye from insects.'},
    'ci 75470': {'status': 'Haram', 'reason': 'The international color index for carmine dye from insects.'},
    #==========================================================================
    # القسم الثاني: مكونات مشبوهة (Doubtful / Mashbooh)
    #==========================================================================
    'gelatin': {'status': 'Doubtful (leaning towards Haram)', 'reason': 'Its source is mostly animal (pork or not slaughtered correctly). Requires a reliable Halal certificate.'},
    'e441': {'status': 'Doubtful (leaning towards Haram)', 'reason': 'Old E-number for Gelatin. Its source is often animal-based (pork or not slaughtered correctly).'},
    'e-441': {'status': 'Doubtful (leaning towards Haram)', 'reason': 'Old E-number for Gelatin. Its source is often animal-based (pork or not slaughtered correctly).'},
    'animal fat': {'status': 'Doubtful', 'reason': 'Animal fat. Must be from a Halal-slaughtered animal.'},
    'animal shortening': {'status': 'Doubtful', 'reason': 'Animal shortening. Must be from a Halal-slaughtered animal.'},
    'fat': {'status': 'Doubtful', 'reason': 'A general term for fat. If the source is not specified as vegetable, it is doubtful.'},
    'tallow': {'status': 'Doubtful', 'reason': 'Animal fat. Must be confirmed to be from a Halal source.'},
    'shortening': {'status': 'Doubtful', 'reason': 'An industrial fat that may contain animal fats. The source must be verified.'},
    'margarine': {'status': 'Doubtful', 'reason': 'May contain animal fats or doubtful emulsifiers.'},
    'glycerin': {'status': 'Doubtful', 'reason': 'Can be of animal or vegetable origin. The vegetable source must be confirmed.'},
    'glycerine': {'status': 'Doubtful', 'reason': 'Another name for Glycerin; can be of animal or vegetable origin.'},
    'glycerol': {'status': 'Doubtful', 'reason': 'Another name for Glycerin (E422); can be of animal or vegetable origin.'},
    'e422': {'status': 'Doubtful', 'reason': 'E-number for Glycerin/Glycerol. Can be of animal or vegetable origin.'},
    'e-422': {'status': 'Doubtful', 'reason': 'E-number for Glycerin/Glycerol. Can be of animal or vegetable origin.'},
    'mono and diglycerides': {'status': 'Doubtful', 'reason': 'Emulsifiers (E471) that can be from animal or vegetable fat. Must be verified.'},
    'emulsifier': {'status': 'Doubtful', 'reason': 'A general term for emulsifiers. Many are of doubtful (animal) origin.'},
    'whey': {'status': 'Doubtful', 'reason': 'Its ruling depends on the rennet used in cheese making.'},
    'rennet': {'status': 'Doubtful', 'reason': 'Cheese rennet, which can be from an animal not slaughtered according to Islamic law.'},
    'pepsin': {'status': 'Doubtful', 'reason': 'An enzyme often extracted from pig stomachs. Must be verified to be from a plant or microbial source.'},
}

FEEDBACK_FILE = 'feedback_log_en.csv'

# --- 2. Define Backend Functions (Now in English) ---
def predict_and_explain(text_input):
    if not model or not text_input.strip():
        return "", "", gr.update(visible=False)

    prediction = model.predict([text_input])[0]
    
    # Translate prediction for consistency if your model outputs Arabic
    status_map = {
        "حرام": "Haram",
        "حلال": "Halal",
        "مشتبه فيه": "Doubtful",
        "مشتبه فيه (يميل للتحريم)": "Doubtful (leaning towards Haram)"
    }
    prediction_en = status_map.get(prediction, "Doubtful")
    
    reason = "No direct reason found in the knowledge base."
    
    if prediction_en != 'Halal':
        for ingredient, details in comprehensive_ingredients_db.items():
            if re.search(r'\b' + re.escape(ingredient) + r'\b', text_input, re.IGNORECASE):
                reason = details.get('reason', "Reason not specified.") # Use .get for safety
                break
    else:
        reason = "No clear forbidden or doubtful ingredients were found based on the current database."
    
    return prediction_en, reason, gr.update(visible=True)

def handle_feedback(original_text, model_prediction, user_correction, user_comment):
    try:
        feedback_data = pd.DataFrame({
            'timestamp': [datetime.now()],
            'original_text': [original_text],
            'model_prediction': [model_prediction],
            'user_correction': [user_correction],
            'user_comment': [user_comment]
        })
        try:
            pd.read_csv(FEEDBACK_FILE)
            write_header = False
        except FileNotFoundError:
            write_header = True
            
        feedback_data.to_csv(FEEDBACK_FILE, mode='a', header=write_header, index=False, encoding='utf-8-sig')
        return "✅ Thank you for your contribution! Your feedback has been saved."
    except Exception as e:
        return f"❌ An error occurred while saving feedback: {e}"

# --- 3. Build the Themed Interface with gr.Blocks ---
theme = gr.themes.Soft(
    primary_hue="blue",
    secondary_hue="blue",
).set(
    button_primary_background_fill='*primary_500',
    button_primary_background_fill_hover='*primary_600',
)

with gr.Blocks(theme=theme) as iface:
    
    gr.Markdown(
        """
        <div style="text-align: center; font-family: 'Arial', sans-serif; padding-bottom: 15px;">
            <h1 style="color: #2c3e50;">Yaqeen</h1>
            <p style="font-size: 1.2em; color: #34495e;">
                An intelligent system to classify food products by analyzing their ingredients.
            </p>
        </div>
        """
    )
    
    with gr.Row():
        with gr.Column(scale=2):
            text_input = gr.Textbox(lines=8, label="Enter Product Name & Ingredients", placeholder="e.g., Milk Chocolate, Ingredients: Sugar, cocoa butter, milk powder, soy lecithin E322, vanilla flavor...")
            submit_btn = gr.Button("🔍 Analyze Product", variant="primary")
        
        with gr.Column(scale=3):
            status_output = gr.Textbox(label="Predicted Status", interactive=False)
            reason_output = gr.Textbox(label="Potential Reason", interactive=False)

    with gr.Group(visible=False) as feedback_box:
        gr.Markdown("---")
        gr.Markdown("<h3 style='text-align:center;'>Was this prediction correct?</h3>")
        with gr.Row():
            correction_dropdown = gr.Dropdown(
                choices=["Halal", "Haram", "Doubtful", "Doubtful (leaning towards Haram)"],
                label="If not, what is the correct status?"
            )
            comment_box = gr.Textbox(label="Additional Comments (Optional)", placeholder="e.g., This product contains Halal beef gelatin...")
        
        feedback_btn = gr.Button("📩 Submit Feedback")
        feedback_status = gr.Textbox(label="Submission Status", interactive=False)

    gr.Examples(
        examples=[
            ["Prosciutto crudo, E252"],
            ["Cheddar cheese, water, salt, rennet, whey"],
            ["Gummy candy with sugar, corn syrup, gelatin, citric acid, carmine color"],
        ],
        inputs=text_input,
        label="Examples"
    )
    
    gr.Markdown(
        """
        <hr>
        <div style='text-align: center; font-size: 0.9em; color: #7f8c8d;'>
            <p>Developed by Engineers</p>
            <p><strong>Ali Al-Qawas &nbsp;|&nbsp; Tareq Al-Omari &nbsp;|&nbsp; Abdulrahman Sinan</strong></p>
        </div>
        """
    )

    # --- Link Functions to Components ---
    submit_btn.click(
        fn=predict_and_explain,
        inputs=[text_input],
        outputs=[status_output, reason_output, feedback_box]
    )
    
    feedback_btn.click(
        fn=handle_feedback,
        inputs=[text_input, status_output, correction_dropdown, comment_box],
        outputs=[feedback_status]
    )

# --- 4. Launch the Interface ---
iface.launch()