roufgh2

from flask import Flask, render_template, request, flash
import os
from werkzeug.utils import secure_filename
from keras.models import load_model
from keras.layers import DepthwiseConv2D
from PIL import Image, ImageOps
import numpy as np

app = Flask(__name__)
app.secret_key = 'secret-key'

UPLOAD_FOLDER = os.path.abspath('uploads/')
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
os.makedirs(UPLOAD_FOLDER, exist_ok=True)
FACILITIES = [
    {
        "name": "Audi",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\audi model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\audi model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Audi.pdf"
    },
    {
        "name": "Canteen",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\canteen model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\canteen model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Canteen.pdf"
    },
    {
        "name": "Classroom",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\classroom model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\classroom model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Classroom.pdf"
    },
    {
        "name": "Computer Lab",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\computer lab model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\computer lab model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Computer Lab.pdf"
    },
    {
        "name": "Conference Hall",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\conference hall model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\conference hall model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Conference Hall.pdf"
    },
    {
        "name": "Drawing Halls",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\drawing halls model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\drawing halls model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Drawing Halls.pdf"
    },
    {
        "name": "Faculty Cabin",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\faculty cabin model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\faculty cabin model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Faculty Cabin.pdf"
    },
    {
        "name": "Fire Extinguishers",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\fire extinguishers model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\fire extinguishers model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Fire Extinguishers.pdf"
    },
    {
        "name": "Generator",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\generator model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\generator model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Generator.pdf"
    },
    {
        "name": "Grounds",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\grounds model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\grounds model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Grounds.pdf"
    },
    {
        "name": "Library",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\library model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\library model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Library.pdf"
    },
    {
        "name": "Medical Room",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\medical room model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\medical room model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Medical Room.pdf"
    },
    {
        "name": "Parking",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\parking model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\parking model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Parking.pdf"
    },
    {
        "name": "Pothole Management",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\pothole management model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\pothole management model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Pothole Management.pdf"
    },
    {
        "name": "Restroom",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\restroom model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\restroom model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Restroom.pdf"
    },
    {
        "name": "Seminar Hall",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\seminar hall model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\seminar hall model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Seminar Hall.pdf"
    },
    {
        "name": "Server Room",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\server room model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\server room model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Server Room.pdf"
    },
    {
        "name": "Sports Equipment",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\sports equipment model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\sports equipment model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Sports Equipment.pdf"
    },
    {
        "name": "TPO (Training and Placement Office)",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\tpo model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\tpo model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\TPO (Training and Placement Office).pdf"
    },
    {
        "name": "Workshop",
        "type": "image_processing",
        "model": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\workshop model\keras_model.h5",
        "labels": r"C:\Users\Pranit\PycharmProjects\infrastructure\MODELS\workshop model\labels.txt",
        "pdf": r"C:\Users\Pranit\PycharmProjects\infrastructure\pdfs\Workshop.pdf"
    }
]

def calculate_required_facilities(num_students, num_divisions, num_courses, course_duration):
    # 1. Classrooms Required
    classrooms_required = num_divisions * course_duration * 0.5

    # 2. Total Labs Required
    base_labs = 2 * num_courses * course_duration
    if num_students > 180 * num_courses:
        extra_students_per_course = (num_students - (180 * num_courses)) // 50
        base_labs += extra_students_per_course
    additional_labs = (num_students - 600) // 150 if num_students > 600 else 0
    total_labs = base_labs + additional_labs

    # 3. Workshops Required
    workshops_required = 1 if num_students <= 600 else 1 + (num_students - 600) // 600

    # 4. CAD Centres Required
    cad_centres_required = 1 if num_students <= 600 else 1 + (num_students - 600) // 600

    # 5. Computer Centres Required
    computer_centres_required = 1 if num_students <= 600 else 1 + (num_students - 600) // 600

    # 6. Seminar Halls Required
    seminar_halls_required = 1

    # 7. Library Required
    library_required = 1

    # 8. Language Labs Required
    language_labs_required = 1

    # 9. PCs/Laptops Required
    pcs_laptops_required = max(20, num_students // 10)

    # 10. Additional Facilities (Single Requirement)
    auditorium_required = 1
    faculty_cabins_required = 1
    medical_room_required = 1
    sports_facilities_required = 1
    canteen_required = 1
    generator_required = 1
    bicycle_stand_required = 1
    bus_transport_required = 1

    # 11. Other Derived Formulas
    dispensers_required = 1
    fire_extinguishers_required = 1
    grounds_required = 1
    parking_areas_required = 1
    road_condition_check = 1

    # Returning the required facilities as a dictionary
    return {
        "classrooms_required": int(classrooms_required),
        "labs_required": int(total_labs),
        "workshops_required": int(workshops_required),
        "cad_centres_required": int(cad_centres_required),
        "computer_centres_required": int(computer_centres_required),
        "seminar_halls_required": int(seminar_halls_required),
        "library_required": int(library_required),
        "language_labs_required": int(language_labs_required),
        "pcs_laptops_required": int(pcs_laptops_required),
        "auditorium_required": int(auditorium_required),
        "faculty_cabins_required": int(faculty_cabins_required),
        "medical_room_required": int(medical_room_required),
        "sports_facilities_required": int(sports_facilities_required),
        "canteen_required": int(canteen_required),
        "generator_required": int(generator_required),
        "bicycle_stand_required": int(bicycle_stand_required),
        "bus_transport_required": int(bus_transport_required),
        "dispensers_required": int(dispensers_required),
        "fire_extinguishers_required": int(fire_extinguishers_required),
        "grounds_required": int(grounds_required),
        "parking_areas_required": int(parking_areas_required),
        "road_condition_check": int(road_condition_check),
    }


def process_image_with_model(model_path, labels_path, image_path):
    try:
        model = load_model(model_path, compile=False)
        with open(labels_path, "r") as file:
            class_names = file.readlines()
        image = Image.open(image_path).convert("RGB")
        image = ImageOps.fit(image, (224, 224), Image.Resampling.LANCZOS)
        image_array = np.asarray(image).astype(np.float32) / 127.5 - 1
        data = np.expand_dims(image_array, axis=0)
        prediction = model.predict(data)
        index = np.argmax(prediction)
        class_name = class_names[index].strip()
        confidence_score = prediction[0][index]
        return {"class": class_name, "confidence": round(confidence_score * 100, 2)}
    except Exception as e:
        return {"error": f"Failed to process image. Reason: {str(e)}"}

@app.route('/', methods=['GET', 'POST'])
def home():
    required_facilities = {}

    if request.method == 'POST' and 'calculate_facilities' in request.form:
        # Fetch inputs for calculation
        num_students = int(request.form['num_students'])
        num_divisions = int(request.form['num_divisions'])
        num_courses = int(request.form['num_courses'])
        course_duration = int(request.form['course_duration'])

        # Calculate facilities
        required_facilities = calculate_required_facilities(
            num_students, num_divisions, num_courses, course_duration
        )

    # Handle verification for each facility
    elif request.method == 'POST' and 'facility' in request.form:
        selected_facility = request.form.get('facility')
        facility = next((f for f in FACILITIES if f['name'] == selected_facility), None)

        if facility:
            files = request.files.getlist("files")
            if files:
                save_dir = os.path.join(app.config['UPLOAD_FOLDER'], selected_facility)
                os.makedirs(save_dir, exist_ok=True)
                for file in files:
                    if file.filename == "":
                        flash("No file selected for uploading.", "warning")
                        continue
                    filename = secure_filename(file.filename)
                    file_path = os.path.join(save_dir, filename)
                    file.save(file_path)
                    result = process_image_with_model(facility["model"], facility["labels"], file_path)
                    if 'error' in result:
                        flash(result['error'], "danger")
                    else:
                        flash(f"{result['class']} detected with {result['confidence']}% confidence.", "success")

    return render_template(
        'index.html',
        facilities=FACILITIES,
        required_facilities=required_facilities
    )

if __name__ == '__main__':
    app.run(debug=True)