File size: 1,584 Bytes
716551d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
from flask import Flask, request, jsonify
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
import numpy as np
import requests
from io import BytesIO
from PIL import Image
# Ambil api key dari .env
import os
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv('API_KEY')
app = Flask(__name__)
# Definisikan ukuran gambar
img_width, img_height = 150, 150
# Memuat model
model = load_model('inceptionv3_nsfw_model.h5')
def classify_image(img):
img = img.resize((img_width, img_height))
img_array = image.img_to_array(img)
img_array = np.expand_dims(img_array, axis=0) / 255.0
predictions = model.predict(img_array)
class_names = ['sexy', 'hentai', 'porn', 'neutral', 'drawings']
result = dict(zip(class_names, predictions[0].astype(float)))
return result
def check_api_key(request):
api_key = request.headers.get('x-api-key')
return api_key == API_KEY
@app.route('/classify', methods=['POST'])
def classify():
if not check_api_key(request):
return jsonify({'error': 'Invalid or missing API key'}), 403
data = request.json
img_url = data.get('image_url')
if not img_url:
return jsonify({'error': 'No image URL provided'}), 400
try:
response = requests.get(img_url)
img = Image.open(BytesIO(response.content))
except Exception as e:
return jsonify({'error': str(e)}), 400
result = classify_image(img)
return jsonify(result)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000)
|