Delete PneumonAI_App
Browse files- PneumonAI_App/Dockerfile +0 -20
- PneumonAI_App/app.py +0 -64
- PneumonAI_App/assets/accuracy.png +0 -0
- PneumonAI_App/assets/clear.png +0 -0
- PneumonAI_App/assets/clock.png +0 -0
- PneumonAI_App/assets/eye.png +0 -0
- PneumonAI_App/assets/header.png +0 -0
- PneumonAI_App/assets/logo.png +0 -0
- PneumonAI_App/assets/loupe.png +0 -0
- PneumonAI_App/assets/machine-learning.png +0 -0
- PneumonAI_App/assets/person1.jpg +0 -0
- PneumonAI_App/assets/person2.jpg +0 -0
- PneumonAI_App/assets/person3.png +0 -3
- PneumonAI_App/assets/robot.png +0 -0
- PneumonAI_App/assets/x-ray.png +0 -0
- PneumonAI_App/pneumonAI_model.pth +0 -3
- PneumonAI_App/requirements.txt +0 -4
- PneumonAI_App/templates/about.html +0 -130
- PneumonAI_App/templates/home.html +0 -592
PneumonAI_App/Dockerfile
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# Use an official Python runtime as a parent image
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FROM python:3.8
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# Set the working directory in the container
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WORKDIR /PneumonAI_App
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# Copy the current directory contents into the container at /app
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COPY . /PneumonAI_App
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# Install any needed packages specified in requirements.txt
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RUN pip install --no-cache-dir -r requirements.txt
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# Expose port 5000 for the Flask app
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EXPOSE 5000
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# Define environment variable
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ENV FLASK_APP=app.py
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# Run the application
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CMD ["python", "/PneumonAI_App/app.py"]
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PneumonAI_App/app.py
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from flask import Flask, render_template, request, jsonify
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import torch
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import torch.nn as nn
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from torchvision import transforms
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from torchvision.models import vgg16
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from PIL import Image
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import io
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app = Flask(__name__, static_folder='assets')
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# Load the model
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model = torch.load('pneumonAI_model.pth', map_location=torch.device('cpu'))
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model.eval()
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# Define class labels
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class_to_label = {0: 'Normal', 1: 'Pneumonia'}
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# Define the transformation
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preprocess = transforms.Compose([
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transforms.Grayscale(num_output_channels=3),
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transforms.Resize((224, 224)), # Adjusted to 224 for the model
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transforms.ToTensor(),
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transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
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])
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@app.route('/')
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def home():
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return render_template('home.html')
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@app.route('/about')
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def about():
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return render_template('about.html')
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@app.route('/predict', methods=['POST'])
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def predict():
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if 'file' not in request.files:
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return jsonify({'error': 'No file part'})
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file = request.files['file']
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if file.filename == '':
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return jsonify({'error': 'No selected file'})
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# Load the image
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img = Image.open(io.BytesIO(file.read()))
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# Preprocess the image
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img_tensor = preprocess(img).unsqueeze(0) # Add batch dimension
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# Make the prediction
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with torch.no_grad():
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output = model(img_tensor)
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# Apply softmax to get confidence scores (probabilities)
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probabilities = torch.nn.functional.softmax(output, dim=1)
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# Get the predicted class label and its confidence
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predicted_class = torch.argmax(probabilities, 1).item()
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confidence = probabilities[0][predicted_class].item()
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return jsonify({'prediction': class_to_label[predicted_class], 'confidence': confidence * 100})
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if __name__ == '__main__':
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app.run(debug=True)
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PneumonAI_App/assets/accuracy.png
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PneumonAI_App/assets/clear.png
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PneumonAI_App/assets/clock.png
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PneumonAI_App/assets/eye.png
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PneumonAI_App/assets/header.png
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PneumonAI_App/assets/logo.png
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PneumonAI_App/assets/loupe.png
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PneumonAI_App/assets/machine-learning.png
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PneumonAI_App/assets/person1.jpg
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PneumonAI_App/assets/person2.jpg
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PneumonAI_App/assets/person3.png
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PneumonAI_App/assets/robot.png
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PneumonAI_App/assets/x-ray.png
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PneumonAI_App/pneumonAI_model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:369fecfa56158f4847718d02ba90777d81453667c41c220849299c9790c60be5
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size 537096918
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PneumonAI_App/requirements.txt
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flask
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torch
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torchvision
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gunicorn
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PneumonAI_App/templates/about.html
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta content="width=device-width, initial-scale=1.0" name="viewport" />
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<title>PneumonAI</title>
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<script src="https://cdn.tailwindcss.com"></script>
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<link
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href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"
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rel="stylesheet"
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/>
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<link
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href="https://fonts.googleapis.com/css2?family=Nunito:wght@400;700&display=swap"
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rel="stylesheet"
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/>
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<link
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rel="icon"
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href="{{ url_for('static', filename='logo.png') }}"
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type="image/x-icon"
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/>
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<style>
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body {
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font-family: "Nunito", sans-serif;
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}
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.blue {
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background-color: #0099ff;
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}
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.dongker {
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color: #01095e;
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}
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.bg {
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background-color: rgba(0, 153, 255, 0.65);
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}
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.bdr {
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border: 2px solid #0099ff;
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}
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</style>
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</head>
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<body class="bg-gray-50 text-gray-800">
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<header class="bg-white shadow-lg sticky top-0 z-50">
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<div
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class="container mx-auto px-12 py-4 flex justify-between items-center"
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>
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<div class="flex items-center">
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<img
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alt="PneumonAI logo"
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class="h-10 w-10 rounded-md"
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height="40"
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src="{{ url_for('static', filename='logo.png') }}"
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width="40"
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/>
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<span class="ml-2 text-2xl font-bold dongker"> PneumonAI </span>
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</div>
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<nav class="flex space-x-4 items-center">
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<a class="hover:text-blue-500" href="{{ url_for('home') }}"> Home </a>
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<a class="hover:text-blue-500" href="{{ url_for('about') }}">
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About Us
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</a>
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<a
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class="blue text-white px-4 py-2 rounded-full hover:bg-blue-500"
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href="{{ url_for('home') }}#detect"
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>
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Start Detecting
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</a>
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</nav>
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</div>
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</header>
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<main class="text-center py-16">
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<h1 class="text-5xl font-bold dongker pt-8">Our Mission:</h1>
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<h2 class="text-5xl font-bold dongker mt-2">
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Merging Technology and Health
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</h2>
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<p class="mt-6 pt-12 text-lg max-w-4xl mx-auto pb-8">
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We are a team dedicated to creating AI solutions that enhance healthcare
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for everyone. With expertise in both technology and medicine, our goal
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is to make disease diagnosis faster, easier, and more accurate. Meet the
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people behind this innovation and join us in shaping a healthier future.
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</p>
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</main>
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<section class="bg py-16 pt-24 pb-24">
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<h2 class="text-5xl font-bold text-center dongker pb-12">
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Meet Our Team
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</h2>
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<div class="flex justify-center space-x-8 mt-8">
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<div
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class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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>
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<img
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alt="Profile picture of Bernard Santosa"
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class="mx-auto rounded-full"
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height="150"
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src="{{ url_for('static', filename='person1.jpg') }}"
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width="150"
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/>
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<p class="mt-4 text-lg font-semibold">Bernard Santosa</p>
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</div>
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<div
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class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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>
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<img
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alt="Profile picture of Filbert Naldo Wijaya"
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class="mx-auto rounded-full"
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height="150"
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src="{{ url_for('static', filename='person2.jpg') }}"
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width="150"
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/>
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<p class="mt-4 text-lg font-semibold">Filbert Naldo Wijaya</p>
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</div>
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<div
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class="bg-white p-6 rounded-xl shadow-lg text-center min-w-[225px]"
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>
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<img
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alt="Profile picture of Edberg"
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class="mx-auto rounded-full"
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height="150"
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src="{{ url_for('static', filename='person3.png') }}"
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width="150"
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/>
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<p class="mt-4 text-lg font-semibold">Edberg</p>
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</div>
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</div>
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</section>
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<footer class="text-center py-4">
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<p>Copyright © 2024 PneumonAI</p>
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</footer>
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</body>
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</html>
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PneumonAI_App/templates/home.html
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<html lang="en">
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<head>
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<meta charset="utf-8" />
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<meta content="width=device-width, initial-scale=1.0" name="viewport" />
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<title>PneumonAI</title>
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<script src="https://cdn.tailwindcss.com"></script>
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<link
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href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.15.3/css/all.min.css"
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rel="stylesheet"
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/>
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<link
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href="https://fonts.googleapis.com/css2?family=Nunito:wght@400;700&display=swap"
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rel="stylesheet"
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/>
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<link
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rel="icon"
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href="{{ url_for('static', filename='logo.png') }}"
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type="image/x-icon"
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/>
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<style>
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body {
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font-family: "Nunito", sans-serif;
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}
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.blue {
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background-color: #0099ff;
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}
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.dongker {
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color: #01095e;
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}
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.bg {
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background-color: rgba(0, 153, 255, 0.65);
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}
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.bdr {
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border: 2px solid #0099ff;
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}
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</style>
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</head>
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<body class="bg-gray-50 text-gray-1000">
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<header class="bg-white shadow-lg sticky top-0 z-50">
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<div
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class="container mx-auto px-12 py-4 flex justify-between items-center"
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>
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<div class="flex items-center">
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<img
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alt="PneumonAI logo"
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class="h-10 w-10 rounded-md"
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height="40"
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src="{{ url_for('static', filename='logo.png') }}"
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width="40"
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/>
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<span class="ml-2 text-2xl font-bold dongker"> PneumonAI </span>
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</div>
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<nav class="flex space-x-4 items-center">
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<a class="hover:text-blue-500" href="{{ url_for('home') }}"> Home </a>
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<a class="hover:text-blue-500" href="{{ url_for('about') }}">
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About Us
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</a>
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<a
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class="blue text-white px-4 py-2 rounded-full hover:bg-blue-500"
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href="#detect"
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>
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Start Detecting
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</a>
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</nav>
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</div>
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</header>
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<main>
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<section class="bg-white py-12">
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<div
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class="container mx-auto px-12 flex flex-col md:flex-row items-center"
|
76 |
-
>
|
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<div class="md:w-2/3 text-center md:text-left">
|
78 |
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<h1 class="text-5xl font-bold dongker">
|
79 |
-
Detect Pneumonia with AI. <br />Fast, Accurate, and Easy!
|
80 |
-
</h1>
|
81 |
-
<p class="mt-4 pt-4 text-lg">
|
82 |
-
Welcome to the future of pneumonia detection! With just one click,
|
83 |
-
you can analyze your chest X-ray and get fast, reliable results.
|
84 |
-
Start now and experience the power of cutting-edge technology.
|
85 |
-
</p>
|
86 |
-
<div class="mt-8 flex justify-center md:justify-start space-x-4">
|
87 |
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<a
|
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class="blue text-white px-6 py-3 rounded-full hover:bg-blue-500"
|
89 |
-
href="#detect"
|
90 |
-
>
|
91 |
-
Start Detecting
|
92 |
-
</a>
|
93 |
-
</div>
|
94 |
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</div>
|
95 |
-
<div class="md:w-1/3 mt-8 md:mt-0 flex justify-center md:justify-end">
|
96 |
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<img
|
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alt="Doctor analyzing X-ray"
|
98 |
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class="mx-auto"
|
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-
height="400"
|
100 |
-
src="{{ url_for('static', filename='header.png') }}"
|
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width="400"
|
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-
/>
|
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</div>
|
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</div>
|
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</section>
|
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<section class="bg py-16">
|
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<div class="container mx-auto px-4 py-8">
|
108 |
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<h2 class="text-5xl font-bold text-center dongker">
|
109 |
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What You Need to Know About Pneumonia
|
110 |
-
</h2>
|
111 |
-
<div class="mt-8 grid grid-cols-1 md:grid-cols-2 gap-8 pt-12 px-8">
|
112 |
-
<div class="bg-white p-6 rounded-2xl shadow">
|
113 |
-
<h3 class="text-2xl font-bold text-gray-800">
|
114 |
-
What is Pneumonia?
|
115 |
-
</h3>
|
116 |
-
<p class="mt-2">
|
117 |
-
Pneumonia is a lung infection that makes it hard to breathe. It
|
118 |
-
fills the air sacs in your lungs with fluid or pus, leading to
|
119 |
-
coughing, fever, and chills. While anyone can get pneumonia,
|
120 |
-
it's more dangerous for young kids, older people, and those with
|
121 |
-
weak immune systems.
|
122 |
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</p>
|
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</div>
|
124 |
-
<div class="bg-white p-6 rounded-2xl shadow">
|
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<h3 class="text-2xl font-bold text-gray-800">What Causes It?</h3>
|
126 |
-
<p class="mt-2">
|
127 |
-
Pneumonia is caused by germs like bacteria, viruses (like the
|
128 |
-
flu or COVID-19), and fungi. The most common type comes from
|
129 |
-
bacteria called Streptococcus pneumoniae.
|
130 |
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</p>
|
131 |
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</div>
|
132 |
-
<div class="bg-white p-6 rounded-2xl shadow">
|
133 |
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<h3 class="text-2xl font-bold text-gray-800">
|
134 |
-
What Happens if It's Left Untreated?
|
135 |
-
</h3>
|
136 |
-
<p class="mt-2">
|
137 |
-
Without treatment, pneumonia can cause serious problems like
|
138 |
-
breathing failure or blood infections. It's important to treat
|
139 |
-
it early to prevent these dangers.
|
140 |
-
</p>
|
141 |
-
</div>
|
142 |
-
<div class="bg-white p-6 rounded-2xl shadow">
|
143 |
-
<h3 class="text-2xl font-bold text-gray-800">
|
144 |
-
How Do You Detect It?
|
145 |
-
</h3>
|
146 |
-
<p class="mt-2">
|
147 |
-
Pneumonia symptoms can feel like a bad cold, so doctors use
|
148 |
-
chest X-rays to find it. With our AI, you can upload your X-ray,
|
149 |
-
and we'll help check for pneumonia quickly.
|
150 |
-
</p>
|
151 |
-
</div>
|
152 |
-
</div>
|
153 |
-
</div>
|
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</section>
|
155 |
-
<section class="bg-white py-16 pb-24">
|
156 |
-
<div class="container mx-auto px-12 pt-8">
|
157 |
-
<h2 class="text-5xl font-bold text-center dongker">
|
158 |
-
How Does Our AI Detect Pneumonia?
|
159 |
-
</h2>
|
160 |
-
<p class="mt-4 text-center py-8 text-lg">
|
161 |
-
Behind the scenes, our AI is like a detective, scanning your X-ray
|
162 |
-
for clues and patterns that could signal pneumonia. It's fast,
|
163 |
-
reliable, and gives you answers without the wait. Want to know how
|
164 |
-
it all works? We've got you covered.
|
165 |
-
</p>
|
166 |
-
|
167 |
-
<div class="mt-8 grid grid-cols-1 md:grid-cols-3 gap-8">
|
168 |
-
<!-- Left column - Powered by Deep Learning Section -->
|
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<div class="bg-white p-6 bdr rounded-3xl shadow-xl">
|
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<div class="flex items-start">
|
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<div>
|
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<img
|
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-
src="{{ url_for('static', filename='machine-learning.png') }}"
|
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alt="icon"
|
175 |
-
class="w-9 h-9 mr-4 mb-2"
|
176 |
-
/>
|
177 |
-
<h3 class="text-xl font-bold">Powered by Deep Learning</h3>
|
178 |
-
<p class="mt-2">
|
179 |
-
Our AI uses deep learning, mimicking the human brain.
|
180 |
-
Trained on thousands of X-rays, it recognizes subtle
|
181 |
-
patterns that even experts might miss, like having a
|
182 |
-
super-experienced radiologist 24/7.
|
183 |
-
</p>
|
184 |
-
</div>
|
185 |
-
</div>
|
186 |
-
</div>
|
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-
|
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-
<!-- Center Column - Robot Image Section -->
|
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-
<div
|
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class="bg-white p-6 bdr rounded-3xl shadow-xl row-span-2 flex items-center justify-center"
|
191 |
-
>
|
192 |
-
<img
|
193 |
-
alt="AI analyzing X-ray"
|
194 |
-
class="mx-auto"
|
195 |
-
height="500"
|
196 |
-
src="{{ url_for('static', filename='robot.png') }}"
|
197 |
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width="500"
|
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/>
|
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</div>
|
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-
|
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<!-- Left column - Super Quick Results Section -->
|
202 |
-
<div class="bg-white p-6 bdr rounded-3xl shadow-xl">
|
203 |
-
<div class="flex items-start">
|
204 |
-
<div>
|
205 |
-
<img
|
206 |
-
src="{{ url_for('static', filename='clock.png') }}"
|
207 |
-
alt="icon"
|
208 |
-
class="w-9 h-9 mr-4 mb-2"
|
209 |
-
/>
|
210 |
-
<h3 class="text-xl font-bold">Super Quick Results</h3>
|
211 |
-
<p class="mt-2">
|
212 |
-
Get results in seconds after uploading your image. The AI
|
213 |
-
processes it instantly, delivering a detailed report without
|
214 |
-
delay.
|
215 |
-
</p>
|
216 |
-
</div>
|
217 |
-
</div>
|
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</div>
|
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-
|
220 |
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<!-- Right column - What Does It Look For? Section -->
|
221 |
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<div class="bg-white p-6 bdr rounded-3xl shadow-xl">
|
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<div class="flex items-start">
|
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-
<div>
|
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-
<img
|
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-
src="{{ url_for('static', filename='eye.png') }}"
|
226 |
-
alt="icon"
|
227 |
-
class="w-9 h-9 mr-4 mb-2"
|
228 |
-
/>
|
229 |
-
<h3 class="text-xl font-bold">What Does It Look For?</h3>
|
230 |
-
<p class="mt-2">
|
231 |
-
Upload your chest X-ray, and the AI scans for pneumonia
|
232 |
-
signs such as lung opacity, fluid buildup, and inflammation,
|
233 |
-
providing a detailed analysis.
|
234 |
-
</p>
|
235 |
-
</div>
|
236 |
-
</div>
|
237 |
-
</div>
|
238 |
-
|
239 |
-
<!-- Right column - Accuracy You Can Trust Section -->
|
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-
<div class="bg-white p-6 bdr rounded-3xl shadow-xl">
|
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<div class="flex items-start">
|
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-
<div>
|
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<img
|
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-
src="{{ url_for('static', filename='accuracy.png') }}"
|
245 |
-
alt="icon"
|
246 |
-
class="w-9 h-9 mr-4 mb-2"
|
247 |
-
/>
|
248 |
-
<h3 class="text-xl font-bold">Accuracy You Can Trust</h3>
|
249 |
-
<p class="mt-2">
|
250 |
-
Trained on 10,000 images, our model delivers 95.83% of
|
251 |
-
accuracy, complementing doctors' expertise for the best
|
252 |
-
care.
|
253 |
-
</p>
|
254 |
-
</div>
|
255 |
-
</div>
|
256 |
-
</div>
|
257 |
-
</div>
|
258 |
-
</div>
|
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-
</section>
|
260 |
-
<section class="bg py-16 px-8 pb-24" id="detect">
|
261 |
-
<div class="container mx-auto px-4 text-center">
|
262 |
-
<h2 class="text-5xl font-bold dongker mt-8">
|
263 |
-
Upload Your X-ray - Get Instant Results!
|
264 |
-
</h2>
|
265 |
-
<p class="mt-4 text-lg py-8">
|
266 |
-
Got a chest X-ray? Great! Upload it here, and in just a few moments,
|
267 |
-
our AI will give you a detailed report. <br />It's quick, it's easy,
|
268 |
-
and it's secure. Let's get started!
|
269 |
-
</p>
|
270 |
-
<div
|
271 |
-
class="mt-8 grid grid-cols-1 md:grid-cols-2 gap-8 bg-white rounded-3xl p-8 mx-36"
|
272 |
-
style="min-height: 450px"
|
273 |
-
>
|
274 |
-
<div
|
275 |
-
class="bg-white p-6 rounded-xl shadow flex flex-col items-center justify-center border-2 border-dashed border-gray-500 relative"
|
276 |
-
>
|
277 |
-
<img
|
278 |
-
src="{{ url_for('static', filename='x-ray.png') }}"
|
279 |
-
alt="icon"
|
280 |
-
class="w-20 h-20 opacity-40"
|
281 |
-
id="uploadLogo"
|
282 |
-
/>
|
283 |
-
<button
|
284 |
-
class="mt-4 blue text-white px-6 py-3 mt-8 rounded-full hover:bg-blue-500"
|
285 |
-
id="uploadButton"
|
286 |
-
>
|
287 |
-
Upload Image
|
288 |
-
</button>
|
289 |
-
<input
|
290 |
-
class="hidden"
|
291 |
-
id="fileInput"
|
292 |
-
type="file"
|
293 |
-
accept="image/*"
|
294 |
-
/>
|
295 |
-
<img
|
296 |
-
alt="Image Preview"
|
297 |
-
class="mt-4 hidden"
|
298 |
-
id="imagePreview"
|
299 |
-
style="display: none; max-width: 100%"
|
300 |
-
/>
|
301 |
-
<i
|
302 |
-
class="fas fa-times text-3xl absolute dongker mt-4 hidden top-0 right-6"
|
303 |
-
id="removeImage"
|
304 |
-
style="cursor: pointer"
|
305 |
-
>
|
306 |
-
</i>
|
307 |
-
</div>
|
308 |
-
<div
|
309 |
-
class="bg-white p-6 rounded-xl shadow flex flex-col items-center justify-center border-2 border-gray-300"
|
310 |
-
>
|
311 |
-
<img
|
312 |
-
src="{{ url_for('static', filename='loupe.png') }}"
|
313 |
-
alt="icon"
|
314 |
-
class="w-20 h-20 opacity-40"
|
315 |
-
id="check-icon"
|
316 |
-
/>
|
317 |
-
<button
|
318 |
-
class="mt-4 bg-gray-200 px-6 py-3 mt-8 rounded-full hover:bg-gray-300"
|
319 |
-
id="check-button"
|
320 |
-
disabled
|
321 |
-
>
|
322 |
-
Check My X-Ray
|
323 |
-
</button>
|
324 |
-
<div class="w-full" id="prediction-result" style="display: none">
|
325 |
-
<div>
|
326 |
-
<p class="text-left pb-2 text-lg">Prediction</p>
|
327 |
-
<div
|
328 |
-
id="prediction"
|
329 |
-
class="bg-gray-100 py-9 rounded-lg text-center text-2xl font-bold"
|
330 |
-
>
|
331 |
-
Pneumonia
|
332 |
-
</div>
|
333 |
-
</div>
|
334 |
-
<div class="pt-12">
|
335 |
-
<p class="text-left pb-2 text-lg">Confidence</p>
|
336 |
-
<div
|
337 |
-
id="confidence"
|
338 |
-
class="bg-gray-100 py-9 rounded-lg text-center text-2xl font-bold"
|
339 |
-
>
|
340 |
-
98.57%
|
341 |
-
</div>
|
342 |
-
</div>
|
343 |
-
</div>
|
344 |
-
</div>
|
345 |
-
</div>
|
346 |
-
</div>
|
347 |
-
</section>
|
348 |
-
<section class="bg-white py-16 px-8">
|
349 |
-
<div class="container mx-auto px-4">
|
350 |
-
<h2 class="text-5xl font-bold dongker">Frequently Ask Question</h2>
|
351 |
-
<hr class="my-4 border-t-2 border-gray-300" />
|
352 |
-
<ul class="mt-8 space-y-4 text-lg">
|
353 |
-
<li class="accordion-item">
|
354 |
-
<div class="accordion-header cursor-pointer text-xl font-bold">
|
355 |
-
<span class="icon font-normal">></span>
|
356 |
-
<span>How quickly can I start the detection process?</span>
|
357 |
-
</div>
|
358 |
-
<div
|
359 |
-
class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
|
360 |
-
>
|
361 |
-
<p class="mt-2 text-justify">
|
362 |
-
No complicated forms here. Just drag and drop your chest X-ray
|
363 |
-
image or select it from your device, and our AI will start
|
364 |
-
analyzing right away. The process only takes a few seconds,
|
365 |
-
and you'll have your results in no time.
|
366 |
-
</p>
|
367 |
-
</div>
|
368 |
-
</li>
|
369 |
-
<li class="accordion-item">
|
370 |
-
<div class="accordion-header cursor-pointer text-xl font-bold">
|
371 |
-
<span class="icon font-normal">></span>
|
372 |
-
<span>What information will I receive after the scan?</span>
|
373 |
-
</div>
|
374 |
-
<div
|
375 |
-
class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
|
376 |
-
>
|
377 |
-
<p class="mt-2 text-justify">
|
378 |
-
Once the scan is complete, you’ll receive two key pieces of
|
379 |
-
information:
|
380 |
-
<br /><br />
|
381 |
-
Prediction: Whether the scan indicates ‘Normal’ or shows signs
|
382 |
-
of ‘Pneumonia’.
|
383 |
-
<br />
|
384 |
-
Confidence Level: A percentage that tells you how confident
|
385 |
-
the AI is in its prediction.
|
386 |
-
<br /><br />
|
387 |
-
For example, a 95% confidence means the AI is highly certain
|
388 |
-
about its result.
|
389 |
-
</p>
|
390 |
-
</div>
|
391 |
-
</li>
|
392 |
-
<li class="accordion-item">
|
393 |
-
<div class="accordion-header cursor-pointer text-xl font-bold">
|
394 |
-
<span class="icon font-normal">></span>
|
395 |
-
<span>Is my privacy protected when using this tool?</span>
|
396 |
-
</div>
|
397 |
-
<div
|
398 |
-
class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
|
399 |
-
>
|
400 |
-
<p class="mt-2 text-justify">
|
401 |
-
We take your privacy seriously. Your X-rays are processed
|
402 |
-
securely, and we don’t store any images after generating your
|
403 |
-
results. It’s all about keeping your data safe while giving
|
404 |
-
you the answers you need.
|
405 |
-
</p>
|
406 |
-
</div>
|
407 |
-
</li>
|
408 |
-
<li class="accordion-item">
|
409 |
-
<div class="accordion-header cursor-pointer text-xl font-bold">
|
410 |
-
<span class="icon font-normal">></span>
|
411 |
-
<span>How fast will I get the results?</span>
|
412 |
-
</div>
|
413 |
-
<div
|
414 |
-
class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
|
415 |
-
>
|
416 |
-
<p class="mt-2 text-justify">
|
417 |
-
No need to wait around. As soon as the image is uploaded, our
|
418 |
-
AI works its magic and provides you with a detailed prediction
|
419 |
-
in seconds. The confidence score helps you understand how
|
420 |
-
reliable the result is, giving you peace of mind.
|
421 |
-
</p>
|
422 |
-
</div>
|
423 |
-
</li>
|
424 |
-
<li class="accordion-item">
|
425 |
-
<div class="accordion-header cursor-pointer text-xl font-bold">
|
426 |
-
<span class="icon font-normal">></span>
|
427 |
-
<span>What should I do if the result indicates pneumonia?</span>
|
428 |
-
</div>
|
429 |
-
<div
|
430 |
-
class="accordion-content max-h-0 overflow-hidden transition-all duration-300"
|
431 |
-
>
|
432 |
-
<p class="mt-2 text-justify">
|
433 |
-
If the result suggests pneumonia, we recommend you follow up
|
434 |
-
with a healthcare professional. The AI is designed to support
|
435 |
-
early detection, but a doctor’s opinion is always the next
|
436 |
-
step in your care journey.
|
437 |
-
</p>
|
438 |
-
</div>
|
439 |
-
</li>
|
440 |
-
</ul>
|
441 |
-
</div>
|
442 |
-
</section>
|
443 |
-
</main>
|
444 |
-
<footer class="bg-white py-4 pb-4">
|
445 |
-
<div class="container mx-auto px-4 text-center">
|
446 |
-
<p>Copyright © 2024 PneumonAI</p>
|
447 |
-
</div>
|
448 |
-
</footer>
|
449 |
-
<script>
|
450 |
-
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|
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470 |
-
content.style.maxHeight = content.scrollHeight + "px";
|
471 |
-
item.classList.add("open");
|
472 |
-
}
|
473 |
-
};
|
474 |
-
|
475 |
-
document
|
476 |
-
.getElementById("uploadButton")
|
477 |
-
.addEventListener("click", function () {
|
478 |
-
document.getElementById("fileInput").click();
|
479 |
-
});
|
480 |
-
|
481 |
-
document
|
482 |
-
.getElementById("fileInput")
|
483 |
-
.addEventListener("change", function (event) {
|
484 |
-
const file = event.target.files[0];
|
485 |
-
if (file) {
|
486 |
-
const reader = new FileReader();
|
487 |
-
reader.onload = function (e) {
|
488 |
-
document.getElementById("imagePreview").src = e.target.result;
|
489 |
-
document.getElementById("imagePreview").style.display = "block";
|
490 |
-
document.getElementById("uploadLogo").style.display = "none";
|
491 |
-
document.getElementById("uploadButton").style.display = "none";
|
492 |
-
document.getElementById("removeImage").style.display = "block";
|
493 |
-
};
|
494 |
-
reader.readAsDataURL(file);
|
495 |
-
}
|
496 |
-
});
|
497 |
-
|
498 |
-
document
|
499 |
-
.getElementById("removeImage")
|
500 |
-
.addEventListener("click", function () {
|
501 |
-
document.getElementById("fileInput").value = "";
|
502 |
-
document.getElementById("imagePreview").style.display = "none";
|
503 |
-
document.getElementById("uploadLogo").style.display = "block";
|
504 |
-
document.getElementById("uploadButton").style.display = "block";
|
505 |
-
document.getElementById("removeImage").style.display = "none";
|
506 |
-
|
507 |
-
// sementara - handle upload tapi blm dicheck dan lgsg remove
|
508 |
-
window.location.reload();
|
509 |
-
});
|
510 |
-
});
|
511 |
-
|
512 |
-
document.querySelectorAll(".accordion-item").forEach((item) => {
|
513 |
-
const header = item.querySelector(".accordion-header");
|
514 |
-
const content = item.querySelector(".accordion-content");
|
515 |
-
const icon = header.querySelector(".icon");
|
516 |
-
|
517 |
-
header.addEventListener("click", () => {
|
518 |
-
const isActive = content.style.maxHeight;
|
519 |
-
document
|
520 |
-
.querySelectorAll(".accordion-content")
|
521 |
-
.forEach((c) => (c.style.maxHeight = null));
|
522 |
-
document
|
523 |
-
.querySelectorAll(".icon")
|
524 |
-
.forEach((i) => (i.textContent = ">"));
|
525 |
-
|
526 |
-
if (!isActive) {
|
527 |
-
content.style.maxHeight = content.scrollHeight + "px";
|
528 |
-
icon.textContent = "v";
|
529 |
-
} else {
|
530 |
-
content.style.maxHeight = null;
|
531 |
-
}
|
532 |
-
});
|
533 |
-
});
|
534 |
-
|
535 |
-
const fileInput = document.getElementById("fileInput");
|
536 |
-
const checkButton = document.getElementById("check-button");
|
537 |
-
|
538 |
-
const removeImage = document.getElementById("removeImage");
|
539 |
-
const uploadLogo = document.getElementById("uploadLogo");
|
540 |
-
const imagePreview = document.getElementById("imagePreview");
|
541 |
-
|
542 |
-
const predictionResult = document.getElementById("prediction-result");
|
543 |
-
const predictionText = document.getElementById("prediction");
|
544 |
-
const confidenceText = document.getElementById("confidence");
|
545 |
-
|
546 |
-
// Enable the check button when an image is uploaded
|
547 |
-
fileInput.addEventListener("change", function () {
|
548 |
-
if (fileInput.files.length > 0) {
|
549 |
-
checkButton.disabled = false;
|
550 |
-
uploadLogo.classList.add("hidden"); // Hide the upload icon
|
551 |
-
imagePreview.src = URL.createObjectURL(fileInput.files[0]);
|
552 |
-
imagePreview.classList.remove("hidden"); // Show the image preview
|
553 |
-
removeImage.classList.remove("hidden"); // Show the remove icon
|
554 |
-
} else {
|
555 |
-
checkButton.disabled = true;
|
556 |
-
}
|
557 |
-
});
|
558 |
-
|
559 |
-
// Call the showPrediction function when the "Check" button is clicked
|
560 |
-
checkButton.addEventListener("click", function () {
|
561 |
-
const formData = new FormData();
|
562 |
-
formData.append("file", fileInput.files[0]);
|
563 |
-
console.log(formData);
|
564 |
-
fetch("/predict", {
|
565 |
-
// Ensure '/predict' matches your Flask route
|
566 |
-
method: "POST",
|
567 |
-
body: formData,
|
568 |
-
})
|
569 |
-
.then((response) => response.json())
|
570 |
-
.then((data) => {
|
571 |
-
predictionText.innerText = data.prediction; // Update with the prediction result
|
572 |
-
confidenceText.innerText = data.confidence.toFixed(2) + "%"; // Update with the confidence
|
573 |
-
predictionResult.style.display = "block"; // Show the prediction result
|
574 |
-
document.getElementById("check-icon").style.display = "none";
|
575 |
-
document.getElementById("check-button").style.display = "none";
|
576 |
-
})
|
577 |
-
.catch((error) => {
|
578 |
-
console.error("Error:", error);
|
579 |
-
});
|
580 |
-
});
|
581 |
-
|
582 |
-
removeImage.addEventListener("click", function () {
|
583 |
-
fileInput.value = ""; // Clear the file input
|
584 |
-
checkButton.disabled = true; // Disable the check button
|
585 |
-
uploadLogo.classList.remove("hidden"); // Show the upload icon again
|
586 |
-
imagePreview.classList.add("hidden"); // Hide the image preview
|
587 |
-
removeImage.classList.add("hidden"); // Hide the remove icon
|
588 |
-
predictionResult.style.display = "none"; // Hide the prediction result
|
589 |
-
});
|
590 |
-
</script>
|
591 |
-
</body>
|
592 |
-
</html>
|
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