Commit
·
3b39ea1
1
Parent(s):
f43d4e8
Initial Docker deployment of Flask app
Browse files- app.py +66 -0
- dockerfile +11 -0
- index.html +127 -0
- model.pkl +3 -0
- requirements.txt +6 -0
- scaler.pkl +3 -0
- templates/index.html +126 -0
app.py
ADDED
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from flask import Flask, render_template, request
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import pickle
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import numpy as np
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app = Flask(__name__)
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# Load model and scaler
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with open("model.pkl", "rb") as f1:
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model = pickle.load(f1)
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with open("scaler.pkl", "rb") as f2:
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scaler = pickle.load(f2)
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FEATURES = [
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'Operation_Mode', 'Temperature_C', 'Vibration_Hz',
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'Power_Consumption_kW', 'Network_Latency_ms', 'Packet_Loss_%',
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'Quality_Control_Defect_Rate_%', 'Production_Speed_units_per_hr',
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'Predictive_Maintenance_Score', 'Error_Rate_%','Year', 'Month', 'Day', 'Hour'
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]
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LABELS = {
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0:"High",
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1:"Low",
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2:"Medium"
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}
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# Dictionary of placeholders for each feature
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placeholders = {
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'Operation_Mode': 'low-1,med-2,high-3',
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'Temperature_C': 'Enter the temprature',
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'Vibration_Hz': 'Enter in range(0.1-5)',
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'Power_Consumption_kW': 'Enter in range(1-10)',
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'Network_Latency_ms': 'Enter in range(1-50)',
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'Packet_Loss_%': 'e.g., 0.5....to 5',
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'Quality_Control_Defect_Rate_%': 'Enter in range(1-10)',
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'Production_Speed_units_per_hr': 'e.g., 1000',
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'Predictive_Maintenance_Score': 'e.g., 85',
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'Error_Rate_%': 'e.g., 1.2',
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'Year': 'e.g., 2025',
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'Month': 'e.g., 6',
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'Day': 'e.g., 27',
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'Hour': 'e.g., 14'
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}
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@app.route("/" , methods=["GET" , "POST"])
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def index():
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prediction = None
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if request.method=="POST":
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try:
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input_data = [float(request.form[feature]) for feature in FEATURES]
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input_array = np.array(input_data).reshape(1,-1)
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scaled_array = scaler.transform(input_array)
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pred = model.predict(scaled_array)[0]
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prediction = LABELS.get(pred , "Unknown")
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except Exception as e:
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prediction = f"Error : {e}"
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return render_template('index.html', features=FEATURES, placeholders=placeholders, prediction=prediction)
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if __name__=="__main__":
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app.run(debug=True , host="0.0.0.0" , port=7860)
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dockerfile
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FROM python:3.9-slim
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WORKDIR /app
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COPY . /app
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RUN pip install --no-cache-dir -r requirements.txt
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EXPOSE 7860
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CMD ["python", "app.py"]
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index.html
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<!DOCTYPE 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 name="viewport" content="width=device-width , initial-scale=1.0">
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<title>Smart Manufacturing Machines Efficiency Prediction</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background-color:rgb(201, 224, 240);
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background-image: url('https://www.shutterstock.com/shutterstock/photos/2235931143/display_1500/stock-photo-big-data-technology-and-data-science-data-scientist-querying-analysing-and-visualizing-complex-2235931143.jpg');
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margin: 0;
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height: 100vh;
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background-size: cover;
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animation: scrollBackground 30s linear infinite;
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padding: 20px;
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color: #333;
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}
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@keyframes scrollBackground {
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0% {
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background-position: 0 0;
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}
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100% {
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background-position: -1000px 0;
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}
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}
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h1 {
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text-align: center;
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color:rgb(214, 210, 210);
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}
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.form-container {
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max-width: 900px;
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margin: 0 auto;
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background-color: #fff;
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padding: 25px 30px;
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border-radius: 10px;
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box-shadow: 0 4px 12px rgba(133, 56, 56, 0.1);
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}
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.form-grid {
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display: grid;
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grid-template-columns: repeat(2, 1fr); /* 2 columns */
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gap: 20px;
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}
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.form-group {
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display: flex;
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flex-direction: column;
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}
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label {
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margin-bottom: 6px;
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font-weight: bold;
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color: #34495e;
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}
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input[type="text"] {
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padding: 10px;
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border: 1px solid #ccc;
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border-radius: 6px;
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transition: border-color 0.3s;
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}
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input[type="text"]:focus {
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border-color: #3498db;
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outline: none;
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}
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.submit-btn {
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display: block;
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margin: 30px auto 0 auto;
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padding: 12px 30px;
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background-color: #3498db;
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color: #fff;
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font-size: 16px;
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font-weight: bold;
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border: none;
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border-radius: 8px;
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cursor: pointer;
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transition: background-color 0.3s;
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}
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.submit-btn:hover {
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background-color: #2980b9;
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}
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h2 {
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text-align: center;
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margin-top: 25px;
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color: #27ae60;
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}
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@media (max-width: 768px) {
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.form-grid {
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grid-template-columns: 1fr;
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}
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}
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</style>
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</head>
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<body>
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<h1>Smart Manufacturing Machines Efficiency Prediction</h1>
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<form method="post" class="form-container">
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<div class="form-grid">
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{% for feature in features %}
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<div class="form-group">
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<label for="{{ feature }}">{{ feature }}:</label>
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<input type="text" name="{{ feature }}" placeholder="{{ placeholders[feature] }}" required>
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</div>
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{% endfor %}
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</div>
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<button type="submit" class="submit-btn">PREDICT</button>
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</form>
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{% if prediction %}
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<h2>Prediction : {{ prediction }}</h2>
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{% endif %}
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</body>
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</html>
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6cba78a4df5b685023c6298a9d2ca80261574522873ec052a4a700360a13c889
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size 7638579
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requirements.txt
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flask
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scikit-learn
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numpy
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pandas
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joblib
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gunicorn
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scaler.pkl
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:1eba3691125ff3032d9afaacca6132115b8bc70030d919b9e6da4eaf90565ef6
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size 1122
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templates/index.html
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<!DOCTYPE html>
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2 |
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<html lang="en">
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3 |
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<head>
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4 |
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<meta charset="UTF-8">
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5 |
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<meta name="viewport" content="width=device-width , initial-scale=1.0">
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6 |
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<title>Smart Manufacturing Machines Efficiency Prediction</title>
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7 |
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<style>
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9 |
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body {
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10 |
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font-family: Arial, sans-serif;
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11 |
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background-color:rgb(201, 224, 240);
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12 |
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background-image: url('https://www.shutterstock.com/shutterstock/photos/2235931143/display_1500/stock-photo-big-data-technology-and-data-science-data-scientist-querying-analysing-and-visualizing-complex-2235931143.jpg');
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13 |
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margin: 0;
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14 |
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height: 100vh;
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15 |
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background-size: cover;
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16 |
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animation: scrollBackground 30s linear infinite;
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17 |
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padding: 20px;
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18 |
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color: #333;
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}
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@keyframes scrollBackground {
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21 |
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0% {
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22 |
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background-position: 0 0;
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23 |
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}
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100% {
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25 |
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background-position: -1000px 0;
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26 |
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}
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27 |
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}
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28 |
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h1 {
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29 |
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text-align: center;
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30 |
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color:rgb(214, 210, 210);
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31 |
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}
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32 |
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33 |
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.form-container {
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34 |
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max-width: 900px;
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35 |
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margin: 0 auto;
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36 |
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background-color: #fff;
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37 |
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padding: 25px 30px;
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38 |
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border-radius: 10px;
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39 |
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box-shadow: 0 4px 12px rgba(133, 56, 56, 0.1);
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40 |
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}
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41 |
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42 |
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.form-grid {
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43 |
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display: grid;
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44 |
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grid-template-columns: repeat(2, 1fr); /* 2 columns */
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45 |
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gap: 20px;
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46 |
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}
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47 |
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48 |
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.form-group {
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49 |
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display: flex;
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50 |
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flex-direction: column;
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51 |
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}
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52 |
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53 |
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label {
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54 |
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margin-bottom: 6px;
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55 |
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font-weight: bold;
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56 |
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color: #34495e;
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57 |
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}
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58 |
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59 |
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input[type="text"] {
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60 |
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padding: 10px;
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61 |
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border: 1px solid #ccc;
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62 |
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border-radius: 6px;
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63 |
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transition: border-color 0.3s;
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}
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65 |
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66 |
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input[type="text"]:focus {
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67 |
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border-color: #3498db;
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68 |
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outline: none;
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69 |
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}
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70 |
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71 |
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.submit-btn {
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72 |
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display: block;
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73 |
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margin: 30px auto 0 auto;
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74 |
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padding: 12px 30px;
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75 |
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background-color: #3498db;
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76 |
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color: #fff;
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77 |
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font-size: 16px;
|
78 |
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font-weight: bold;
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79 |
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border: none;
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80 |
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border-radius: 8px;
|
81 |
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cursor: pointer;
|
82 |
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transition: background-color 0.3s;
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83 |
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}
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84 |
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85 |
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.submit-btn:hover {
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86 |
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background-color: #2980b9;
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87 |
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}
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88 |
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89 |
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h2 {
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90 |
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text-align: center;
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91 |
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margin-top: 25px;
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92 |
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color: #27ae60;
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93 |
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}
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94 |
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95 |
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@media (max-width: 768px) {
|
96 |
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.form-grid {
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97 |
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grid-template-columns: 1fr;
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98 |
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}
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99 |
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}
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100 |
+
</style>
|
101 |
+
</head>
|
102 |
+
|
103 |
+
<body>
|
104 |
+
<h1>Smart Manufacturing Machines Efficiency Prediction</h1>
|
105 |
+
|
106 |
+
<form method="post" class="form-container">
|
107 |
+
<div class="form-grid">
|
108 |
+
{% for feature in features %}
|
109 |
+
<div class="form-group">
|
110 |
+
<label for="{{ feature }}">{{ feature }}:</label>
|
111 |
+
<input type="text" name="{{ feature }}" placeholder="{{ placeholders[feature] }}" required>
|
112 |
+
|
113 |
+
</div>
|
114 |
+
{% endfor %}
|
115 |
+
</div>
|
116 |
+
|
117 |
+
<button type="submit" class="submit-btn">PREDICT</button>
|
118 |
+
</form>
|
119 |
+
|
120 |
+
{% if prediction %}
|
121 |
+
<h2>Prediction : {{ prediction }}</h2>
|
122 |
+
{% endif %}
|
123 |
+
</body>
|
124 |
+
|
125 |
+
</html>
|
126 |
+
|