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Upload 4 files
Browse files- app.py +41 -0
- spam.pkl +3 -0
- templates/index.html +94 -0
- vector.pkl +3 -0
app.py
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from flask import Flask, request, render_template
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import joblib
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import numpy as np
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# Initialize the Flask application
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app = Flask(__name__)
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# Load the trained model and TF-IDF vectorizer
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model = joblib.load('spam.pkl')
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vectorizer = joblib.load('vector.pkl')
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@app.route('/', methods=['GET', 'POST'])
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def index():
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if request.method == 'POST':
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# Get the comment from the form
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comment = request.form['comment']
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# Debug: Print the received comment
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print(f"Received comment: {comment}")
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# Transform the comment using the loaded vectorizer
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comment_transformed = vectorizer.transform([comment])
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# Debug: Print the transformed comment
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print(f"Transformed comment: {comment_transformed.toarray()}")
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# Predict using the loaded model
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prediction = model.predict(comment_transformed)
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# Debug: Print the prediction
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print(f"Prediction: {prediction}")
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# Determine if it's spam or not
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result = 'SPAM' if prediction == 'Spam' else 'NOT-SPAM'
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return render_template('index.html', comment=comment, result=result)
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return render_template('index.html')
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if __name__ == '__main__':
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app.run(debug=True)
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spam.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:972763aa315963feea4c13e302e16a04a411bb38d7163e93dca4cdfdeb49132a
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size 21607
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templates/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>Spam Comment Detection</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: #f4f4f9;
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margin: 0;
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padding: 0;
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 100vh;
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color: #333;
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}
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.container {
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background-color: #fff;
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padding: 20px;
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border-radius: 8px;
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box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
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max-width: 500px;
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width: 90%;
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text-align: center;
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animation: fadeIn 1s ease-in-out;
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}
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h1 {
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margin-bottom: 20px;
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}
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label {
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display: block;
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margin-bottom: 10px;
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font-weight: bold;
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}
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textarea {
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width: 100%;
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padding: 10px;
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border-radius: 5px;
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border: 1px solid #ccc;
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margin-bottom: 20px;
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resize: vertical;
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min-height: 100px;
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transition: all 0.3s ease;
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}
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textarea:focus {
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border-color: #007BFF;
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box-shadow: 0 0 8px rgba(0, 123, 255, 0.2);
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}
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input[type="submit"] {
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background-color: #007BFF;
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color: white;
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border: none;
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padding: 10px 20px;
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border-radius: 5px;
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cursor: pointer;
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font-size: 16px;
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transition: background-color 0.3s ease;
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}
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input[type="submit"]:hover {
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background-color: #0056b3;
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}
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.result {
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margin-top: 20px;
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font-size: 18px;
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animation: fadeIn 1s ease-in-out;
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}
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@keyframes fadeIn {
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from {
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opacity: 0;
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}
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to {
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opacity: 1;
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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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<div class="container">
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<h1>Spam Comment Detection</h1>
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<form method="POST">
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<label for="comment">Enter your comment:</label>
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<textarea id="comment" name="comment" rows="1" cols="1" placeholder="Type your comment here..."></textarea><br>
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<input type="submit" value="Check">
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</form>
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{% if result %}
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<div class="result">
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<h2>Result: {{ result }}</h2>
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</div>
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{% endif %}
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</div>
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</body>
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</html>
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vector.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:5e2ca94b965ba804d25758adf1f1aba9f70820111e84e934eb5f62ee6b2eee72
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size 7540
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