Upload 3 files
Browse files- .gitattributes +1 -0
- IMDB/imdb-002.keras +3 -0
- IMDB/imdb_prediction(flask).py +41 -0
- IMDB/templates/index.html +29 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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imdb-002.keras filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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imdb-002.keras filter=lfs diff=lfs merge=lfs -text
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IMDB/imdb-002.keras filter=lfs diff=lfs merge=lfs -text
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IMDB/imdb-002.keras
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version https://git-lfs.github.com/spec/v1
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oid sha256:856d9433af1a4d677ed11613cad81effd81460a4d1fb469c116ae4d85b5a3c3c
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size 17628414
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IMDB/imdb_prediction(flask).py
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from flask import Flask, render_template, request
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import numpy as np
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from tensorflow.keras.models import load_model
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from tensorflow.keras.preprocessing.sequence import pad_sequences
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from tensorflow.keras.preprocessing.text import tokenizer_from_json
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import json
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app = Flask(__name__)
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model = load_model('imdb-002.keras')
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with open('D:\Python_vscode\jupyter_notebook\imdb.json') as file:
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imdb = file.read()
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token = tokenizer_from_json(imdb)
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def preprocess_text(text, max_length=20):
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sequ = token.texts_to_sequences([text])
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pad = pad_sequences(sequ, maxlen = max_length, padding = 'post', truncating = 'post')
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return pad
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@app.route('/')
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def home():
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return render_template('index.html')
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@app.route('/predict', methods =['POST'])
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def predict():
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review = request.form['review']
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processed_review = preprocess_text(review)
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prediction = model.predict(processed_review)[0][0]
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if prediction >= 0.5:
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sentiment = "Positive"
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else:
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"Negative"
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return render_template('index.html', review=review, sentiment=sentiment, probability=round(prediction,2))
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if __name__ == '__main__':
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app.run(debug=True)
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IMDB/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>Movie Review Sentiment Analysis</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css">
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</head>
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<body class="bg-light">
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<div class="container mt-5">
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<h2 class="text-center">IMDb Sentiment Analysis</h2>
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<form action="/predict" method="post" class="mt-4">
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<div class="mb-3">
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<textarea class="form-control" name="review" rows="4" placeholder="Enter your movie review here " required></textarea>
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</div>
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<button type="submit" class="btn btn-primary w-100">Analyze</button>
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</form>
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{% if review %}
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<div class="mt-4 p-3 bg-white shadow-sm rounded">
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<h5>Your Review:</h5>
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<p>{{ review }}</p>
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<h5>Sentiment Prediction:</h5>
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<p class="fw-bold">{{ sentiment }} (Confidence: {{ probability }})</p>
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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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