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Upload 6 files
Browse files- Dockerfile +17 -0
- app.py +75 -0
- requirements.txt +9 -0
- templates/document.html +101 -0
- templates/home.html +189 -0
- tokenizer.pickle +3 -0
Dockerfile
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# Use a base image with Python
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FROM python:3.9
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# Set the working directory
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WORKDIR /app
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# Copy all files to the container
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COPY . .
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# Install dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Expose port (Hugging Face requires port 7860)
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EXPOSE 7860
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# Run Flask
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CMD ["python", "app.py"]
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app.py
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from flask import Flask, render_template, request
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from keras.models import load_model
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from tensorflow.keras.preprocessing.sequence import pad_sequences
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import numpy as np
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import pickle
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import time
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import os
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import kagglehub
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# Download latest version
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model_folder = kagglehub.model_download("saurabhmaulekhi/next_word_prediction/keras/version-1")
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files_in_folder = os.listdir(model_folder)
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model_name = files_in_folder[0]
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model_path = os.path.join(model_folder,model_name)
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model = load_model(model_path)
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with open("tokenizer.pickle", 'rb') as handle:
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tokenizer = pickle.load(handle)
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app = Flask(__name__)
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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('/home')
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def home_click():
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return render_template('home.html')
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@app.route('/', methods=['GET', 'POST'])
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def predict_show():
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if request.method == 'POST':
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try:
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user_input = request.form['user_input']
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num_of_words = int(request.form['num'])
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result = prediction(user_input, num_of_words)
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except ValueError:
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result = "Invalid input. Please enter a number."
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return render_template('home.html', result=result)
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@app.route('/document')
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def document():
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return render_template('document.html')
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def prediction(text, no_of_words):
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sentence = []
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sentence.append(text+" ")
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for i in range(no_of_words):
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# tokenize
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token_text = tokenizer.texts_to_sequences([text])[0]
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# padding
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padded_token_text = pad_sequences([token_text], maxlen=56, padding='pre')
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# predict
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pos = np.argmax(model.predict(padded_token_text)) ## predicting new word
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for word, index in tokenizer.word_index.items():
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if index == pos:
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text = word
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sentence.append(text)
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sentence.append(" ")
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sentence.pop()
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return sentence
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# for i in sentence:
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# print(i, end=" ")
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# time.sleep(0.6) ## time in seconds to predict new word
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=7860)
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requirements.txt
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flask
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keras.models
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tensorflow.keras.preprocessing.sequence
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numpy
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pickle
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time
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os
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gunicorn
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kagglehub
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templates/document.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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<title>Title</title>
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<style>
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.body {
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width: 1480px; /* Set width to 300 pixels */
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height: 700px; /* Set height to 200 pixels */
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background: rgb(48,18,115);
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background: linear-gradient(180deg, rgba(48,18,115,1) 20%, rgba(53,51,205,1) 48%, rgba(35,18,122,1) 91%);
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padding: 10px; /* Add some padding inside the div */
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}
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#nav_bar {
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background-color: #f64848;
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overflow: hidden;
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border: 3px solid black;
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}
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.outer-box {
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position: relative; /* Necessary for positioning relative to this element */
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display: inline-block; /* Make the outer box inline-block to allow positioning relative to it */
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padding: 5px 10px;
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border: 3px solid black;
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background-color: #f64848;
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margin-left: 350px;
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margin-bottom: 5px;
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border-radius: 30px; /* Add rounded corners */
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}
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#nav_bar ul {
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list-style: none;
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margin: 0;
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padding: 0;
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display: flex; /* This is the key to display items in a line */
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}
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#nav_bar li {
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float: left; /* Alternatively, use 'display: inline-block;' */
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}
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#nav_bar a {
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display: block;
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color: white;
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text-decoration: none;
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padding: 14px 16px;
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}
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#nav_bar a:hover {
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border: 1px solid black;
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background-color: #ff914d;
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}
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#docs ul {
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margin: 30px;
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padding: 10px;
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}
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#docs a {
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width: 350px;
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margin:20px;
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padding: 40px;
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height: 10px;
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display: block;
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background-color: #ff914d;
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color: black;
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text-decoration: none;
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padding: 14px 16px;
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}
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#docs a:hover {
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border: 1px solid black;
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background-color: #f64848;
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}
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h1{
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background-color: #ff914d;
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position: 100; /* Necessary for absolute positioning of the inner box */
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}
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</style>
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</head>
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<body class="body">
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<div class="outer-box"><h1> Next Word Prediction With 75% Accuracy </h1> </div>
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<nav id="nav_bar">
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<ul>
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<li><a href="/home">Home</a></li>
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<li><a href="/document">Documentation</a></li>
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</ul>
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</nav>
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<nav id="docs">
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<ul>
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<li><a href="https://www.kaggle.com/"><b>RNN, LSTM, GRU, BILSTM, BiGRU Notes</b></a></li>
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<li><a href="https://www.kaggle.com/"><b>ML Model Deployment (Kaggle NoteBook)</b></a></li>
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<li><a href="#"><b>Github Repo</b></a></li>
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</ul>
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</nav>
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</body>
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</html>
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templates/home.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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| 5 |
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<style>
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| 6 |
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.outer-box {
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| 7 |
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position: relative; /* Necessary for positioning relative to this element */
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| 8 |
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display: inline-block; /* Make the outer box inline-block to allow positioning relative to it */
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| 9 |
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padding: 5px 10px;
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| 10 |
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border: 3px solid black;
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| 11 |
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background-color: #f64848;
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margin-left: 350px;
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| 13 |
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margin-bottom: 5px;
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| 14 |
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border-radius: 30px; /* Add rounded corners */
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}
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| 16 |
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h1{
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background-color: #ff914d;
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| 19 |
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position: 100; /* Necessary for absolute positioning of the inner box */
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}
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| 21 |
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nav {
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| 23 |
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background-color: #f64848;
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| 24 |
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overflow: hidden;
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| 25 |
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border: 3px solid black;
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| 26 |
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}
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|
| 28 |
+
nav ul {
|
| 29 |
+
list-style: none;
|
| 30 |
+
margin: 0;
|
| 31 |
+
padding: 0;
|
| 32 |
+
display: flex; /* This is the key to display items in a line */
|
| 33 |
+
}
|
| 34 |
+
|
| 35 |
+
nav li {
|
| 36 |
+
float: left; /* Alternatively, use 'display: inline-block;' */
|
| 37 |
+
}
|
| 38 |
+
|
| 39 |
+
nav a {
|
| 40 |
+
display: block;
|
| 41 |
+
color: white;
|
| 42 |
+
text-decoration: none;
|
| 43 |
+
padding: 14px 16px;
|
| 44 |
+
}
|
| 45 |
+
|
| 46 |
+
nav a:hover {
|
| 47 |
+
border: 1px solid black;
|
| 48 |
+
background-color: #ff914d;
|
| 49 |
+
}
|
| 50 |
+
|
| 51 |
+
.txt{
|
| 52 |
+
font-size: 24px;
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
.body {
|
| 56 |
+
width: 1480px; /* Set width to 300 pixels */
|
| 57 |
+
height: 700px; /* Set height to 200 pixels */
|
| 58 |
+
background: rgb(48,18,115);
|
| 59 |
+
background: linear-gradient(180deg, rgba(48,18,115,1) 20%, rgba(53,51,205,1) 48%, rgba(35,18,122,1) 91%);
|
| 60 |
+
padding: 10px; /* Add some padding inside the div */
|
| 61 |
+
}
|
| 62 |
+
|
| 63 |
+
form{
|
| 64 |
+
margin-top: 20px;
|
| 65 |
+
width: 500px; /* Set width to 300 pixels */
|
| 66 |
+
height: 150px; /* Set height to 200 pixels */
|
| 67 |
+
background-color: #f64848;
|
| 68 |
+
padding: 20px; /* Add padding around the form */
|
| 69 |
+
border: 3px solid black; /* Add a border around the form */
|
| 70 |
+
border-radius: 40px; /* Add rounded corners */
|
| 71 |
+
}
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
#submit{
|
| 75 |
+
background-color: #ff914d;
|
| 76 |
+
border: 2px solid black;
|
| 77 |
+
color: white;
|
| 78 |
+
padding: 5px 15px;
|
| 79 |
+
text-align: center;
|
| 80 |
+
text-decoration: none;
|
| 81 |
+
display: inline-block;
|
| 82 |
+
font-size: 16px;
|
| 83 |
+
border-radius: 4px;
|
| 84 |
+
margin-left: 100px;
|
| 85 |
+
margin-top: 15px;
|
| 86 |
+
}
|
| 87 |
+
|
| 88 |
+
|
| 89 |
+
#display_outer{
|
| 90 |
+
margin-top: 20px;
|
| 91 |
+
width: 650px;
|
| 92 |
+
height: 250px;
|
| 93 |
+
background-color: #f64848;
|
| 94 |
+
padding: 20px;
|
| 95 |
+
border: 3px solid black;
|
| 96 |
+
border-radius: 40px;
|
| 97 |
+
margin-left: 400px;
|
| 98 |
+
}
|
| 99 |
+
|
| 100 |
+
#display{
|
| 101 |
+
margin-top: 40px;
|
| 102 |
+
margin-left: 100px;
|
| 103 |
+
width: 500px;
|
| 104 |
+
height: 120px;
|
| 105 |
+
font-size: 24px;
|
| 106 |
+
font-weight: bold;
|
| 107 |
+
background-color: #c84646;
|
| 108 |
+
padding: 20px;
|
| 109 |
+
border: 3px solid black;
|
| 110 |
+
border-radius: 40px;
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
#predictions{
|
| 114 |
+
background-color: #ff914d;
|
| 115 |
+
margin-top : 2px;
|
| 116 |
+
padding: 3px;
|
| 117 |
+
width: 150px;
|
| 118 |
+
height: 30px;
|
| 119 |
+
font-size: 22px;
|
| 120 |
+
border-radius: 10px;
|
| 121 |
+
border: 2px solid black;
|
| 122 |
+
color: white;
|
| 123 |
+
}
|
| 124 |
+
</style>
|
| 125 |
+
|
| 126 |
+
<meta charset="UTF-8">
|
| 127 |
+
<title>Next Word Prediction</title>
|
| 128 |
+
</head>
|
| 129 |
+
<body class="body">
|
| 130 |
+
<div class="outer-box"><h1> Next Word Prediction With 75% Accuracy </h1> </div>
|
| 131 |
+
<nav>
|
| 132 |
+
<ul>
|
| 133 |
+
<li><a href="/home">Home</a></li>
|
| 134 |
+
<li><a href="/document">Documentation</a></li>
|
| 135 |
+
|
| 136 |
+
</ul>
|
| 137 |
+
</nav>
|
| 138 |
+
|
| 139 |
+
<form action="/" method="POST" class="form">
|
| 140 |
+
<label class="txt" for="user_input"><b>Give the initial word: </b></label>
|
| 141 |
+
<input type="text" id="user_input" name="user_input" class="form-control" placeholder="Enter the initial word">
|
| 142 |
+
<br><br>
|
| 143 |
+
<label class="txt" for="num"> <b>Number of Words to Predict: </b></label>
|
| 144 |
+
<select name="num" id="num">
|
| 145 |
+
<option value="1">1</option>
|
| 146 |
+
<option value="2">2</option>
|
| 147 |
+
<option value="3">3</option>
|
| 148 |
+
<option value="4">4</option>
|
| 149 |
+
<option value="5">5</option>
|
| 150 |
+
<option value="6">6</option>
|
| 151 |
+
<option value="7">7</option>
|
| 152 |
+
<option value="8">8</option>
|
| 153 |
+
<option value="9">9</option>
|
| 154 |
+
<option value="10">10</option>
|
| 155 |
+
</select>
|
| 156 |
+
<br><br>
|
| 157 |
+
<input id="submit" type="submit" value="Submit">
|
| 158 |
+
</form>
|
| 159 |
+
|
| 160 |
+
<div id="display_outer">
|
| 161 |
+
<p id="predictions"><b>Predictions:</b></p>
|
| 162 |
+
<div id="display">
|
| 163 |
+
</div>
|
| 164 |
+
</div>
|
| 165 |
+
|
| 166 |
+
{% if result is defined %}
|
| 167 |
+
<script>
|
| 168 |
+
const myList = {{ result | tojson }};
|
| 169 |
+
let currentIndex = 0;
|
| 170 |
+
const displayDiv = document.getElementById('display');
|
| 171 |
+
|
| 172 |
+
function displayElement() {
|
| 173 |
+
if (myList.length === 0) {
|
| 174 |
+
displayDiv.textContent = "No predictions found.";
|
| 175 |
+
} else {
|
| 176 |
+
if (currentIndex < myList.length) {
|
| 177 |
+
displayDiv.textContent += myList[currentIndex] + " ";
|
| 178 |
+
currentIndex++;
|
| 179 |
+
setTimeout(displayElement,100);
|
| 180 |
+
}
|
| 181 |
+
}
|
| 182 |
+
}
|
| 183 |
+
window.onload = displayElement;
|
| 184 |
+
</script>
|
| 185 |
+
{% else %}
|
| 186 |
+
|
| 187 |
+
{% endif %}
|
| 188 |
+
</body>
|
| 189 |
+
</html>
|
tokenizer.pickle
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06eaaa88deaaa69d9241e0ae5f7684b125fdfd80b96463ded339878fa5d5f5e4
|
| 3 |
+
size 356388
|