Update
Browse files- Dockerfile +11 -0
- app.py +57 -0
- index.html +47 -0
- requirements.txt +4 -0
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 5000
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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 transformers import pipeline
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app = Flask(__name__)
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# Load the models
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translator = pipeline("translation_en_to_fr", model="Mr-Vicky-01/Fine_tune_english_to_tamil")
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sentiment_analyzer = pipeline("sentiment-analysis")
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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# Define the functions
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def translate_text(text):
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result = translator(text)
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return result[0]['translation_text']
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def summarize_text(text):
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result = summarizer(text)
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return result[0]['summary_text']
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def analyze_sentiment(text):
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result = sentiment_analyzer(text)
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label = result[0]['label']
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score = round(result[0]['score'], 3)
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if label == 'POSITIVE':
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return 'Happy'
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elif label == 'NEGATIVE':
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return 'Unhappy'
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return 'Neutral'
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# Home route
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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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# Translation route
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@app.route('/translate', methods=['POST'])
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def translate():
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input_text = request.form['input_text']
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translated_text = translate_text(input_text)
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return render_template('index.html', translated_text=translated_text)
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# Summarization route
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@app.route('/summarize', methods=['POST'])
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def summarize():
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input_text = request.form['input_summary']
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summary_text = summarize_text(input_text)
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return render_template('index.html', summary_text=summary_text)
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# Sentiment Analysis route
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@app.route('/sentiment', methods=['POST'])
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def sentiment():
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input_text = request.form['input_sentiment']
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sentiment_result = analyze_sentiment(input_text)
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return render_template('index.html', sentiment_result=sentiment_result)
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if __name__ == '__main__':
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app.run(debug=True)
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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>Text Pipeline</title>
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</head>
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<body>
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<h1>Text Pipeline: Translation, Summarization, and Sentiment Analysis</h1>
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<!-- Translation Section -->
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<h2>Translation</h2>
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<form method="POST" action="/translate">
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<label for="input_text">Enter text for translation:</label>
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<input type="text" id="input_text" name="input_text" required>
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<button type="submit">Translate</button>
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</form>
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{% if translated_text %}
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<h3>Translated Text:</h3>
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<p>{{ translated_text }}</p>
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{% endif %}
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<!-- Summarization Section -->
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<h2>Summarization</h2>
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<form method="POST" action="/summarize">
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<label for="input_summary">Enter text for summarization:</label>
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<input type="text" id="input_summary" name="input_summary" required>
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<button type="submit">Summarize</button>
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</form>
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{% if summary_text %}
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<h3>Summarized Text:</h3>
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<p>{{ summary_text }}</p>
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{% endif %}
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<!-- Sentiment Analysis Section -->
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<h2>Sentiment Analysis</h2>
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<form method="POST" action="/sentiment">
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<label for="input_sentiment">Enter text for sentiment analysis:</label>
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<input type="text" id="input_sentiment" name="input_sentiment" required>
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<button type="submit">Analyze Sentiment</button>
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</form>
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{% if sentiment_result %}
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<h3>Sentiment Analysis Result:</h3>
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<p>{{ sentiment_result }}</p>
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{% endif %}
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</body>
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</html>
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requirements.txt
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+
Flask
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| 2 |
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transformers
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+
torch
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sentencepiece
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