Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load summarization
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english_summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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arabic_summarizer = pipeline("summarization", model="eslamxm/mt5-base-finetuned-persian-finetuned-persian-arabic")
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summary = english_summarizer(text, max_length=130, min_length=30, do_sample=False)
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return str(summary[0]['summary_text'])
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elif language == 'Arabic':
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summary = arabic_summarizer(text, max_length=130, min_length=30, do_sample=False)
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return str(summary[0]['summary_text'])
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else:
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return "Unsupported Language"
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with gr.Column():
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english_input = gr.Textbox(label="Enter English Text", placeholder="Type or paste your English text here...", lines=10)
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english_button = gr.Button("Summarize English")
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english_output = gr.Textbox(label="English Summary", interactive=False)
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# Launch the interface
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if __name__ == "__main__":
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from transformers import pipeline
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import gradio as gr
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import torch
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import time # To simulate processing time for demonstration
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# Load the summarization pipelines
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arabic_summarizer = pipeline("summarization", model="eslamxm/mt5-base-finetuned-persian-finetuned-persian-arabic")
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english_summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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# Initialize the current language
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current_language = 'Arabic'
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def summarize(text, max_length, min_length, progress=gr.Progress()):
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global current_language
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# Simulate a delay to show the progress bar
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for step in range(10):
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time.sleep(0.1) # Simulating processing time
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progress(step / 10) # Update the progress bar
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# Select the summarizer based on the current language
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if current_language == 'Arabic':
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summary = arabic_summarizer(text, max_length=max_length, min_length=min_length, do_sample=False)[0]['summary_text']
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else:
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summary = english_summarizer(text, max_length=max_length, min_length=min_length, do_sample=False)[0]['summary_text']
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return summary
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def toggle_language():
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global current_language
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if current_language == 'Arabic':
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current_language = 'English'
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return "Switched to English summarization."
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else:
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current_language = 'Arabic'
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return "Switched to Arabic summarization."
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# Custom CSS for the progress bar with animations
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custom_css = """
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body {
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background: linear-gradient(135deg, #667eea, #764ba2);
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font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
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color: #333;
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margin: 0;
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padding: 0;
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}
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.gradio-container {
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background: rgba(255, 255, 255, 0.95);
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border-radius: 15px;
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padding: 30px 40px;
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box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3);
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margin: 40px auto;
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max-width: 1200px;
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}
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.gradio-container h1 {
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color: #333;
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text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.2);
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}
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.fillable {
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width: 95% !important;
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max-width: unset !important;
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}
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#examples_container {
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margin: auto;
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width: 90%;
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}
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#examples_row {
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justify-content: center;
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}
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.sidebar {
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background: rgba(255, 255, 255, 0.98);
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border-radius: 10px;
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padding: 20px;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
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}
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button, .btn {
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background: linear-gradient(90deg, #ff8a00, #e52e71);
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border: none;
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color: #fff;
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padding: 12px 24px;
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text-transform: uppercase;
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font-weight: bold;
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letter-spacing: 1px;
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border-radius: 5px;
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cursor: pointer;
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transition: transform 0.2s ease-in-out;
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}
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button:hover, .btn:hover {
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transform: scale(1.05);
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}
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"""
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# Create the Gradio interface
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with gr.Blocks(css=custom_css) as interface:
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gr.Markdown("<h1 style='text-align: center;'>Text Summarization Tool</h1>")
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text_input = gr.Textbox(label="Enter Text Here", lines=8, text_align="right")
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max_length = gr.Slider(minimum=80, maximum=200, value=100, step=1, label="Max Summary Length")
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min_length = gr.Slider(minimum=5, maximum=50, value=20, step=1, label="Min Summary Length")
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summarize_button = gr.Button("Summarize")
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language_button = gr.Button("Switch Language")
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summary_output = gr.Textbox(label="Summary", lines=6, text_align="right")
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summarize_button.click(summarize, inputs=[text_input, max_length, min_length], outputs=summary_output)
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language_button.click(toggle_language, outputs=summary_output)
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if __name__ == "__main__":
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interface.launch()
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