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| import gradio as gr | |
| from transformers import pipeline | |
| # Load summarization pipeline | |
| summarizer = pipeline("summarization", model="facebook/bart-large-cnn") | |
| # Define summarization function | |
| def summarize_text(text): | |
| summary = summarizer(text, max_length=130, min_length=30, do_sample=False) | |
| return summary[0]["summary_text"] | |
| # Define Gradio interface | |
| title = "📝 SmartSummarizer – Real-Time Text Summarization App" | |
| user_instructions = """ | |
| Welcome to SmartSummarizer! ✨ | |
| Paste a paragraph, article, or long-form English content (ideally 50–300 words). | |
| The model will return a short, readable summary. | |
| ✅ Best for **news**, **science**, **education**, **business**, or **blog-style** content. | |
| 🌐 Model works only with English input. | |
| ⚠️ Avoid one-liners or grammatically broken input. | |
| """ | |
| # Placeholder example | |
| example_text = """Artificial intelligence is transforming industries by automating tasks, | |
| improving decision-making, and creating new opportunities in sectors such as healthcare, | |
| finance, and transportation. However, experts caution that without proper regulation, | |
| AI could also lead to job displacement, bias in decision-making systems, | |
| and ethical concerns regarding data privacy and accountability.""" | |
| # Launch interface | |
| demo = gr.Interface( | |
| fn=summarize_text, | |
| inputs=gr.Textbox(lines=15, placeholder="Paste your article or paragraph here...", label="Enter Text to Summarize"), | |
| outputs=gr.Textbox(label="Generated Summary"), | |
| title=title, | |
| description=user_instructions, | |
| examples=[[example_text]], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch() | |