| !pip install transformers |
| !pip install gradio |
|
|
| import gradio as gr |
| from transformers import pipeline |
|
|
| summarizer = pipeline("summarization", model="facebook/bart-large-cnn") |
|
|
| def summarize_text(text): |
| summary = summarizer(text, max_length=200, min_length=100, do_sample=False) |
| return summary[0]['summary_text'] |
|
|
| demo = gr.Interface( |
| fn=summarize_text, |
| inputs=gr.Textbox(placeholder="Enter your text here", label="Input Text"), |
| outputs=gr.Textbox(label="Summary"), |
| title="Text Summarizer", |
| description="This chatbot takes a long text as input and returns a summary." |
| ) |
|
|
| demo.launch() |