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# app.py
import gradio as gr
from transformers import pipeline
# Choose model (either one of the two below)
model_name = "Falconsai/text_summarization" # or "facebook/bart-large-cnn"
summarizer = pipeline("summarization", model=model_name)
def summarize(text):
summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
return summary[0]["summary_text"]
iface = gr.Interface(
fn=summarize,
inputs=gr.Textbox(lines=10, placeholder="Enter long text here..."),
outputs=gr.Textbox(label="Summary"),
allow_flagging="never",
title="Text Summarizer"
)
iface.launch()
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