app.py

import gradio as gr
from transformers import pipeline

# Step 3: Define the summarization function
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

def summarize(text):
    summary = summarizer(text, max_length=150, min_length=40, do_sample=False)
    return summary[0]['summary_text']

# Step 4: Create the Gradio interface
iface = gr.Interface(
    fn=summarize,
    inputs="textbox",
    outputs="textbox",
    title="Text Summarizer",
    description="Summarize text using the facebook/bart-large-cnn model from Hugging Face"
)

# Step 5: Launch the interface
iface.launch()