app.py

from transformers import pipeline
import gradio as gr

# Initialize the summarizer pipeline
summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True, framework="tf")

def summarize(text):
    # Replace HTML entities
    text = text.replace('"', '"')
    text = text.replace(''', "'")
    text = text.replace('&', "&")
    # Summarize the text
    result = summarizer(text, min_length=100, truncation=True)
    return result[0]["summary_text"]

# Define the Gradio interface
iface = gr.Interface(
    fn=summarize,
    inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."),
    outputs="text"
)

# Launch the Gradio interface
iface.launch()