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import gradio as gr
from transformers import pipeline
# Load the summarization model from Hugging Face
summarizer = pipeline("summarization")
# Define the summarization function
def summarize_text(input_text):
summarized = summarizer(input_text, max_length=100, min_length=30, do_sample=False)[0]
return summarized["summary_text"]
# Create the Gradio interface
iface = gr.Interface(
fn=summarize_text,
inputs=gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize..."),
outputs=gr.outputs.Textbox(placeholder="Summary will appear here...")
)
# Run the interface
iface.launch()
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