Text_Summarizer / app.py
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from transformers import pipeline
import gradio as gr
summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True, framework="tf")
def translate(text):
text = text.replace(""", '"')
text = text.replace("'", "'")
text = text.replace("&", "&")
result = summarizer(text, min_length=180, truncation=True)
return result[0]["summary_text"]
iface = gr.Interface(
fn=translate,
inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."),
outputs="text"
)
iface.launch()