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| from transformers import pipeline | |
| import gradio as gr | |
| model=pipeline("summarization") | |
| def predict(prompt): | |
| summary=model(prompt)[0]['summary_text'] | |
| return summary | |
| iface = gr.Interface(fn=predict, inputs="text", outputs="text") | |
| iface.launch() | |