| #Code adapted from: https://huggingface.co/spaces/mca183/text-summarization-distilbart-cnn/blob/main/app.py | |
| import gradio as gr | |
| from transformers import pipeline | |
| get_completion = pipeline("summarization", model="PhLoDuTi/tns_ft5tech") | |
| def summarize(input): | |
| output = get_completion(input) | |
| return output[0]['summary_text'] | |
| demo = gr.Interface(fn=summarize, | |
| inputs=[gr.Textbox(label="TNS Demo", lines=6)], | |
| outputs=[gr.Textbox(label="Result", lines=3)], | |
| title="Text summarization", | |
| description="Put in any tech news article here.") | |
| demo.launch(share=True) |