Spaces:
Running
Running
| import gradio as gr | |
| import transformers | |
| from transformers import BartTokenizer, BartForConditionalGeneration | |
| model_name = 'facebook/bart-large-cnn' | |
| tokenizer = BartTokenizer.from_pretrained(model_name) | |
| model = BartForConditionalGeneration.from_pretrained(model_name) | |
| def summarize(inp): | |
| inp = inp.replace('\n','') | |
| inp = tokenizer.encode(inp, return_tensors='pt', max_length=1024) | |
| summary_ids = model.generate(inp, num_beams=4, max_length=150, early_stopping=True) | |
| summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True) | |
| return summary | |
| gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=7, label="Input Text"), outputs="text").launch(inline=False) | |