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import gradio as gr
from transformers import pipeline
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
#hub_model_id = "huggingface-course/mt5-small-finetuned-amazon-en-es"
model_id = "philschmid/bart-large-cnn-samsum"
#model_id = "t5-base"
summarizer = pipeline("summarization", model=model_id)
def summarize(text):
#return "Summary: " + text
out = summarizer_bart(text, max_length=70, min_length = 35)
return "Summary: " + str(out)
iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
iface.launch() |