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import gradio as gr
from transformers import pipeline
import csv
foo = "An"
bar = None
baz = "Example"
fields = [foo, bar, baz]
#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
text = str(text)
generated_summary = summarizer(text, max_length=150, min_length = 10)
fields = [text, generated_summary]
with open('input.csv','a', newline='') as f:
writer = csv.writer(f)
writer.writerow(fields)
lines = "(lines)"
f = open('input.csv',"r")
lines = f.readlines()
#print(lines)
return "Summary: " + str(generated_summary) + "\n\n" + str(lines)
iface = gr.Interface(fn=summarize, inputs="text", outputs="text")
iface.launch() |