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from transformers import pipeline
import gradio as gr
model = pipeline(
"summarization",
)
def predict(prompt):
#summary = model(prompt)[0]["summary_text"]
summarizer = pipeline(“summarization”, model=”t5-base”, tokenizer=”t5-base”, framework=”tf”)
summary=summarizer(context, max_length=130, min_length=60)
return summary
# create an interface for the model
with gr.Interface(predict, "textbox", "text") as interface:
interface.launch()
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