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import gradio as gr | |
import torch | |
# Use a pipeline as a high-level helper | |
from transformers import pipeline | |
text_summary = pipeline("summarization", model="philschmid/distilbart-cnn-12-6-samsum") | |
# model_path = "text summarizer/models/models--philschmid--distilbart-cnn-12-6-samsum/snapshots/d8bbb0012bd874c792577caeaab58b6f72f64e2f" | |
# text_summary = pipeline("summarization", model=model_path, | |
# torch_dtype=torch.bfloat16) | |
# text = "Elon Reeve Musk (lɒn/ EE-lon; born June 28, 1971) is a businessman and investor. He is the founder, chairman, CEO, and CTO of SpaceX; angel investor, CEO, product architect, and former chairman of Tesla, Inc.; owner, executive chairman, and CTO of X Corp.; founder of the Boring Company and xAI; co-founder of Neuralink and OpenAI; and president of the Musk Foundation. He is one of the wealthiest people in the world; as of April 2024, Forbes estimates his net worth to be $178 billion.[4]" | |
# result = text_summary(text) | |
# print(result[0]["summary_text"]) | |
def summary (input): | |
output = text_summary(input) | |
return output[0]['summary_text'] | |
gr.close_all() | |
# demo = gr.Interface(fn = summary, inputs = "text" , outputs = "text") | |
demo = gr.Interface (fn = summary , | |
inputs = [gr.Textbox(label = "Input text to summarize." , lines = 6)], | |
outputs = [gr.Textbox(label = "Summarized Text", lines = 4)], | |
title = "PROJECT 1 : text summarizer", | |
description = "This applicating will be used to summarize text" | |
) | |
demo.launch() | |