Update app.py
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app.py
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-cnn")
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model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-cnn")
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def text_summarize(article):
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inputs = tokenizer(article, return_tensors = 'pt')
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output = model.generate(inputs.input_ids,
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max_new_tokens = 200,
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do_sample = True,
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top_p = 0.9,
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top_k = 50)
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output_text = tokenizer.decode(output[0], skip_special_tokens=True)
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return output_text
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iface = gr.Interface(
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fn = text_summarize,
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inputs = gr.Textbox(label = "Article", lines = 8, placeholder = "Paste your text here.."),
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outputs = gr.Textbox(label = "Summarized Text", lines = 5)
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)
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iface.launch()
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