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t5-base-fine-tuned-on-jfleg / app.py

Ahsen Khaliq

Create app.py

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	import gradio as gr
	title = "t5-base-fine-tuned-on-jfleg"
	description = "Gradio Demo for T5-base model fine-tuned on the JFLEG dataset with the objective of text2text-generation. To use it, simply add your text, or click one of the examples to load them. Read more at the links below."
	article = "<p style='text-align: center'><a href='https://huggingface.co/Modfiededition/t5-base-fine-tuned-on-jfleg' target='_blank'>Huggingface Model</a></p>"
	examples = [
	['I am write on AI']
	]
	gr.Interface.load("huggingface/Modfiededition/t5-base-fine-tuned-on-jfleg", inputs=gr.inputs.Textbox(lines=5, label="Input Text"),title=title,description=description,article=article, examples=examples,enable_queue=True).launch()