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from transformers import pipeline
import gradio as gr
# Path to our model on Hugging Face Hub
model_path = "umaru97/gpt2-product-review-generation"
# Load model from hub and create a text-generation pipeline
get_completion = pipeline("text-generation", model=model_path)
def text_generation(input):
output = get_completion(input)
return output[0]['generated_text']
gr.close_all()
demo = gr.Interface(fn=text_generation,
inputs=[gr.Textbox(label="Text to start", lines=1)],
outputs=[gr.Textbox(label="Result", lines=3)],
title="Text generation with GPT-2",
description="This demo would generate TV and tablet product reviews.",
examples=['The TV', 'The tablet']
)
demo.launch() |