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import gradio as gr | |
from fastai.text.all import * | |
learn = load_learner('export.pkl') | |
def reviews_generator(text, n_words): | |
preds = learn.predict(text, n_words) | |
return preds | |
examples = [["The beauty of this book", 45], ["I didn't like this book because", 30]] | |
gr.Interface(fn = reviews_generator, | |
title = "Book reviews generator", | |
description = "Type the beginning of a review, and the machine will generate a full review.", | |
inputs = [gr.Textbox(lines=1, placeholder="Enter the beginning of the review here", label="Starter text"), | |
gr.Slider(0, 100, label="Length of desired review")], | |
outputs = gr.outputs.Textbox(label="Generated Text"), | |
examples = examples | |
).launch(share=False) | |