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import gradio as gr | |
import fastbook | |
from fastbook import * | |
from pathlib import Path | |
from fastai.text.all import * | |
fastbook.setup_book() | |
learn = load_learner('export.pkl') | |
def reviews_generator(text,n_words): | |
preds = learn.predict(text, n_words) | |
return outputs | |
examples = [["The beauty of this books", "45"], ["I didn't like this book because", "30"]] | |
demo = gr.Interface(fn=reviews_generator, | |
inputs=[gr.Textbox(lines=2, placeholder="Enter the beginning of the book review here", label="Sample text"), gr.Textbox(lines=1, label="Length of generated text")], | |
outputs=[gr.Textbox(label="Sample text")], | |
examples=examples) | |
demo.launch( debug = True ) |