app.py

from fastai.text.all import *
import gradio as gr

model = load_learner("llmf.pkl")
def txt_gen(txt, n_words=45, n_sents=2):
    a = [model.predict(txt,n_words,temperature=0.9) for _ in range(n_sents)]
    return "\n".join(a)

sents = gr.components.Textbox()
outs = gr.components.Textbox()
examples=["جنگ جهانی دوم رو " ,"شعر و شاعری "]
intf = gr.Interface(fn=txt_gen, inputs=sents, outputs=outs, examples=examples)
intf.launch(inline=False)