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import gradio as gr
import fasttext
import fasttext.util
fasttext.util.download_model('fa', if_exists='ignore') # E Arabic
ft = fasttext.load_model('cc.fa.300.bin')
#ft = fasttext.load_model('cc.arz.300.bin')
fasttext.util.reduce_model(ft, 100)
def getVectors(fname):
data = {}
data[tokens[0]] = ft.get_nearest_neighbors(fname, k=1)
return data
interface = gr.Interface(fn = getVectors,
inputs = "text",
outputs = ['text'],
title = 'Get Nearest Neighbors',
description = 'Get resultss for search')
interface.launch(inline = False) |