autocorrect

def my_autocorrect(input_word):
    input_word = input_word.lower()
if input_word in V:
        return('Your word seems to be correct')
    else:
        similarities = [1-(textdistance.Jaccard(qval=2).distance(v,input_word)) for v in word_freq_dict.keys()]
        df = pd.DataFrame.from_dict(probs, orient='index').reset_index()
        df = df.rename(columns={'index':'Word', 0:'Prob'})
        df['Similarity'] = similarities
        output = df.sort_values(['Similarity', 'Prob'], ascending=False).head()
        return(output)