Sentiment analysis

import requests
import win32com.client as wincl


def translate(txt):
    compose_url = "https://translate.yandex.net/api/v1.5/tr.json/translate?key={api_key}&text={text}&lang=pt-en".format(
                    api_key='',
                    text=txt)
    try:
        return requests.get(compose_url).json()['text'][0], txt
    except Exception as e:
        raise e

def sentiment(txt, txtcopy):
    compose_url = "https://text-sentiment.p.mashape.com/analyze"
    try:
        r = requests.post(compose_url,
                            headers={'X-Mashape-Key': '',
                                        'Content-Type': 'application/x-www-form-urlencoded',
                                        'Accept': 'application/json'},
                            params={"text": txt}).json()
        n, ng, p = r['mid_percent'], r['neg_percent'], r['pos_percent']
        return 'A frase "{}" é {} neutra, {} negativa e {} positiva'.format(txtcopy, n, ng, p)
    except Exception as e:
        raise e


speak = wincl.Dispatch("SAPI.SpVoice")
while 1:
    txt = input("Digite a frase: ")
    translated, txtcopy = translate(txt)
    speak.Speak(sentiment(translated, txtcopy))