Script that synthesizes EasyApple intros with Azure's text-to-speech APIs

Script that synthesizes EasyApple intros with Azure's text-to-speech APIs · GitHub

import requests

def getToken(): req = requests.post("https://westeurope.api.cognitive.microsoft.com/sts/v1.0/issuetoken", headers={"Ocp-Apim-Subscription-Key": "YOUR_AZURE_API_KEY_HERE"}, )

return req.text def textToMp3(text, voice="it-IT-ElsaNeural"): headers = { "Authorization": f"Bearer: {getToken()}", "Content-Type": "application/ssml+xml", "X-Microsoft-OutputFormat": "audio-24khz-160kbitrate-mono-mp3", "User-Agent": "IntroEasyApple Python 0.1" } req = requests.post("https://westeurope.tts.speech.microsoft.com/cognitiveservices/v1", headers=headers, data=f"""<speak version='1.0' xml:lang='it-IT'><voice xml:lang='it-iT' xml:gender='Female' name='it-IT-ElsaNeural'> {text} </voice></speak>""" )

return req.content

def getLastEpisodeNumber(show="easyapple"): req = requests.get(f"https://www.easypodcast.it/api/v1/show/{show}/lastEpisode") response = req.json()

return int(response['episode']['episode_number'])

def getNextEpisodeNumber(show="easyapple"): return getLastEpisodeNumber(show) + 1

next_episode_number = getNextEpisodeNumber() donatori = "Luca Z., Federico F." # ultimi_donatori.main() # This is the actual function you don't have access to...

print(f"Prepring intro for episode {next_episode_number}…")

with open(f"/Users/luca/Downloads/intro-{next_episode_number}.mp3", "wb") as f: testo = f"Benvenuti alla puntata {next_episode_number} di EasyApple. " if donatori != 'Nessuno, purtroppo': testo += f"Questa puntata è stata resa possibile dalle donazioni di {ultimi_donatori.main()}. " testo += "E ora la parola ai conduttori, Luca Zorzi e Federico Travaini."

f.write(textToMp3(testo))

print("Done.")