BegtoAdvPythonProjects/Railway_Announcement_code.py at master · anshdholakia/BegtoAdvPythonProjects · GitHub

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import os
import pandas as pd
from pydub import AudioSegment
from gtts import gTTS

def textToSpeech(text, filename):
    mytext=str(text)
    language='hi'
    myobj=gTTS(text='mytext',lang=language,slow=False)
    myobj.save(filename)

# returns pudub audio segment
def mergeAudios(audios):
    combined=AudioSegment.empty()
    for audio in audios:
        combined+=AudioSegment.from_mp3(audio)
    return combined

def generateSkeleton():
    audio=AudioSegment.from_mp3("railway.mp3")
    # 1 - generate starting of the announcement
    start= 88000
    finish= 90200
    audioprocessed=audio[start:finish]
    audioprocessed.export("1_hindi.mp3",format="mp3")

    # 2 - from city

    # 3 - to
    start = 91000
    finish = 92200
    audioprocessed = audio[start:finish]
    audioprocessed.export("3_hindi.mp3", format="mp3")


    #4- via-city

    # 5 to path
    start = 94000
    finish = 95000
    audioprocessed = audio[start:finish]
    audioprocessed.export("5_hindi.mp3", format="mp3")

    # 6- to city


    # 7- generate the train
    start = 96000
    finish = 98900
    audioprocessed = audio[start:finish]
    audioprocessed.export("7_hindi.mp3", format="mp3")


    # 8- train name and number

    # 9- generate the time span
    start = 105000
    finish = 108200
    audioprocessed = audio[start:finish]
    audioprocessed.export("9_hindi.mp3", format="mp3")

    # 10- is platform number

    # 11- generate coming
    start = 109000
    finish = 112250
    audioprocessed = audio[start:finish]
    audioprocessed.export("11_hindi.mp3", format="mp3")


def generateAnnouncement(filename):
    df=pd.read_excel(filename)
    print(df)
    for index,item in df.iterrows():
        # 2 - Generate from-city
        textToSpeech(item['from'],'2_hindi.mp3')
        # 4 - Generate via-city
        textToSpeech(item['via'], '4_hindi.mp3')
        # 6 - Generate to-city
        textToSpeech(item['to'],'6_hindi.mp3')
        # 8 - Generate train no and name
        textToSpeech(item['train_no'] + " " + item['train_name'], '8_hindi.mp3')
        # 10 - Generate platform number
        textToSpeech(item['platform'], '10_hindi.mp3')

        audios=[f"{i}_hindi.mp3" for i in range(1,12)]

        announcement=mergeAudios(audios)
        announcement.export(f"announcement_{item['train_no']}_{index+1}.mp3",format='mp3')


if __name__ == '__main__':
    print("Generating Skeleton....")
    generateSkeleton()
    print("Now Generating Announcement...")
    generateAnnouncement("announce.xlsx")