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Railways.py
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import os
import pandas as pd
from pydub import AudioSegment
from gtts import gTTS
import matplotlib
def textTospeech(text, file):
mytext = str(text)
language = 'hi'
myobj = gTTS(text=mytext, lang=language, slow=False)
myobj.save(file)
def mergeAudios(audios):
combined = AudioSegment.empty()
for audio in audios:
combined += AudioSegment.from_mp3(audio)
return combined
def aa_rahi_hai():
# yatri kripaya dhyaan de
aud=AudioSegment.from_mp3("real_announcement.mp3")
str=0000
end=3200
processed= aud[str:end]
processed.export("1.mp3", format="mp3")
# ke raaste 1
str=4650
end=5500
processed= aud[str:end]
processed.export("3.mp3", format="mp3")
# se aane wali
str=6900
end=8000
processed= aud[str:end]
processed.export("5.mp3", format="mp3")
# ke raaste 2
str=4650
end=5500
processed= aud[str:end]
processed.export("7.mp3", format="mp3")
# ko jaane wali gaadi sankhya
str=12000
end=14700
processed= aud[str:end]
processed.export("9.mp3", format="mp3")
#platform no.
str=19000
end=20050
processed= aud[str:end]
processed.export("11.mp3", format="mp3")
# par aa rahi hai
str=21000
end=24000
processed= aud[str:end]
processed.export("13.mp3", format="mp3")
def generationg_file(file):
fl=pd.read_excel(file)
print(fl)
for index, item in fl.iterrows():
textTospeech(item["from_via"],"2.mp3")
textTospeech(item["from_station"],"4.mp3")
textTospeech(item["To_via"],"6.mp3")
textTospeech(item["To_station"],"8.mp3")
textTospeech(item["train_num"]+" "+ item["train_name"] ,"10.mp3")
textTospeech(item["platform"],"12.mp3")
audios = [f"{i}.mp3" for i in range(1,14)]
announcement = mergeAudios(audios)
announcement.export(f"announcement{index+1}.mp3", format="mp3")
def delay():
aud=AudioSegment.from_mp3("merged_annon.mp3")
#yatri kripiya dhyaan de
str=0000
end=3800
processed= aud[str:end]
processed.export("1_1.mp3", format="mp3")
# ke raaste
str=5300
end=6400
processed= aud[str:end]
processed.export("1_3.mp3", format="mp3")
# se aane wali
str=7500
end=8700
processed= aud[str:end]
processed.export("1_5.mp3", format="mp3")
# ko jaane wali gaadi sankhya
str=12000
end=14500
processed= aud[str:end]
processed.export("1_7.mp3", format="mp3")
# apne nirdharit samay se
str=19000
end=21000
processed= aud[str:end]
processed.export("1_9.mp3", format="mp3")
# ghante ki deri se chal rahi hai
str=22000
end=24000
processed= aud[str:end]
processed.export("1_11.mp3", format="mp3")
#aapko hui asuvidha ke liye hame khed hai
str=30000
end=35600
processed= aud[str:end]
processed.export("1_12.mp3", format="mp3")
def generationg_file_delay(file):
fl=pd.read_excel(file)
print(fl)
for index, item in fl.iterrows():
textTospeech(item["from_via"],"1_2.mp3")
textTospeech(item["from_station"],"1_4.mp3")
textTospeech(item["To_station"],"1_6.mp3")
textTospeech(item["train_num"]+" "+ item["train_name"] ,"1_8.mp3")
textTospeech(item["delay_hour"],"1_10.mp3")
audios = [f"1_{i}.mp3" for i in range(1,13)]
announcement = mergeAudios(audios)
announcement.export(f"announcement{index+1}.mp3", format="mp3")
def platform_par_khadi_hai():
aud=AudioSegment.from_mp3("merged_annon.mp3")
#yatri kripiya dhyaan de
str=0000
end=3800
processed= aud[str:end]
processed.export("2_1.mp3", format="mp3")
# ke raaste
str=5300
end=6400
processed= aud[str:end]
processed.export("2_3.mp3", format="mp3")
# se aane wali
str=7500
end=8700
processed= aud[str:end]
processed.export("2_5.mp3", format="mp3")
# ko jaane wali gaadi sankhya
str=12000
end=14500
processed= aud[str:end]
processed.export("2_7.mp3", format="mp3")
# platform no.
str=52500
end=53500
processed= aud[str:end]
processed.export("2_9.mp3", format="mp3")
# par khadi hai
str=54000
end=55500
processed= aud[str:end]
processed.export("2_11.mp3", format="mp3")
def generationg_file_at_station(file):
fl=pd.read_excel(file)
print(fl)
for index, item in fl.iterrows():
textTospeech(item["from_via"],"2_2.mp3")
textTospeech(item["from_station"],"2_4.mp3")
textTospeech(item["To_station"],"2_6.mp3")
textTospeech(item["train_num"]+" "+ item["train_name"] ,"2_8.mp3")
textTospeech(item["platform"],"2_10.mp3")
audios = [f"2_{i}.mp3" for i in range(1,12)]
announcement = mergeAudios(audios)
announcement.export(f"announcement{index+1}.mp3", format="mp3")
def departure():
aud=AudioSegment.from_mp3("merged_annon.mp3")
#yatri kripiya dhyaan de
str=0000
end=3800
processed= aud[str:end]
processed.export("3_1.mp3", format="mp3")
# ke raaste
str=5300
end=6400
processed= aud[str:end]
processed.export("3_3.mp3", format="mp3")
# ko jaane wali gaadi sankhya
str=12000
end=14500
processed= aud[str:end]
processed.export("3_5.mp3", format="mp3")
# apne nirdharit samay
str=19000
end=20600
processed= aud[str:end]
processed.export("3_7.mp3", format="mp3")
# platform no.
str=52500
end=53500
processed= aud[str:end]
processed.export("3_9.mp3", format="mp3")
#se jayegi
str=73000
end=76000
processed= aud[str:end]
processed.export("3_11.mp3", format="mp3")
def generationg_file_departure(file):
fl=pd.read_excel(file)
print(fl)
for index, item in fl.iterrows():
textTospeech(item["from_via"],"3_2.mp3")
textTospeech(item["To_station"],"3_4.mp3")
textTospeech(item["train_num"]+" "+ item["train_name"] ,"3_6.mp3")
textTospeech(item["departure_time"] ,"3_8.mp3")
textTospeech(item["platform"],"3_10.mp3")
audios = [f"3_{i}.mp3" for i in range(1,12)]
announcement = mergeAudios(audios)
announcement.export(f"announcement{index+1}.mp3", format="mp3")
if __name__=="__main__":
print("Welcome To INDIAN RAILWAYS")
#aa_rahi_hai()
#platform_par_khadi_hai()
#departure()
#generationg_file('anno.xlsx')
delay()
generationg_file_delay('anno.xlsx')