def main_function(in_path, file_name):
start = time.time()
dir_name = file_name + "_dir"
if os.path.exists(dir_name):
os.chdir(dir_name)
else:
os.makedirs(dir_name)
#os.chdir(dir_name)
print("Directory does not exits!! Created the directory")
try:
convert_to_mp3(in_path, file_name, dir_name)
except Exception as e:
print("could not convert to mp3")
print(e)
sys.exit(1)
print("Converted to mp3 successfully")
os.chdir(dir_name)
try:
mp4_file_name = file_name + ".mp3"
convert_to_wav(mp4_file_name)
except Exception as e:
print("could not convert to wav")
print(e)
sys.exit(1)
print("Converted to wav successfully")
mp4_file_name = file_name + ".mp3"
try:
chunks_dir_name = file_name + "_chunks"
wav_file_name = mp4_file_name + ".wav"
vd.convert_to_chunks(wav_file_name, 2, chunks_dir_name)
except Exception as e:
print("could not convert to chunks")
print(e)
sys.exit(1)
print("Conversion to chunks successful")
try:
print(chunks_dir_name)
wst.speech_to_text(chunks_dir_name)
except Exception as e:
print("could not translate chunks")
print(e)
sys.exit(1)
print("Translation to chunks successful")
try:
questions_svm.train_test("../train_1.csv",
chunks_dir_name + "/res_file_question.csv",
"classification.csv")
except Exception as e:
print("Question classification does not work")
print(e)
sys.exit(1)
try:
list_sen.list_sentences("classification.csv", "list_of_questions.csv")
except Exception as e:
print("Listing questions does not work")
print(e)
sys.exit(1)
try:
srq.search_for_relvant_questions("../keywords.txt",
"list_of_questions.csv",
"../questions_results.csv", file_name)
except Exception as e:
print("Searching for relvant questions does not work")
print(e)
#return 1
sys.exit(1)
try:
wav_file_name = mp4_file_name + ".wav"
sa.split(wav_file_name, mp4_file_name + '_laugh_chunks')
except Exception as e:
print("could not split the video")
print(e)
#sys.exit(1)
return 1
try:
#print(os.getcwd())
os.chdir('..')
print(mp4_file_name + '_dir')
x = 'python2 pyAudioAnalysis/audioAnalysis.py classifyFolder -i ' + dir_name + '/' + mp4_file_name + '_dir' + ' --model svm --classifier svm1 > ' + dir_name + '/laugh_result'
print(x)
os.system(x)
except Exception as e:
print("could not execute cmd")
print(e)
#sys.exit(1)
return 1
print("laughter detected")
try:
rs.remove_space(dir_name, 'laugh_result', file_name)
except Exception as e:
print("Could not rename")
print(e)
#sys.exit(1)
return 1
print("result written csv")
try:
os.chdir('OpenVokaturi/examples')
detect_emotion('../../' + dir_name, wav_file_name,
"emotion_results.csv")
os.chdir("../..")
except Exception as e:
print("Emotion detection did not work")
print(e)
#sys.exit(1)
return 1
print("Emotion detection worked!!")
end = time.time()
os.chdir("..")
print("Total time of execution: ", end - start, "seconds")
def main_function(in_path, file_name):
start = time.time()
dir_name = file_name + "_dir"
if os.path.exists(dir_name):
os.chdir(dir_name)
else:
os.makedirs(dir_name)
#os.chdir(dir_name)
print("Directory does not exits!! Created the directory")
try:
convert_to_mp3(in_path, file_name, dir_name)
except Exception as e:
print("could not convert to mp3")
print(e)
sys.exit(1)
print("Converted to mp3 successfully")
os.chdir(dir_name)
try:
mp4_file_name = file_name + ".mp3"
convert_to_wav(mp4_file_name)
except Exception as e:
print("could not convert to wav")
print(e)
sys.exit(1)
print("Converted to wav successfully")
mp4_file_name = file_name + ".mp3"
try:
chunks_dir_name = file_name + "_chunks"
wav_file_name = mp4_file_name + ".wav"
vd.convert_to_chunks(wav_file_name, 2, chunks_dir_name)
except Exception as e:
print("could not convert to chunks")
print(e)
sys.exit(1)
print("Conversion to chunks successful")
try:
print(chunks_dir_name)
wst.speech_to_text(chunks_dir_name)
except Exception as e:
print("could not translate chunks")
print(e)
sys.exit(1)
print("Translation to chunks successful")
try:
questions_svm.train_test("../train_1.csv",
chunks_dir_name + "/res_file_question.csv",
"classification.csv")
except Exception as e:
print("Question classification does not work")
print(e)
sys.exit(1)
try:
list_sen.list_sentences("classification.csv", "list_of_questions.csv")
except Exception as e:
print("Listing questions does not work")
print(e)
sys.exit(1)
try:
srq.search_for_relvant_questions("../keywords.txt",
"list_of_questions.csv",
"../questions_results.csv", file_name)
except Exception as e:
print("Searching for relvant questions does not work")
print(e)
return 1
#sys.exit(1)
end = time.time()
os.chdir("..")
print("Total time of execution: ", end - start, "seconds")
def main_function(in_path, file_name):
result_list = ['actual name', file_name]
start = time.time()
dir_name = file_name + "_dir"
if os.path.exists(dir_name):
os.chdir(dir_name)
else:
os.makedirs(dir_name)
#os.chdir(dir_name)
print("Directory does not exits!! Created the directory")
try:
convert_to_mp3(in_path, file_name, dir_name)
except Exception as e:
print("could not convert to mp3")
print(e)
#sys.exit(1)
#return 1
return {"status": "error"}
print("Converted to mp3 successfully")
os.chdir(dir_name)
try:
mp4_file_name = file_name + ".mp3"
convert_to_wav(mp4_file_name)
return {"status": "error"}
except Exception as e:
print("could not convert to wav")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Converted to wav successfully")
mp4_file_name = file_name + ".mp3"
try:
chunks_dir_name = file_name + "_chunks"
wav_file_name = mp4_file_name + ".wav"
vd.convert_to_chunks(wav_file_name, 2, chunks_dir_name)
except Exception as e:
print("could not convert to chunks")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Conversion to chunks successful")
try:
print(chunks_dir_name)
wst.speech_to_text(chunks_dir_name)
except Exception as e:
print("could not translate chunks")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Translation to chunks successful")
try:
questions_svm.train_test("../train_1.csv",
chunks_dir_name + "/res_file_question.csv",
"classification.csv")
except Exception as e:
print("Question classification does not work")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
list_sen.list_sentences("classification.csv", "list_of_questions.csv")
except Exception as e:
print("Listing questions does not work")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
q_res = srq.search_for_relvant_questions("../keywords.txt",
"list_of_questions.csv",
"../questions_results.csv",
file_name)
result_list.extend(q_res)
except Exception as e:
print("Searching for relvant questions does not work")
print(e)
return {"status": "error"}
#sys.exit(1)
try:
wav_file_name = mp4_file_name + ".wav"
sa.split(wav_file_name, mp4_file_name + '_laugh_chunks')
except Exception as e:
print("could not split the video")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
#print(os.getcwd())
os.chdir('..')
print(mp4_file_name + '_dir')
x = 'python2 pyAudioAnalysis/audioAnalysis.py classifyFolder -i ' + dir_name + '/' + mp4_file_name + '_laugh_chunks' + ' --model svm --classifier svm1 > ' + dir_name + '/laugh_result'
print(x)
os.system(x)
except Exception as e:
print("could not execute cmd")
print(e)
#sys.exit(1)
return {"status": "error"}
print("laughter detected")
try:
l_res = rs.remove_space(dir_name, 'laugh_result', file_name)
result_list.extend(l_res)
except Exception as e:
print("Could not rename")
print(e)
#sys.exit(1)
return {"status": "error"}
print("result written csv")
try:
os.chdir('OpenVokaturi/examples')
e_res = detect_emotion('../../' + dir_name, wav_file_name,
"emotion_results.csv")
result_list.extend(e_res)
os.chdir("../..")
except Exception as e:
print("Emotion detection did not work")
print(e)
return {"status": "error"}
print("Emotion detection worked!!")
print(os.getcwd())
try:
rsp_res = rsp.pitch_rate_amplitude(dir_name, 'pitch_results.csv')
result_list.extend(rsp_res)
except Exception as e:
print("Could not execute pitch")
print(e)
return {"status": "error"}
end = time.time()
print('result list: ', result_list)
os.chdir("..")
result_list[0] = result_list[0].split('.')[0] + '_2' + '.mp4'
rel_questions = result_list.pop(2)
result_list.append(-1)
result_list.append(rel_questions)
json_res = {
'questions': result_list[2],
'relevant-questions': result_list[15],
'laughter': result_list[3],
'Neutral': result_list[4],
'Happy': result_list[5],
'Sad': result_list[6],
'Angry': result_list[7],
'Fear': result_list[8],
'avg_speed': result_list[9],
'avg_pitchrange': result_list[10],
'amplitude1': result_list[12],
'amplitude2': result_list[12],
'amplitude3': result_list[13],
}
print("Total time of execution: ", end - start, "seconds")
return json_res
def main_function(in_path, file_name):
result_list = ['actual name', file_name]
start = time.time()
dir_name = file_name + "_dir"
if os.path.exists(dir_name):
os.chdir(dir_name)
else:
os.makedirs(dir_name)
os.chdir(dir_name)
print("Directory does not exits!! Created the directory")
try:
sc.get_shots('../' + in_path + '/' + file_name)
except Exception as e:
print(e)
return {"status": "error"}
print("SCREENSHOT DONE")
try:
x = my_board.board()
print(x)
except Exception as e:
print(e)
return {"status": "error"}
print("board value: ", x)
os.chdir('..')
try:
convert_to_mp3(in_path, file_name, dir_name)
except Exception as e:
print("could not convert to mp3")
print(e)
#sys.exit(1)
#return 1
return {"status": "error"}
print(os.getcwd())
os.chdir(dir_name)
print("Converted to mp3 successfully")
try:
print("ABC")
mp4_file_name = file_name + ".mp3"
convert_to_wav(mp4_file_name)
print("ABC")
except Exception as e:
print("could not convert to wav")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Converted to wav successfully")
mp4_file_name = file_name + ".mp3"
try:
chunks_dir_name = file_name + "_chunks"
wav_file_name = mp4_file_name + ".wav"
vd.convert_to_chunks(wav_file_name, 2, chunks_dir_name)
except Exception as e:
print("could not convert to chunks")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Conversion to chunks successful")
try:
print(chunks_dir_name)
wst.speech_to_text(chunks_dir_name)
except Exception as e:
print("could not translate chunks")
print(e)
#sys.exit(1)
return {"status": "error"}
print("Translation to chunks successful")
try:
questions_svm.train_test("../train_1.csv",
chunks_dir_name + "/res_file_question.csv",
"classification.csv")
except Exception as e:
print("Question classification does not work")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
list_sen.list_sentences("classification.csv", "list_of_questions.csv")
except Exception as e:
print("Listing questions does not work")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
q_res = srq.search_for_relvant_questions("../keywords.txt",
"list_of_questions.csv",
"../questions_results.csv",
file_name)
result_list.extend(q_res)
except Exception as e:
print("Searching for relvant questions does not work")
print(e)
return {"status": "error"}
#sys.exit(1)
try:
wav_file_name = mp4_file_name + ".wav"
sa.split(wav_file_name, mp4_file_name + '_laugh_chunks')
except Exception as e:
print("could not split the video")
print(e)
#sys.exit(1)
return {"status": "error"}
try:
#print(os.getcwd())
os.chdir('..')
print(mp4_file_name + '_dir')
z = 'python2 pyAudioAnalysis/audioAnalysis.py classifyFolder -i ' + dir_name + '/' + mp4_file_name + '_laugh_chunks' + ' --model svm --classifier svm1 > ' + dir_name + '/laugh_result'
print(z)
os.system(z)
except Exception as e:
print("could not execute cmd")
print(e)
#sys.exit(1)
return {"status": "error"}
print("laughter detected")
try:
l_res = rs.remove_space(dir_name, 'laugh_result', file_name)
result_list.extend(l_res)
except Exception as e:
print("Could not rename")
print(e)
#sys.exit(1)
return {"status": "error"}
print("result written csv")
try:
os.chdir('OpenVokaturi/examples')
e_res = detect_emotion('../../' + dir_name, wav_file_name,
"emotion_results.csv")
result_list.extend(e_res)
os.chdir("../..")
except Exception as e:
print("Emotion detection did not work")
print(e)
return {"status": "error"}
print("Emotion detection worked!!")
print(os.getcwd())
try:
rsp_res = rsp.pitch_rate_amplitude(dir_name, 'pitch_results.csv')
result_list.extend(rsp_res)
except Exception as e:
print("Could not execute pitch")
print(e)
return {"status": "error"}
end = time.time()
print('result list: ', result_list)
os.chdir("..")
result_list[0] = result_list[0].split('.')[0] + '_2' + '.mp4'
rel_questions = result_list.pop(3)
result_list.append(x)
result_list.append(-1)
result_list.append(rel_questions)
result_list.pop(4)
result_list[3] = int(result_list[3])
'''json_res = {
'questions':result_list[2],
'relevant-questions':result_list[16],
'laughter':result_list[3],
'Neutral':result_list[4],
'Happy':result_list[5],
'Sad':result_list[6],
'Angry':result_list[7],
'Fear':result_list[8],
'avg_speed':result_list[9],
'avg_pitchrange': result_list[10],
'amplitude1':result_list[12],
'amplitude2':result_list[12],
'amplitude3':result_list[13],
'board_usage':result_list[14]
}'''
print(result_list)
#print(json_res)
#print("Total time of execution: ",end - start,"seconds")
#return json_res
try:
final_score = mm.predict_value(result_list)
except Exception as e:
print("Could not find final score")
print(e)
return {"status": "error"}
try:
questions_score = qq.predict_value(result_list)
except Exception as e:
print("Could not find questions score")
print(e)
return {"status": "error"}
try:
ros_score = ros.predict_value(result_list)
except Exception as e:
print("Could not find rate of speech score")
print(e)
return {"status": "error"}
try:
amp_score = am.predict_value(result_list)
except Exception as e:
print("Could not find aplitude score")
print(e)
return {"status": "error"}
try:
pitch_score = pi.predict_value(result_list)
except Exception as e:
print("Could not find pitch score")
print(e)
return {"status": "error"}
try:
laughter_score = la.predict_value(result_list)
except Exception as e:
print("Could not find laughter score")
print(e)
return {"status": "error"}
try:
mood_score = mo.predict_value(result_list)
except Exception as e:
print("Could not find mood score")
print(e)
return {"status": "error"}
try:
board_score = mo.predict_value(result_list)
except Exception as e:
print("Could not find board score")
print(e)
return {"status": "error"}
scores = [
questions_score, laughter_score, mood_score, ros_score, pitch_score,
amp_score, board_score
]
result_list[15] = final_score
new_res_list = result_list[2:]
print("SCORES: ", scores)
print("FINAL LIST: ", new_res_list)
try:
sug = suggestion.scoresToText(new_res_list, scores)
except Exception as e:
print("Could not find suggestions")
print(e)
return {"status": "error"}
print("SUGGESSIONS")
print(sug)
sug = json.loads(sug)
json_res = {
'questions': result_list[2],
'relevantQuestions': result_list[16],
'laughter': result_list[3],
'Neutral': result_list[4],
'Happy': result_list[5],
'Sad': result_list[6],
'Angry': result_list[7],
'Fear': result_list[8],
'avgSpeed': result_list[9],
'avgPitchrange': result_list[10],
'amplitude1': result_list[12],
'amplitude2': result_list[12],
'amplitude3': result_list[13],
'boardUsage': result_list[14],
'questionsScore': int(questions_score),
'laughterScore': int(laughter_score),
'moodScore': int(mood_score),
'avgSpeedScore': int(ros_score),
'pitchScore': int(pitch_score),
'amplitudeScore': int(amp_score),
'boardScore': int(board_score),
'finalScore': int(final_score),
'questionsSuggestion': sug['Questions'],
'laughterSuggestion': sug['Laughter'],
'moodSuggestion': sug['Mood'],
'avgSpeedSuggestion': sug['Rateofspeech'],
'pitchSuggestion': sug['Pitch'],
'amplitudeSuggestion': sug['Amplitude'],
'boardSuggestion': sug['Board'],
}
print("FINAL JSON")
print(json_res)
print("FINAL DIR: ", os.getcwd())
new_file_name = file_name + '_json'
final_json = json.dumps(json_res)
with open("result_jsons/" + new_file_name, "w+") as f:
f.write(final_json)
#f = open('result_json/'+new_file_name, 'w+')
#f.write(final_json)
print("Total time of execution: ", end - start, "seconds")
return json_res