def get_bot_response():
userText = request.args.get('msg')
# print(userText)
res = ''
#
try:
datasetFile = open("./dataset/basic.txt", "r")
except FileNotFoundError:
# print("Bot> Oops! I am unable to locate \"" + datasetName + "\"")
# add email return
exit()
paragraphs = []
for para in datasetFile.readlines():
if (len(para.strip()) > 0):
paragraphs.append(para.strip())
drm = DRM(paragraphs, True, True)
# greetPattern = re.compile("^\ *((hi+)|((good\ )?morning|evening|afternoon)|(he((llo)|y+)))\ *$", re.IGNORECASE)
userQuery = userText
if (not len(userQuery) > 0):
# print(len(userQuery))
print("You need to ask something")
# elif greetPattern.findall(userQuery):
# response = "Hello!"
else:
pq = PQ(userQuery, True, False, True)
response = drm.query(pq)
res = ':' + response
return res
def get_features(datasetFile:str):
paragraphs = []
for para in datasetFile.split('\n'):
if (len(para.strip()) > 0):
paragraphs.append(para.strip())
# Processing Paragraphs
drm = DRM(paragraphs, True, True)
questions = ['experience','size']
answers = []
for i in TITLES:
for j in TITLES[i]:
userQuery = j
pq = PQ(userQuery, True, False, True)
response = drm.query(pq)
if response != ' ': break
else:
continue
break
else:
i = ''
answers.append(i)
for i in questions:
userQuery = i
pq = PQ(userQuery, True, False, True)
# Get Response From Bot
response = drm.query(pq)
answers.append(response)
return answers
def main(datasetName, use_word_embeddings):
print("Bot> Please wait, while I am loading my dependencies")
# Loading Dataset
try:
datasetFile = open(datasetName,"r", encoding="utf-8")
except FileNotFoundError:
print("Bot> Oops! I am unable to locate \"" + datasetName + "\"")
exit()
# Retrieving paragraphs : Assumption is that each paragraph in dataset is
# separated by new line character
paragraphs = []
for para in datasetFile.readlines():
if(len(para.strip()) > 0):
paragraphs.append(para.strip())
# Loading Model
modelName = datasetName.replace("dataset", "models").replace(".txt", ".h5")
model = Word2Vec.load(modelName)
# Processing Paragraphs
if use_word_embeddings:
drm = DRMWM(paragraphs, model, True, True)
else:
drm = DRM(paragraphs, True, True)
print("Bot> Hey! I am ready. Ask me factoid based questions only :P")
print("Bot> You can say me Bye anytime you want")
# Greet Pattern
greetPattern = re.compile("^\ *((hi+)|((good\ )?morning|evening|afternoon)|(he((llo)|y+)))\ *$",re.IGNORECASE)
isActive = True
while isActive:
userQuery = input("You> ")
if(not len(userQuery)>0):
print("Bot> You need to ask something")
elif greetPattern.findall(userQuery):
response = "Hello!"
elif userQuery.strip().lower() == "bye":
response = "Bye Bye!"
isActive = False
else:
# Proocess Question
if use_word_embeddings:
pq = PQWM(userQuery, model, True,False,True)
else:
pq = PQ(userQuery,True,False,True)
# Get Response From Bot
response =drm.query(pq)
print("Bot>",response)
def retrievePara(datasetName):
try:
datasetFile = open(datasetName, "r")
except FileNotFoundError:
return "Topic {} not found. Go through the topics and pick one again.".format(''.join(datasetName.split('/')[-1:]))
# print("Bot> Oops! I am unable to locate \"" + datasetName + "\"")
# exit()
# Retrieving paragraphs : Assumption is that each paragraph in dataset is
# separated by new line character
paragraphs = []
for para in datasetFile.readlines():
if (len(para.strip()) > 0):
paragraphs.append(para.strip())
# Processing Paragraphs
return DRM(paragraphs, True, True)
# Loading Dataset
try:
datasetFile = open(datasetName, "r")
except FileNotFoundError:
print("Bot> Oops! I am unable to locate \"" + datasetName + "\"")
exit()
# Retrieving paragraphs : Assumption is that each paragraph in dataset is
# separated by new line character
paragraphs = []
for para in datasetFile.readlines():
if (len(para.strip()) > 0):
paragraphs.append(para.strip())
# Processing Paragraphs
drm = DRM(paragraphs, True, True)
print("Bot> Hey! I am ready. Ask me factoid based questions only :P")
print("Bot> You can say me Bye anytime you want")
# Greet Pattern
greetPattern = re.compile(
"^\ *((hi+)|((good\ )?morning|evening|afternoon)|(he((llo)|y+)))\ *$",
re.IGNORECASE)
isActive = True
while isActive:
userQuery = input("You> ")
if (not len(userQuery) > 0):
print("Bot> You need to ask something")
def main():
print("Bot> Please wait, Loading preferences from Home Base")
#trainer()
name = recognise()
#datafile=input("Input Data File Name : ")
try:
datasetName = "dataset/" + name + ".txt"
print(datasetName)
except FileNotFoundError:
print("Bot> Oops! I am unable to locate \"" + datasetName + "\"")
print("Bot> Hey! I am ready. Ask me factoid based questions only :P")
print("Bot> You can say me Bye anytime you want")
greetPattern = re.compile(
"^\ *((hi+)|((good\ )?morning|evening|afternoon)|(he((llo)|y+)))\ *$",
re.IGNORECASE)
isActive = True
response = "Hello User"
while isActive:
name = recognise()
if (name != '0'):
datasetName = "dataset/" + name + ".txt"
print(datasetName)
try:
datasetFile = open(datasetName, "r")
except FileNotFoundError:
print("Bot> Oops! I am unable to locate \"" + datasetName +
"\"")
datasetFile = open("dataset/1.txt", "r")
#exit()
paragraphs = []
try:
for para in datasetFile.readlines():
if (len(para.strip()) > 0):
paragraphs.append(para.strip())
drm = DRM(paragraphs, True, True)
except:
print("Bot> Oops! Error in reading dataset")
continue
userQuery = input("You> ")
if (not len(userQuery) > 0):
print("Bot> You need to ask something")
elif greetPattern.findall(userQuery):
response = "Hello!"
elif userQuery.strip().lower() == "bye":
response = "Bye Bye!"
isActive = False
elif userQuery.strip().lower() == "train faces":
trainer()
elif userQuery.strip().lower() == "new":
detect()
elif userQuery.strip().lower() == "train":
trainer()
elif userQuery.strip().lower() == "new user":
detect()
trainer()
elif userQuery.strip().lower() == "detect faces":
recognise1()
elif userQuery.strip().lower() == "speech":
try:
userQuery = get_audio()
except:
print("Error Recognizing Audio")
continue
print("User Said : ", userQuery)
if greetPattern.findall(userQuery):
response = "Hello!"
else:
print(name, " said : ", userQuery)
pq = PQ(userQuery, True, False, True)
response = drm.query(pq)
else:
pq = PQ(userQuery, True, False, True)
response = drm.query(pq)
print("Bot>", response)