def f1():
utils.delay_print("Bot: " + response)
def generate(texts, past):
candidates, _ = DialoGPT_Generate(texts, model, tokenizer)
return candidates, past
# START DOING STUFF
conversation_history = []
past = None
stop_flag = 0
print("\n")
while True:
utterance = input("Say Something: ") # ,hello how are ya today"
utils.delay_print("\nThinking......")
candidates = []
temp_candidates = []
temp_scores = []
if not conversation_history:
query_context = []
response_context = [""]
else:
if len(conversation_history) > 5:
truncated_history = copy.deepcopy(conversation_history[-5:])
else:
truncated_history = copy.deepcopy(conversation_history)
response_context = [conversation_history[-1]]
