import g4f

global history
history = {}

def chat_predict(prompt, id, sys_inst = None):
	global history
	if id not in history:
		history[id] = [{"role": "user", "content": prompt}]
	else:
		history[id].append({"role": "user", "content": prompt})
	if sys_inst:
		history[id] = [{"role": "system", "content": sys_inst}]

	predicted = g4f.ChatCompletion.create(model="gpt-3.5-turbo", messages=history[id])
	history[id].append({"role": "assistant", "content": predicted})

	return predicted