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Graduation_Project-v1.2 / src /recommendation_engine /test.py

feat: implement recommendation engine architecture with chatbot logic, intent classification, and project validation modules.

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from src.recommendation_engine.chatbot_engine import chatbot

USER_ID = "test_user"

def interactive():
    print("\n===== INTERACTIVE MODE =====\n")

    while True:
        user_input = input("YOU: ")

        if user_input.lower() in ["exit", "quit"]:
            break

        response = chatbot(USER_ID, user_input)

        print("\nBOT:")
        print(response)
        print("\n----------------------\n")

interactive()


	from src.recommendation_engine.chatbot_engine import chatbot

	USER_ID = "test_user"



	def interactive():
	print("\n===== INTERACTIVE MODE =====\n")

	while True:
	user_input = input("YOU: ")

	if user_input.lower() in ["exit", "quit"]:
	break

	response = chatbot(USER_ID, user_input)

	print("\nBOT:")
	print(response)
	print("\n----------------------\n")



	interactive()