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import gradio as gr
from chatbot_utils import process_user_input, chatbot_response
def create_interface():
def handle_user_response(user_input, selected_response, chatbot_history):
input_text = user_input if user_input else selected_response
if input_text.strip().lower() == "μ’
λ£":
new_history = chatbot_history + [("μ’
λ£", "μ€νμ μ°Έκ°ν΄ μ£Όμ
μ κ°μ¬ν©λλ€. νμ μ§μλ₯Ό λ°λΌμ£ΌμΈμ")]
return new_history, gr.update(choices=[], interactive=False)
# Get victim's response first
victim_response, victim_choices = chatbot_response(input_text, 'victim', n=3)
# Then get offender's response
offender_response, _ = chatbot_response(input_text, 'offender', n=1)
new_history = chatbot_history + [(input_text, victim_response), (None, offender_response)]
return new_history, gr.update(choices=victim_choices)
def handle_case_selection():
initial_message = "λ°νκ° λ§ν 건 μ μλͺ»λ μ’ μμ§λ§, νμ₯λμ μ무κ²λ μ νλ©΄μ μ΄λ¬λ 건 μ λμκ±°μ£ "
chatbot_history = [(initial_message, None)]
# Get victim's response first
victim_response, victim_choices = chatbot_response(initial_message, 'victim', n=3)
chatbot_history.append((None, victim_response))
# Then get offender's response
offender_response, _ = chatbot_response(initial_message, 'offender', n=1)
chatbot_history.append((None, offender_response))
return chatbot_history, gr.update(choices=victim_choices)
with gr.Blocks() as demo:
case_selection_button = gr.Button("λ°νκ° λ§ν 건 μ μλͺ»λ μ’ μμ§λ§, νμ₯λμ μ무κ²λ μ νλ©΄μ μ΄λ¬λ 건 μ λμκ±°μ£ ")
screen = gr.Chatbot()
user_input = gr.Textbox(label="μ
λ ₯νμΈμ")
response_choices = gr.Dropdown(label="λ΅μμ 골λΌμ£ΌμΈμ", choices=[], interactive=True)
submit_button = gr.Button(value="μ μ‘")
case_selection_button.click(handle_case_selection, inputs=[], outputs=[screen, response_choices])
submit_button.click(handle_user_response, inputs=[user_input, response_choices, screen], outputs=[screen, response_choices])
return demo |