Spaces:
Sleeping
Sleeping
import gradio as gr | |
from chatbot_utils import process_user_input, chatbot_response | |
import time | |
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£": | |
chatbot_history.append((input_text, "μ€νμ μ°Έκ°ν΄ μ£Όμ μ κ°μ¬ν©λλ€. νμ μ§μλ₯Ό λ°λΌμ£ΌμΈμ")) | |
return chatbot_history, gr.update(choices=[], interactive=False) | |
# Add user's input to history | |
chatbot_history.append((input_text, None)) | |
yield chatbot_history, gr.update(choices=[]) # Immediately show user input | |
# Get offender's response | |
offender_response, _ = chatbot_response(input_text, 'offender', n=1) | |
time.sleep(1) # 1-second delay | |
# Add offender's response to history | |
chatbot_history.append((None, offender_response)) | |
# Generate victim choices for the next turn | |
_, victim_choices = chatbot_response(offender_response, 'victim', n=3) | |
yield chatbot_history, gr.update(choices=victim_choices) | |
def handle_case_selection(): | |
initial_message = "μ΄λ² μ¬λ¦μ κ²½μ£Όμ κ°μ΄ κ°λ κ² μ΄λ? μμ μ ν λ² κ°λ³΄κ³ μ λ§ μ’μλλ°, μ΄λ²μ λ€μ κ°κ³ μΆμ΄." | |
chatbot_history = [(initial_message, None)] | |
yield chatbot_history, gr.update(choices=[]) | |
offender_response, _ = chatbot_response(initial_message, 'offender', n=1) | |
time.sleep(1) # 1-second delay | |
chatbot_history.append((None, offender_response)) | |
_, victim_choices = chatbot_response(offender_response, 'victim', n=3) | |
yield chatbot_history, gr.update(choices=victim_choices) | |
with gr.Blocks() as demo: | |
case_selection_button = gr.Button("μ΄λ² μ¬λ¦μ κ²½μ£Όμ κ°μ΄ κ°λ κ² μ΄λ? μμ μ ν λ² κ°λ³΄κ³ μ λ§ μ’μλλ°, μ΄λ²μ λ€μ κ°κ³ μΆμ΄.") | |
screen = gr.Chatbot() | |
user_input = gr.Textbox(label="μ΄κ³³μ λλ΅μ μ λ ₯νμΈμ") | |
response_choices = gr.Dropdown(label="λλ λλ΅μ μ νν΄ μ£ΌμΈμ", choices=[], interactive=True) | |
submit_button = gr.Button(value="μ μΆ") | |
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 |