import gradio as gr from utils import * from save_data import add_new_data, get_sheet_service from instructions import * from constants import SDG_DETAILS, GPT_PROMPT_parallel, GPT_PROMPT_sequential, GPT_PROMPT_reverse_sequential class SessionManager: def __init__(self): self.sessions = [] def add_session(self, cooperate_style, task): if cooperate_style == "sequential": session = { "user_identification_code": None, "task": task, "cooperate_style": cooperate_style, "human_initial_answer": None, "ai_modificated_output": None, "evaluation": None } elif cooperate_style == "reverse_sequential": session = { "user_identification_code": None, "task": task, "cooperate_style": cooperate_style, "ai_initial_answer": None, "human_modifications": None, "final_answer": None, "evaluation": None } elif cooperate_style == "parallel": session = { "user_identification_code": None, "task": task, "cooperate_style": cooperate_style, "ai_initial_answer": None, "human_initial_answer": None, "merged_final_answer": None, "evaluation": None } self.sessions.append(session) return len(self.sessions) - 1 def update(self, index, output_content, key='final_output'): self.sessions[index][key] = output_content def get_session(self, index): return self.sessions[index] def save_session_to_sheet(self, index, service, SHEET_ID): session = self.sessions[index] new_row = list(session.values()) add_new_data(new_row, service, SHEET_ID, num_of_columns=len(new_row)) # 动态列数 def handle_create_sequential(task, human_input, session_manager, api_key, identification_code): cooperate_style = "sequential" session_index = session_manager.add_session(task=task, cooperate_style=cooperate_style) session_manager.update(session_index, human_input, 'human_initial_answer') output = merge_texts_sequential(task, human_input, api_key) session_manager.update(session_index, output, 'ai_modificated_output') session_manager.update(session_index, identification_code, 'user_identification_code') return output, session_index def handle_create_parallel(task, human_input, session_manager, api_key, identification_code): cooperate_style = "parallel" session_index = session_manager.add_session(task=task, cooperate_style=cooperate_style) ai_initial_answer = generate_ai_initial_answer(task, api_key) session_manager.update(session_index, human_input, 'human_initial_answer') session_manager.update(session_index, ai_initial_answer, 'ai_initial_answer') final_answer = merge_texts_parallel(task, human_input, ai_initial_answer, api_key) session_manager.update(session_index, final_answer, 'merged_final_answer') session_manager.update(session_index, identification_code, 'user_identification_code') return ai_initial_answer, final_answer, session_index def handle_create_reverse_sequential(task, session_manager, api_key, identification_code): cooperate_style = "reverse_sequential" session_index = session_manager.add_session(task=task, cooperate_style=cooperate_style) ai_initial_answer = generate_ai_initial_answer(task, api_key) session_manager.update(session_index, ai_initial_answer, 'ai_initial_answer') session_manager.update(session_index, identification_code, 'user_identification_code') return ai_initial_answer, session_index def handle_modify_reverse_sequential(session_index, modification_suggestions, session_manager, api_key): session = session_manager.get_session(session_index) session_manager.update(session_index, modification_suggestions, 'human_modifications') final_answer = modify_with_suggestion(session['task'], modification_suggestions, api_key) session_manager.update(session_index, final_answer, 'final_answer') return final_answer, session_index def evaluate_interaction(session_index, session_manager, api_key): session = session_manager.get_session(session_index) if session['cooperate_style'] == "sequential": evaluation = get_evaluation_with_gpt(session['task'], session['ai_modificated_output'], api_key) elif session['cooperate_style'] == "reverse_sequential": evaluation = get_evaluation_with_gpt(session['task'], session['final_answer'], api_key) elif session['cooperate_style'] == "parallel": evaluation = get_evaluation_with_gpt(session['task'], session['merged_final_answer'], api_key) session['evaluation'] = evaluation return evaluation def save_data(session_index, session_manager, service, SHEET_ID): session_manager.save_session_to_sheet(session_index, service, SHEET_ID) return "Data has been saved to Google Sheets." def login(identification_code): groups = ["A", "B", "C"] if not identification_code: return update_content(None) user_group_id = int(identification_code)//1000 if user_group_id in range(3): return update_content(groups[user_group_id]) else: return update_content(None) if __name__ == "__main__": api_key = get_api_key(local=False) service, SHEET_IDs = get_sheet_service(local=False) SHEET_ID1, SHEET_ID2, SHEET_ID3 = SHEET_IDs session_manager = SessionManager() with gr.Blocks() as app: with gr.Row(): identification_code = gr.Textbox(label="Enter your identification code") login_button = gr.Button("Login") login_status = gr.Textbox(label="Next Tasks", interactive=False) group = gr.State() with gr.Column(visible=False) as task: description = gr.Textbox(label="Task Description", value = default_task_discription(), lines=10) with gr.Accordion(label = "17 Sustainable Development Goals", open=False): gr.Markdown(SDG_DETAILS) # initialization of different group contents group_a_content = gr.Group(visible=False) group_b_content = gr.Group(visible=False) group_c_content = gr.Group(visible=False) def update_content(group): if group == "A": return gr.update(visible=True), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), group_a_instructions() elif group == "B": return gr.update(visible=True), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), group_b_instructions() elif group == "C": return gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), gr.update(visible=True), group_c_instructions() else: return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), invalid_group() login_button.click(login, inputs=identification_code, outputs=[task, group_a_content, group_b_content, group_c_content, login_status]) with group_a_content: with gr.Row(): human_input = gr.Textbox(label="Human Input") with gr.Row(): submit_btn = gr.Button("Create") with gr.Row(): ai_output = gr.Textbox(label="AI modified output") session_index = gr.Number(label="Session Index", visible=False) submit_btn.click( fn=lambda task, human_input, id: handle_create_sequential(task, human_input, session_manager, api_key, id), inputs=[task, human_input, identification_code], outputs=[ai_output, session_index] ) # evaluate same for every group evaluate_btn = gr.Button("Evaluate") evaluation_result = gr.Textbox(label="Evaluation Result") evaluate_btn.click( fn=lambda session_index: evaluate_interaction(session_index, session_manager, api_key), inputs=[session_index], outputs=[evaluation_result] ) save_btn = gr.Button("Save Data") save_result = gr.Label() save_btn.click( fn=lambda session_index: save_data(session_index, session_manager, service, SHEET_ID1), inputs=[session_index], outputs=[save_result] ) with gr.Accordion(label="Appendix: AI instructions", open=False): gr.Markdown(GPT_PROMPT_sequential) with group_b_content: with gr.Row(): human_input = gr.Textbox(label="Human Input") with gr.Row(): create_btn = gr.Button("Create") with gr.Row(): ai_initial_output = gr.Textbox(label="AI Initial Output") final_output = gr.Textbox(label="Final Merged Output") session_index = gr.Number(label="Session Index", visible=False) create_btn.click( fn=lambda task, human_input, id: handle_create_parallel(task, human_input, session_manager, api_key, id), inputs=[task, human_input, identification_code], outputs=[ai_initial_output, final_output, session_index] ) evaluate_btn = gr.Button("Evaluate") evaluation_result = gr.Textbox(label="Evaluation Result") evaluate_btn.click( fn=lambda session_index: evaluate_interaction(session_index, session_manager, api_key), inputs=[session_index], outputs=[evaluation_result] ) save_btn = gr.Button("Save Data") save_result = gr.Label() save_btn.click( fn=lambda session_index: save_data(session_index, session_manager, service, SHEET_ID2), inputs=[session_index], outputs=[save_result] ) with gr.Accordion(label="Appendix: AI instructions", open=False): gr.Markdown(GPT_PROMPT_parallel) with group_c_content: with gr.Row(): create_initial_btn = gr.Button("Create") with gr.Row(): initial_answer = gr.Textbox(label="AI Initial Answer") modification_suggestions = gr.Textbox(label="Modification Suggestions") with gr.Row(): create_final_btn = gr.Button("Modify") with gr.Row(): final_answer = gr.Textbox(label="Final Answer") session_index = gr.Number(label="Session Index", visible=False) create_initial_btn.click( fn=lambda task, id: handle_create_reverse_sequential(task, session_manager, api_key, id), inputs=[task, identification_code], outputs=[initial_answer, session_index] ) create_final_btn.click( fn=lambda session_index, modification_suggestions: handle_modify_reverse_sequential(session_index, modification_suggestions, session_manager, api_key), inputs=[session_index, modification_suggestions], outputs=[final_answer, session_index] ) evaluate_btn = gr.Button("Evaluate") evaluation_result = gr.Textbox(label="Evaluation Result") evaluate_btn.click( fn=lambda session_index: evaluate_interaction(session_index, session_manager, api_key), inputs=[session_index], outputs=[evaluation_result] ) save_btn = gr.Button("Save Data") save_result = gr.Label() save_btn.click( fn=lambda session_index: save_data(session_index, session_manager, service, SHEET_ID3), inputs=[session_index], outputs=[save_result] ) with gr.Accordion(label="Appendix: AI instructions", open=False): gr.Markdown(GPT_PROMPT_reverse_sequential) app.launch(share=True)