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| import openai | |
| import os | |
| def get_api_key(local = False): | |
| if local: | |
| from dotenv import load_dotenv | |
| load_dotenv() | |
| return os.getenv('OPEN_API_KEY') | |
| def get_user_input(prompt): | |
| return input(prompt) | |
| def choose_cooperation_type(): | |
| choice = get_user_input("Please choose the cooperation type: \n" | |
| +"1. Sequential: human provide an answer first and then AI provide the answer based on it.\n" | |
| +"2. Parallel: human and AI give answers seperately and then AI does the merge.\n") | |
| if choice == '1': | |
| return 'sequential' | |
| elif choice == '2': | |
| return 'parallel' | |
| else: | |
| print("Invalid choice. Please try again.") | |
| return choose_cooperation_type() | |
| def describe_task(): | |
| task_description = get_user_input("Please describe your task: ") | |
| if task_description.strip() == "": | |
| # print("Task description cannot be empty. Please try again.") | |
| # return describe_task() | |
| task_description = "Write a poem about the moon in 3 lines." | |
| return task_description | |
| def generate_text_with_gpt(prompts, api_key = None): | |
| """Generate text using the GPT-4o model.""" | |
| if api_key: | |
| openai.api_key = api_key | |
| try: | |
| response = openai.ChatCompletion.create( | |
| model="gpt-4o", | |
| messages=[ | |
| {"role": "system", "content": "Please perform the tasks as instructed, following the instructions carefully."}, | |
| {"role": "user", "content": prompts} | |
| ] | |
| ) | |
| return response['choices'][0]['message']['content'] | |
| except Exception as e: | |
| print(f"Error occurred when generating texts: {e}") | |
| return "" | |
| def generate_ai_initial_answer(task_description, api_key=None): | |
| prompt = f"Given the task: {task_description}, provide an answer: " | |
| return generate_text_with_gpt(prompt, api_key) | |
| def merge_texts_parallel(task_description, human_text, ai_text, api_key = None): | |
| prompt = ( | |
| "You are tasked with merging two answers into a single, coherent, and logically structured response. " | |
| "Your response should synthesize the strengths of both answers, eliminate redundancy, and ensure a logical flow." | |
| "Follow this structured chain of thought to guide your process:\n\n" | |
| "1. Understand the Task: Start by carefully analyzing the task description to ensure your final response aligns fully with the objective.\n" | |
| "2. Extract Key Points: Review both answers and identify the key ideas and arguments they present.\n" | |
| "3. Resolve Redundancies and Conflicts: Compare the two answers to eliminate repetitive content and resolve any contradictions.\n" | |
| "4. Integrate Seamlessly: Combine the extracted points into a single, unified response, ensuring a logical and coherent structure.\n" | |
| "5. Refine for Clarity: Polish the final response for clarity, conciseness, and alignment with the task description below.\n\n" | |
| "Task Description:\n" | |
| f"{task_description}\n\n" | |
| "Answer 1:\n" | |
| f"{human_text}\n\n" | |
| "Answer 2:\n" | |
| f"{ai_text}\n\n" | |
| "Provide the merged response below." | |
| ) | |
| return generate_text_with_gpt(prompt, api_key) | |
| def merge_texts_sequential(task_description, human_text, api_key = None): | |
| prompt = ( | |
| f"Given the task: {task_description}, here is the response provided by the human:\n" | |
| f"{human_text}\n\n" | |
| "Your task is to refine the human's response while ensuring that the final answer fully aligns with the objectives for this task." | |
| "Follow this logical chain of thought:\n" | |
| "1. Understand the Intent: Analyze the human's response to identify their key points and intended message.\n" | |
| "2. Evaluate Clarity: Check for any ambiguities, gaps, or unclear phrasing in the response.\n" | |
| "3. Improve Coherence: Ensure the response flows logically and connects ideas seamlessly.\n" | |
| "4. Enhance Precision: Refine wording to be concise and impactful while preserving the human's original intent.\n" | |
| "5. Check Alignment: Confirm that the final response accurately represents and strengthens the human's input without introducing unintended changes.\n\n" | |
| "Provide the refined response below." | |
| ) | |
| return generate_text_with_gpt(prompt, api_key) | |
| def modify_with_suggestion(task_description, text, suggestions, api_key = None): | |
| prompt = ( | |
| f"Given the task: {task_description}, the provided answer is:\n" | |
| f"{text}\n\n" | |
| f"The following suggestions have been made for improvement:\n" | |
| f"{suggestions}\n\n" | |
| "Your task is to modify the provided answer by systematically incorporating the suggestions while maintaining clarity, coherence, and alignment with the original task. " | |
| "Follow this logical chain of thought:\n" | |
| "1. Understand the Task: Reassess the original task description to ensure the modified answer remains aligned with the requirements.\n" | |
| "2. Analyze the Suggestions: Break down each suggestion to understand its purpose and how it improves the original answer.\n" | |
| "3. Apply Improvements: Integrate the suggestions into the answer thoughtfully, ensuring each one is addressed adequately.\n" | |
| "4. Ensure Coherence: Verify that the modified answer flows logically and maintains a clear structure.\n" | |
| "5. Preserve Integrity: Ensure the modified answer stays true to the original content while enhancing it as per the suggestions.\n\n" | |
| "Provide the improved answer below, clearly marked as the revised version." | |
| ) | |
| return generate_text_with_gpt(prompt, api_key) | |
| def get_evaluation_with_gpt(task_description, text, api_key=None): | |
| prompt = ( | |
| f"Given the task: {task_description}, the provided answer is:\n{text}\n\n" | |
| "You are tasked with evaluating the answer using a scale from 0 to 10 based on specific criteria. " | |
| "Follow a structured chain-of-thought approach for your evaluation to ensure thoroughness and objectivity:\n\n" | |
| "1. Understand the Criteria: Carefully review each evaluation criterion to ensure you fully grasp what is being assessed:\n" | |
| " - Novelty: The uniqueness and originality of the ideas.\n" | |
| " - Feasibility: The practicality and implementability of suggested actions.\n" | |
| " - Inimitability: How difficult for competitors to replicate.\n" | |
| " - Alignment: How aligned the ideas are with Airbnb’s business objectives and 17 SDGs.\n\n" | |
| "2. Analyze the Answer: Break down the answer into its key components and assess how well it meets each criterion.\n" | |
| " - Identify strengths, weaknesses, and any gaps in the ideas provided.\n" | |
| " - Consider the context of the task and whether the ideas are realistic and relevant.\n\n" | |
| "3. Assign Scores: Use the following scale to score each criterion:\n" | |
| " - 0-2: Poor fit; the idea demonstrates minimal relevance to the criteria.\n" | |
| " - 3-5: Partial fit; the idea shows some relevance but contains significant shortcomings.\n" | |
| " - 6-8: Good fit; the idea aligns well with the criteria, showing clear relevance and thoughtfulness.\n" | |
| " - 9-10: Excellent fit; the idea fully aligns with the criteria, demonstrating exceptional insight.\n" | |
| " - Note: Use the entire scoring range (0-10) and avoid defaulting to mid-range scores. If the provided answer is vague or off-topic, assign scores between 0-5.\n\n" | |
| "4. Justify Each Score: Provide a brief explanation for each score, highlighting specific aspects of the answer that influenced your evaluation.\n\n" | |
| "You should format your output exactly as follows:\n" | |
| "Novelty: [Score] - [Justification]\n" | |
| "Feasibility: [Score] - [Justification]\n" | |
| "Inimitability: [Score] - [Justification]\n" | |
| "Alignment: [Score] - [Justification]\n\n" | |
| "Output your evaluation below:" | |
| ) | |
| return generate_text_with_gpt(prompt, api_key) | |
| def display_merged_output(session_index, session_manager): | |
| session = session_manager.get_session(session_index) | |
| return session['merged_final_answer'] |