word limit from 50 to 100 for all generation, refinement, and merge

app.py

@@ -141,7 +141,7 @@ def login(identification_code):
 def word_limit_validation(human_input):
     words = human_input.split()
     if len(words) < WORD_LIMIT_MIN:
-        return f"Error: Please enter at least 50 words."
+        return f"Error: Please enter at least 100 words."
     return None
 
 def on_textbox_change(session_index, session_manager, service, SHEET_ID):
@@ -209,7 +209,7 @@ if __name__ == "__main__":
         
         with group_a_content:
             with gr.Row():
-                human_input = gr.Textbox(label="Enter each idea on a new line (Shift+Enter), starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 50 words)")
+                human_input = gr.Textbox(label="Enter each idea on a new line (Shift+Enter), starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 100 words)")
                 word_count_display_a = gr.Label(value="Word count: 0")
                 human_input.change(fn=update_word_count, inputs=human_input, outputs=word_count_display_a)
             with gr.Row():
@@ -257,7 +257,7 @@ if __name__ == "__main__":
             with gr.Row():
                 initial_answer = gr.Textbox(label="AI Output", interactive=False)
             with gr.Row():
-                modification_suggestions = gr.Textbox(label="Please refine AI's three ideas as your final answer, starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 50 words)")
+                modification_suggestions = gr.Textbox(label="Please refine AI's three ideas as your final answer, starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 100 words)")
                 word_count_display_b = gr.Label(value="Word count: 0")
                 modification_suggestions.change(fn=update_word_count, inputs=modification_suggestions, outputs=word_count_display_b)
                 modification_suggestions.change(fn=check_initial_generated, inputs = [initial_answer] )
@@ -313,7 +313,7 @@ if __name__ == "__main__":
 
         with group_c_content:
             with gr.Row():
-                human_input = gr.Textbox(label="Enter each idea on a new line (Shift+Enter), starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 50 words)")
+                human_input = gr.Textbox(label="Enter each idea on a new line (Shift+Enter), starting with '1', '2', and '3'.", placeholder="Please propose 3 ideas to help Airbnb’s business model align with 17 SDGs (At least 100 words)")
                 word_count_display_c = gr.Label(value="Word count: 0")
                 human_input.change(fn=update_word_count, inputs=human_input, outputs=word_count_display_c)
             with gr.Row():

constants.py

@@ -1,4 +1,4 @@
-WORD_LIMIT_MIN = 50
+WORD_LIMIT_MIN = 100
 GROUP_SEPERATION = 1000
 LOCAL_PARAMS = False
 

instructions.py

@@ -51,7 +51,7 @@ def invalid_group():
 
 def notes_for_participants():
     NOTES = """
-    You will receive basic compensation 💰 for a valid response of at least 50 words.
+    You will receive basic compensation 💰 for a valid response of at least 100 words.
     Your final answer will be evaluated. If it ranks in the top 30 of 600 participants, you’ll earn an extra 🎁 $15.
     """
 
@@ -59,7 +59,9 @@ def notes_for_participants():
 
 def default_task_discription():
     TASK_DESCRIPTION = """
-    Given Airbnb's current business model below, please propose three ideas to make it comply with the 17 SDGs. The final answer will be evaluated on Novelty (the uniqueness and originality of the ideas), Feasibility (the practicality and implementability of suggested actions), Inimitability (how difficult for competitors to replicate), and Goal Alignment (how aligned the ideas are with Airbnb’s business objectives and 17 SDGs).
+    Given Airbnb's current business model below, please propose **three** ideas to make it comply with the 17 SDGs. Your output should be around **100** words in total. 
+    
+    The final answer will be evaluated on Novelty (the uniqueness and originality of the ideas), Feasibility (the practicality and implementability of suggested actions), Inimitability (how difficult for competitors to replicate), and Goal Alignment (how aligned the ideas are with Airbnb’s business objectives and 17 SDGs).
     
     Airbnb caters to two main groups:
         1. Travelers: People looking for unique and affordable places to stay, including tourists, business travelers, and families who prefer a home-like experience over hotels.

utils.py

@@ -56,20 +56,20 @@ def generate_ai_initial_answer(task_description, api_key=None):
 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. "
+    "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 requirements.\n\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 unified and refined response below, marked clearly as the final version."
+    "Provide the merged response below."
 )
     return generate_text_with_gpt(prompt, api_key)
 
@@ -77,14 +77,14 @@ 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. "
+    "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, clearly marked as the final version."
+    "Provide the refined response below."
 )
 
     return generate_text_with_gpt(prompt, api_key)