Merge branch 'main' into pr/1

app.py

@@ -3,7 +3,7 @@ from utils import *
 from save_data import add_new_data, get_sheet_service
 from instructions import *
 from user_groups import user_data
-
+from constants import SDG_DETAILS, GPT_PROMPT_parallel, GPT_PROMPT_sequential, GPT_PROMPT_reverse_sequential
 
 
 class SessionManager:
@@ -121,9 +121,13 @@ def save_data(session_index, session_manager, service, SHEET_ID):
     return "Data has been saved to Google Sheets."
 
 def login(identification_code):
-    user_info = user_data.get(identification_code)
-    if user_info:
-        return update_content(user_info["group"])
+    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)
 
@@ -150,17 +154,22 @@ if __name__ == "__main__":
         login_status = gr.Textbox(label="Next Tasks", interactive=False)
         group = gr.State()
 
-        task = gr.Textbox(label="Task Description", 
-                          value = default_task_discription(), 
-                          visible=False,
-                          lines=10)
+        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()
@@ -219,6 +228,9 @@ if __name__ == "__main__":
                 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():
@@ -265,7 +277,8 @@ if __name__ == "__main__":
                 outputs=[save_result]
             )
 
-
+            with gr.Accordion(label="Appendix: AI instructions", open=False):
+                gr.Markdown(GPT_PROMPT_parallel)
 
         with group_c_content:
             with gr.Row():
@@ -324,5 +337,8 @@ if __name__ == "__main__":
                 inputs=[session_index],
                 outputs=[save_result]
             )
-            
-    app.launch(share=True)
+
+            with gr.Accordion(label="Appendix: AI instructions", open=False):
+                gr.Markdown(GPT_PROMPT_reverse_sequential)
+
+        app.launch(share=True)

constants.py

@@ -0,0 +1,53 @@
+SDG_DETAILS = """
+1. No Poverty: End poverty in all its forms everywhere.
+2. Zero Hunger: End hunger, achieve food security and improved nutrition, and promote sustainable agriculture.
+3. Good Health and Well-being: Ensure healthy lives and promote well-being for all at all ages.
+4. Quality Education: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.
+5. Gender Equality: Achieve gender equality and empower all women and girls.
+6. Clean Water and Sanitation: Ensure availability and sustainable management of water and sanitation for all.
+7. Affordable and Clean Energy: Ensure access to affordable, reliable, sustainable and modern energy for all.
+8. Decent Work and Economic Growth: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.
+9. Industry, Innovation and Infrastructure: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation.
+10. Reduced Inequality: Reduce inequality within and among countries.
+11. Sustainable Cities and Communities: Make cities and human settlements inclusive, safe, resilient and sustainable.
+12. Responsible Consumption and Production: Ensure sustainable consumption and production patterns.
+13. Climate Action: Take urgent action to combat climate change and its impacts.
+14. Life Below Water: Conserve and sustainably use the oceans, seas and marine resources for sustainable development.
+15. Life on Land: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss.
+16. Peace and Justice Strong Institutions: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels.
+17. Partnerships to achieve the Goal: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development.
+"""
+
+GPT_PROMPT_parallel="""
+For AI generted/modified parts, our base model is GPT-3.5-turbo. 
+
+For direct generation, we use instructions like following:
+"Given the task as: [task_description], provide an answer: "
+
+For the merging, we use instructions like following:
+"Given the task as: [task_description], there are two answers provided:
+The first answer: [human_text]
+The second answer: [ai_text]
+Merge the two answers into one in a coherent way: "
+"""
+
+GPT_PROMPT_sequential="""
+For AI generted/modified parts, our base model is GPT-3.5-turbo. 
+
+For the modification, we use instructions like following:
+"Given the task as :[task_description, the human answer is: [human_text]
+Provide an answer of your own but make sure it is coherent and should be based on the human answer: "
+"""
+
+GPT_PROMPT_reverse_sequential="""
+For AI generted/modified parts, our base model is GPT-3.5-turbo. 
+
+For direct generation, we use instructions like following:
+"Given the task as: [task_description], provide an answer: "
+
+For the merging, we use instructions like following:
+"Given the task as: [task_description], there are two answers provided:
+The first answer: [human_text]
+The second answer: [ai_text]
+Merge the two answers into one in a coherent way: "
+"""