Spaces:
Sleeping
Sleeping
add toggle info appendix, revise user codes
#2
by
zns0327
- opened
- app.py +26 -11
- constants.py +53 -0
app.py
CHANGED
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@@ -2,7 +2,7 @@ import gradio as gr
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from utils import *
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from save_data import add_new_data, get_sheet_service
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from instructions import *
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from
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class SessionManager:
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def __init__(self):
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@@ -109,9 +109,13 @@ def save_data(session_index, session_manager, service, SHEET_ID):
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return "Data has been saved to Google Sheets."
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def login(identification_code):
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if
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return update_content(
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else:
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return update_content(None)
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@@ -130,17 +134,22 @@ if __name__ == "__main__":
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login_status = gr.Textbox(label="Next Tasks", interactive=False)
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group = gr.State()
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# initialization of different group contents
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group_a_content = gr.Group(visible=False)
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group_b_content = gr.Group(visible=False)
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group_c_content = gr.Group(visible=False)
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def update_content(group):
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if group == "A":
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return gr.update(visible=True), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), group_a_instructions()
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@@ -188,6 +197,9 @@ if __name__ == "__main__":
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inputs=[session_index],
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outputs=[save_result]
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)
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with group_b_content:
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with gr.Row():
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@@ -206,8 +218,6 @@ if __name__ == "__main__":
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)
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evaluate_btn = gr.Button("Evaluate")
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evaluation_result = gr.Textbox(label="Evaluation Result")
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@@ -226,6 +236,9 @@ if __name__ == "__main__":
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outputs=[save_result]
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)
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with group_c_content:
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with gr.Row():
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create_initial_btn = gr.Button("Create")
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@@ -268,6 +281,8 @@ if __name__ == "__main__":
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inputs=[session_index],
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outputs=[save_result]
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)
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app.launch(share=True)
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from utils import *
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from save_data import add_new_data, get_sheet_service
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from instructions import *
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from constants import SDG_DETAILS, GPT_PROMPT_parallel, GPT_PROMPT_sequential, GPT_PROMPT_reverse_sequential
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class SessionManager:
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def __init__(self):
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return "Data has been saved to Google Sheets."
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def login(identification_code):
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groups = ["A", "B", "C"]
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if not identification_code:
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return update_content(None)
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user_group_id = int(identification_code)//1000
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if user_group_id in range(3):
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return update_content(groups[user_group_id])
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else:
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return update_content(None)
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login_status = gr.Textbox(label="Next Tasks", interactive=False)
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group = gr.State()
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with gr.Column(visible=False) as task:
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description = gr.Textbox(label="Task Description",
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value = default_task_discription(),
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lines=10)
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with gr.Accordion(label = "17 Sustainable Development Goals",
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open=False):
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gr.Markdown(SDG_DETAILS)
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# initialization of different group contents
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group_a_content = gr.Group(visible=False)
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group_b_content = gr.Group(visible=False)
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group_c_content = gr.Group(visible=False)
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def update_content(group):
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if group == "A":
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return gr.update(visible=True), gr.update(visible=True), gr.update(visible=False), gr.update(visible=False), group_a_instructions()
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inputs=[session_index],
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outputs=[save_result]
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)
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with gr.Accordion(label="Appendix: AI instructions", open=False):
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gr.Markdown(GPT_PROMPT_sequential)
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with group_b_content:
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with gr.Row():
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)
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evaluate_btn = gr.Button("Evaluate")
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evaluation_result = gr.Textbox(label="Evaluation Result")
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outputs=[save_result]
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)
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with gr.Accordion(label="Appendix: AI instructions", open=False):
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gr.Markdown(GPT_PROMPT_parallel)
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with group_c_content:
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with gr.Row():
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create_initial_btn = gr.Button("Create")
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inputs=[session_index],
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outputs=[save_result]
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)
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with gr.Accordion(label="Appendix: AI instructions", open=False):
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gr.Markdown(GPT_PROMPT_reverse_sequential)
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app.launch(share=True)
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constants.py
ADDED
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SDG_DETAILS = """
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1. No Poverty: End poverty in all its forms everywhere.
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2. Zero Hunger: End hunger, achieve food security and improved nutrition, and promote sustainable agriculture.
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3. Good Health and Well-being: Ensure healthy lives and promote well-being for all at all ages.
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4. Quality Education: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.
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5. Gender Equality: Achieve gender equality and empower all women and girls.
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6. Clean Water and Sanitation: Ensure availability and sustainable management of water and sanitation for all.
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7. Affordable and Clean Energy: Ensure access to affordable, reliable, sustainable and modern energy for all.
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8. Decent Work and Economic Growth: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.
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9. Industry, Innovation and Infrastructure: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation.
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10. Reduced Inequality: Reduce inequality within and among countries.
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11. Sustainable Cities and Communities: Make cities and human settlements inclusive, safe, resilient and sustainable.
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12. Responsible Consumption and Production: Ensure sustainable consumption and production patterns.
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13. Climate Action: Take urgent action to combat climate change and its impacts.
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14. Life Below Water: Conserve and sustainably use the oceans, seas and marine resources for sustainable development.
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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.
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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.
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17. Partnerships to achieve the Goal: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development.
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"""
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GPT_PROMPT_parallel="""
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For AI generted/modified parts, our base model is GPT-3.5-turbo.
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For direct generation, we use instructions like following:
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"Given the task as: [task_description], provide an answer: "
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For the merging, we use instructions like following:
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"Given the task as: [task_description], there are two answers provided:
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The first answer: [human_text]
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The second answer: [ai_text]
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Merge the two answers into one in a coherent way: "
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"""
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GPT_PROMPT_sequential="""
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For AI generted/modified parts, our base model is GPT-3.5-turbo.
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For the modification, we use instructions like following:
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"Given the task as :[task_description, the human answer is: [human_text]
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Provide an answer of your own but make sure it is coherent and should be based on the human answer: "
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"""
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GPT_PROMPT_reverse_sequential="""
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For AI generted/modified parts, our base model is GPT-3.5-turbo.
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For direct generation, we use instructions like following:
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"Given the task as: [task_description], provide an answer: "
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For the merging, we use instructions like following:
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"Given the task as: [task_description], there are two answers provided:
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The first answer: [human_text]
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The second answer: [ai_text]
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Merge the two answers into one in a coherent way: "
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"""
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