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from .utils import *
from .vote_utils import (
upvote_last_response_ig as upvote_last_response,
downvote_last_response_ig as downvote_last_response,
flag_last_response_ig as flag_last_response,
leftvote_last_response_igm as leftvote_last_response,
rightvote_last_response_igm as rightvote_last_response,
tievote_last_response_igm as tievote_last_response,
bothbad_vote_last_response_igm as bothbad_vote_last_response,
share_click_igm as share_click,
generate_ig,
generate_ig_museum,
generate_igm,
generate_igm_museum,
generate_igm_annoy,
generate_igm_annoy_museum,
share_js
)
from functools import partial
def build_side_by_side_ui_anony(models):
notice_markdown = """
# βοΈ GenAI-Arena βοΈ : Benchmarking Visual Generative Models in the Wild
**GenAI-Arena is an open evaluation plaform focused on Image Generation, Image Editing, and Video Generation tasks.**
| [Code](https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena/tree/main) | [Paper](https://arxiv.org/abs/2406.04485v1) | [Dataset](https://huggingface.co/datasets/TIGER-Lab/GenAI-Bench) |
## π Rules
- Input prompt to two anonymous models in same area (e.g., LCM, SDXL, SDXL-turbo in Text-guided Image Generation Model, MagicBrush, InstructPix2Pix in Text-guided Image Editing Model) and vote for the better one!
- When the results are ready, click the button below to vote.
- Vote won't be counted if model identity is revealed during conversation.
- Click "New Round" to start a new round.
## β οΈ Data Collection Consent
- Your input and votes will be collected for research purposes only.
- By using this service, you agree to the collection of your input and votes for research purposes.
- Your data will be anonymized and will not be used for commercial purposes.
## π User Guidelines for AI Content Generation
- No NSFW Content: All user inputs must adhere to our content guidelines. Prompts containing NSFW (Not Safe For Work) content are strictly prohibited.
- Automatic Filtering: Any input deemed inappropriate or NSFW will be automatically filtered out. Users will be prompted to re-enter a suitable request.
- Content Guidelines: Please avoid using language or descriptions that could be considered offensive, explicit, or inappropriate. This includes, but is not limited to, sexual content, violence, and hate speech.
- Respectful Use: We encourage all users to create content that is respectful and suitable for all audiences.
## π Arena Elo
Find out who is the π₯conditional image generation models! More models are going to be supported.
## π Generating now!
"""
model_list = models.model_ig_list
state0 = gr.State()
state1 = gr.State()
gen_func = partial(generate_igm_annoy, models.generate_image_ig_parallel_anony)
gen_func_random = partial(generate_igm_annoy_museum, models.generate_image_ig_museum_parallel_anony)
gr.Markdown(notice_markdown, elem_id="notice_markdown")
with gr.Group(elem_id="share-region-anony"):
with gr.Accordion("π Expand to see all Arena players", open=False):
model_description_md = get_model_description_md(model_list)
gr.Markdown(model_description_md, elem_id="model_description_markdown")
with gr.Row():
with gr.Column():
chatbot_left = gr.Image(width=512, label = "Model A")
with gr.Column():
chatbot_right = gr.Image(width=512, label = "Model B")
with gr.Row():
with gr.Column():
model_selector_left = gr.Markdown("", visible=False)
with gr.Column():
model_selector_right = gr.Markdown("", visible=False)
with gr.Row():
slow_warning = gr.Markdown("", elem_id="notice_markdown")
with gr.Row():
leftvote_btn = gr.Button(
value="π A is better", visible=False, interactive=False
)
rightvote_btn = gr.Button(
value="π B is better", visible=False, interactive=False
)
tie_btn = gr.Button(value="π€ Tie", visible=False, interactive=False)
bothbad_btn = gr.Button(
value="π Both are bad", visible=False, interactive=False
)
with gr.Row():
textbox = gr.Textbox(
show_label=False,
placeholder="π Enter your prompt and press ENTER",
container=True,
elem_id="input_box",
)
send_btn = gr.Button(value="Send", variant="primary", scale=0)
draw_btn = gr.Button(value="π² Random sample", variant="primary", scale=0)
with gr.Row():
clear_btn = gr.Button(value="π² New Round", interactive=False)
regenerate_btn = gr.Button(value="π Regenerate", interactive=False)
# share_btn = gr.Button(value="π· Share")
#gr.Markdown(acknowledgment_md, elem_id="ack_markdown")
dummy_img_output = gr.Image(width=512, visible=False)
gr.Examples(
examples=[["a cute dog is playing a ball", os.path.join("./examples", "dog.jpg")],
["Buildings on fire, old film still", os.path.join("./examples", "fire.jpg")],
["Lonely evil bananas on a table, hard light chiaroscuro, realistic",os.path.join("./examples", "banana.jpg")],
["A futuristic hopeful busy city, purple and green color scheme", os.path.join("./examples", "city.jpg")]],
inputs = [textbox, dummy_img_output])
btn_list = [leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, regenerate_btn, clear_btn,]
textbox.submit(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right, model_selector_left, model_selector_right],
api_name="submit_btn_annony"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
send_btn.click(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right, model_selector_left, model_selector_right],
api_name="send_btn_annony"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
draw_btn.click(
gen_func_random,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right, textbox, model_selector_left, model_selector_right],
api_name="draw_btn_annony"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
clear_btn.click(
clear_history_side_by_side_anony,
inputs=None,
outputs=[state0, state1, textbox, chatbot_left, chatbot_right, model_selector_left, model_selector_right],
api_name="clear_btn_annony"
).then(
disable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
regenerate_btn.click(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right, model_selector_left, model_selector_right],
api_name="regenerate_btn_annony"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
dummy_left_model = gr.State("")
dummy_right_model = gr.State("")
leftvote_btn.click(
leftvote_last_response,
inputs=[state0, state1, dummy_left_model, dummy_right_model],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
rightvote_btn.click(
rightvote_last_response,
inputs=[state0, state1, dummy_left_model, dummy_right_model],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
tie_btn.click(
tievote_last_response,
inputs=[state0, state1, dummy_left_model, dummy_right_model],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
bothbad_btn.click(
bothbad_vote_last_response,
inputs=[state0, state1, dummy_left_model, dummy_right_model],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
# share_btn.click(
# share_click,
# inputs=[state0, state1, model_selector_left, model_selector_right],
# outputs=[],
# js=share_js
# )
def build_side_by_side_ui_named(models):
notice_markdown = """
# βοΈ GenAI-Arena βοΈ : Benchmarking Visual Generative Models in the Wild
**GenAI-Arena is an open evaluation plaform focused on Image Generation, Image Editing, and Video Generation tasks.**
| [Code](https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena/tree/main) | [Paper](https://arxiv.org/abs/2406.04485v1) | [Dataset](https://huggingface.co/datasets/TIGER-Lab/GenAI-Bench) |
## π Rules
- Generate with any two selected models side-by-side and vote!
- Input prompt you want to generate.
- Click "Send" to submit the prompt.
- Click "Clear history" to start a new round.
## β οΈ Data Collection Consent
- Your input and votes will be collected for research purposes only.
- By using this service, you agree to the collection of your input and votes for research purposes.
- Your data will be anonymized and will not be used for commercial purposes.
## π User Guidelines for AI Content Generation
- No NSFW Content: All user inputs must adhere to our content guidelines. Prompts containing NSFW (Not Safe For Work) content are strictly prohibited.
- Automatic Filtering: Any input deemed inappropriate or NSFW will be automatically filtered out. Users will be prompted to re-enter a suitable request.
- Content Guidelines: Please avoid using language or descriptions that could be considered offensive, explicit, or inappropriate. This includes, but is not limited to, sexual content, violence, and hate speech.
- Respectful Use: We encourage all users to create content that is respectful and suitable for all audiences.
## π€ Choose two models to compare
"""
model_list = models.model_ig_list
state0 = gr.State()
state1 = gr.State()
anony = False
gen_func = partial(generate_igm, models.generate_image_ig_parallel)
gen_func_random = partial(generate_igm_museum, models.generate_image_ig_museum_parallel)
gr.Markdown(notice_markdown, elem_id="notice_markdown")
with gr.Group(elem_id="share-region-named"):
with gr.Row():
with gr.Column():
model_selector_left = gr.Dropdown(
choices=model_list,
value=model_list[0] if len(model_list) > 0 else "",
interactive=True,
show_label=False,
container=False,
allow_custom_value=True
)
with gr.Column():
model_selector_right = gr.Dropdown(
choices=model_list,
value=model_list[1] if len(model_list) > 1 else "",
interactive=True,
show_label=False,
container=False,
allow_custom_value=True
)
with gr.Row():
with gr.Accordion("π Expand to see all model descriptions", open=False):
model_description_md = get_model_description_md(model_list)
gr.Markdown(model_description_md, elem_id="model_description_markdown")
with gr.Row():
with gr.Column():
chatbot_left = gr.Image(width=512, label = "Model A")
with gr.Column():
chatbot_right = gr.Image(width=512, label = "Model B")
with gr.Row():
leftvote_btn = gr.Button(
value="π A is better", visible=False, interactive=False
)
rightvote_btn = gr.Button(
value="π B is better", visible=False, interactive=False
)
tie_btn = gr.Button(value="π€ Tie", visible=False, interactive=False)
bothbad_btn = gr.Button(
value="π Both are bad", visible=False, interactive=False
)
with gr.Row():
textbox = gr.Textbox(
show_label=False,
placeholder="π Enter your prompt and press ENTER",
elem_id="input_box"
)
send_btn = gr.Button(value="Send", variant="primary", scale=0)
draw_btn = gr.Button(value="π² Random sample", variant="primary", scale=0)
with gr.Row():
clear_btn = gr.Button(value="ποΈ Clear history", interactive=False)
regenerate_btn = gr.Button(value="π Regenerate", interactive=False)
# share_btn = gr.Button(value="π· Share")
#gr.Markdown(acknowledgment_md, elem_id="ack_markdown")
dummy_img_output = gr.Image(width=512, visible=False)
gr.Examples(
examples=[["a cute dog is playing a ball", os.path.join("./examples", "dog.jpg")],
["Buildings on fire, old film still", os.path.join("./examples", "fire.jpg")],
["Lonely evil bananas on a table, hard light chiaroscuro, realistic",os.path.join("./examples", "banana.jpg")],
["A futuristic hopeful busy city, purple and green color scheme", os.path.join("./examples", "city.jpg")]],
inputs = [textbox, dummy_img_output])
# model_selector_left.change(clear_history_side_by_side, inputs=None, outputs=[state0, state1, textbox, chatbot_left, chatbot_right], api_name="model_selector_left_side_by_side")
# model_selector_right.change(clear_history_side_by_side, inputs=None, outputs=[state0, state1, textbox, chatbot_left, chatbot_right], api_name="model_selector_right_side_by_side")
btn_list = [leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, regenerate_btn, clear_btn]
textbox.submit(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right],
api_name="textbox_side_by_side"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
send_btn.click(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right],
api_name="send_side_by_side"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
draw_btn.click(
gen_func_random,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right, textbox],
api_name="draw_side_by_side"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
regenerate_btn.click(
gen_func,
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
outputs=[state0, state1, chatbot_left, chatbot_right],
api_name="regenerate_side_by_side"
).then(
enable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
clear_btn.click(
clear_history_side_by_side,
inputs=None,
outputs=[state0, state1, textbox, chatbot_left, chatbot_right],
api_name="clear_btn_side_by_side"
).then(
disable_buttons_side_by_side,
inputs=None,
outputs=btn_list
)
leftvote_btn.click(
leftvote_last_response,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
rightvote_btn.click(
rightvote_last_response,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
tie_btn.click(
tievote_last_response,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
bothbad_btn.click(
bothbad_vote_last_response,
inputs=[state0, state1, model_selector_left, model_selector_right],
outputs=[textbox, leftvote_btn, rightvote_btn, tie_btn, bothbad_btn, model_selector_left, model_selector_right]
)
# share_btn.click(
# share_click,
# inputs=[state0, state1, model_selector_left, model_selector_right],
# outputs=[],
# js=share_js
# )
def build_single_model_ui(models, add_promotion_links=False):
promotion = (
"""
- | [Code](https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena/tree/main) | [Paper](https://arxiv.org/abs/2406.04485v1) | [Dataset](https://huggingface.co/datasets/TIGER-Lab/GenAI-Bench) |
"""
if add_promotion_links
else ""
)
notice_markdown = f"""
# ποΈ Play with Image Generation Models
{promotion}
## π€ Choose any model to generate
"""
state = gr.State()
gen_func = partial(generate_ig, models.generate_image_ig)
gen_func_random = partial(generate_ig_museum, models.generate_image_ig_museum)
gr.Markdown(notice_markdown, elem_id="notice_markdown")
model_list = models.model_ig_list
with gr.Row(elem_id="model_selector_row"):
model_selector = gr.Dropdown(
choices=model_list,
value=model_list[0] if len(model_list) > 0 else "",
interactive=True,
show_label=False
)
with gr.Row():
with gr.Accordion(
"π Expand to see all model descriptions",
open=False,
elem_id="model_description_accordion",
):
model_description_md = get_model_description_md(model_list)
gr.Markdown(model_description_md, elem_id="model_description_markdown")
with gr.Row():
textbox = gr.Textbox(
show_label=False,
placeholder="π Enter your prompt and press ENTER",
elem_id="input_box"
)
send_btn = gr.Button(value="Send", variant="primary", scale=0)
draw_btn = gr.Button(value="π² Random sample", variant="primary", scale=0)
with gr.Row():
chatbot = gr.Image()
with gr.Row() as button_row:
upvote_btn = gr.Button(value="π Upvote", interactive=False)
downvote_btn = gr.Button(value="π Downvote", interactive=False)
flag_btn = gr.Button(value="β οΈ Flag", interactive=False)
regenerate_btn = gr.Button(value="π Regenerate", interactive=False)
clear_btn = gr.Button(value="ποΈ Clear history", interactive=False)
#if add_promotion_links:
#gr.Markdown(acknowledgment_md, elem_id="ack_markdown")
pass
dummy_img_output = gr.Image(visible=False)
gr.Examples(
examples=[["a cute dog is playing a ball", os.path.join("./examples", "dog.jpg")],
["Buildings on fire, old film still", os.path.join("./examples", "fire.jpg")],
["Lonely evil bananas on a table, hard light chiaroscuro, realistic",os.path.join("./examples", "banana.jpg")],
["A futuristic hopeful busy city, purple and green color scheme", os.path.join("./examples", "city.jpg")]],
inputs = [textbox, dummy_img_output])
model_selector.change(clear_history, inputs=None, outputs=[state, textbox, chatbot], api_name="model_selector_single")
btn_list = [upvote_btn, downvote_btn, flag_btn, regenerate_btn, clear_btn]
textbox.submit(
gen_func,
inputs=[state, textbox, model_selector],
outputs=[state, chatbot],
api_name="submit_btn_single",
show_progress = "full"
).success(
enable_buttons,
inputs=None,
outputs=btn_list
)
send_btn.click(
gen_func,
inputs=[state, textbox, model_selector],
outputs=[state, chatbot],
api_name="send_btn_single",
show_progress = "full"
).success(
enable_buttons,
inputs=None,
outputs=btn_list
)
draw_btn.click(
gen_func_random,
inputs=[state, model_selector],
outputs=[state, chatbot, textbox],
api_name="draw_btn_single",
show_progress = "full"
).success(
enable_buttons,
inputs=None,
outputs=btn_list
)
upvote_btn.click(
upvote_last_response,
inputs=[state, model_selector],
outputs=[textbox, upvote_btn, downvote_btn, flag_btn]
)
downvote_btn.click(
downvote_last_response,
inputs=[state, model_selector],
outputs=[textbox, upvote_btn, downvote_btn, flag_btn]
)
flag_btn.click(
flag_last_response,
inputs=[state, model_selector],
outputs=[textbox, upvote_btn, downvote_btn, flag_btn]
)
regenerate_btn.click(
gen_func,
inputs=[state, textbox, model_selector],
outputs=[state, chatbot],
api_name="regenerate_btn_single",
show_progress = "full"
).success(
enable_buttons,
inputs=None,
outputs=btn_list
)
clear_btn.click(
clear_history,
inputs=None,
outputs=[state, textbox, chatbot],
api_name="clear_history_single",
show_progress="full"
).then(
disable_buttons,
inputs=None,
outputs=btn_list
)
|