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import os
import gradio as gr
from gradio_modal import Modal
from content import HEADER_MARKDOWN, LEADERBOARD_TAB_TITLE_MARKDOWN, SUBMISSION_TAB_TITLE_MARKDOWN
from leaderboard_server import LeaderboardServer
# Initialize server and task list
server = LeaderboardServer()
TASKS = list(server.tasks_metadata.keys())
EXPECTED_TOKEN = os.environ.get("SUBMISSION_TOKEN")
def get_datasets_for_task(task):
path = os.path.join("references", task)
if not os.path.exists(path):
return []
return [f.replace(".json", "") for f in os.listdir(path) if f.endswith(".json")]
def update_datasets(task):
return gr.CheckboxGroup.update(choices=get_datasets_for_task(task), value=[])
def submit_model(task, datasets, hyp_file, submitted_by, model_id, token):
if not hyp_file:
return gr.update(visible=True, value="⚠️ Please upload a hypothesis file."), gr.update(), gr.update(selected=1)
if not submitted_by.strip() or not model_id.strip() or not token.strip():
return gr.update(visible=True, value="⚠️ All fields are required."), gr.update(), gr.update(selected=1)
if token.strip() != EXPECTED_TOKEN:
return gr.update(visible=True, value="❌ Invalid submission token."), gr.update(), gr.update(selected=1)
metadata = {
"submitted_by": submitted_by.strip(),
"model_id": model_id.strip()
}
leaderboard_df = server.get_leaderboard()
existing = leaderboard_df[
(leaderboard_df["Submitted by"] == submitted_by.strip()) &
(leaderboard_df["Model ID"] == model_id.strip())
]
if not existing.empty:
return gr.update(value="❌ A submission with this name and model ID already exists.", visible=True), \
gr.update(), gr.update(selected=1), gr.update(visible=False)
try:
server.prepare_model_for_submission(hyp_file.name, metadata, task, datasets)
server.update_leaderboard()
leaderboard_df = server.get_leaderboard()
return gr.update(visible=True, value="✅ Submission successful!"), leaderboard_df, gr.update(selected=0)
except Exception as e:
return gr.update(visible=True, value=f"❌ Error: {str(e)}"), gr.update(), gr.update(selected=1)
# Gradio UI
with gr.Blocks() as demo:
gr.Markdown(HEADER_MARKDOWN)
with gr.Tabs(selected=0) as tabs:
with gr.Tab("📈 Leaderboard"):
gr.Markdown(LEADERBOARD_TAB_TITLE_MARKDOWN)
leaderboard_output = gr.Dataframe(
value=server.get_leaderboard(),
interactive=False,
label="Leaderboard"
)
with gr.Tab("📤 Submit"):
gr.Markdown(SUBMISSION_TAB_TITLE_MARKDOWN)
with gr.Row():
task_dropdown = gr.Dropdown(choices=TASKS, value=TASKS[0], label="Select Task")
dataset_checkboxes = gr.CheckboxGroup(choices=get_datasets_for_task(TASKS[0]), label="Select Datasets")
task_dropdown.change(fn=update_datasets, inputs=task_dropdown, outputs=dataset_checkboxes)
with gr.Row():
submitted_by_input = gr.Text(label="Submitted by")
model_id_input = gr.Text(label="Model Identifier")
token_input = gr.Text(label="Submission Token", type="password")
hyp_file_upload = gr.File(label="Upload Hypothesis JSON", file_types=[".json"])
submit_btn = gr.Button("Submit")
with Modal("Submission Feedback", visible=False) as loading_msg:
feedback_text = gr.Text(visible=True, label="⏳ Processing your submission...")
with Modal("Submission Feedback", visible=False) as modal:
feedback_text = gr.Text(visible=True, label="")
submit_btn.click(
lambda: gr.update(visible=True), # Show loading
outputs=loading_msg
).then(
fn=submit_model,
inputs=[task_dropdown, dataset_checkboxes, hyp_file_upload, submitted_by_input, model_id_input,
token_input],
outputs=[feedback_text, leaderboard_output, tabs],
show_progress=True
).then(
lambda: gr.update(visible=False),
outputs=loading_msg
).then(
lambda: gr.update(visible=True),
outputs=modal
)
# submit_btn.click(
# fn=submit_model,
# inputs=[
# task_dropdown, dataset_checkboxes, hyp_file_upload,
# submitted_by_input, model_id_input, token_input
# ],
# outputs=[feedback_text, leaderboard_output, tabs],
# show_progress=True
# ).then(
# lambda: gr.update(visible=True),
# outputs=modal
# )
if __name__ == "__main__":
demo.launch()
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