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| import os | |
| import logging | |
| import pandas as pd | |
| import gradio as gr | |
| from gradio.themes.utils.sizes import text_md | |
| from content import (HEADER_MARKDOWN, LEADERBOARD_TAB_TITLE_MARKDOWN, SUBMISSION_TAB_TITLE_MARKDOWN, | |
| MY_SUBMISSIONS_TAB_TITLE_MARKDOWN) | |
| from validation import validate_zip | |
| from server import LeaderboardServer | |
| logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') | |
| lb_server = LeaderboardServer() | |
| LEADERBOARD_TYPES = ['NOTSOFAR-MC', 'NOTSOFAR-SC', 'DASR-Constrained-LM', 'DASR-Unconstrained-LM'] | |
| MAX_SUBMISSIONS_PER_24H = os.environ['MAX_SUBMISSIONS_PER_24H'] | |
| DATASET_VERSIONS = ['dev-set-1', 'dev-set-2'] | |
| CHALLENGE_NAME = 'NOTSOFAR1' | |
| with (gr.Blocks(theme=gr.themes.Soft(text_size=text_md), css="footer {visibility: hidden}") as main): | |
| app_state = gr.State({}) | |
| with gr.Row(): | |
| with gr.Row(): | |
| gr.Markdown(HEADER_MARKDOWN) | |
| with gr.Row(): | |
| # Leaderboards Tab # | |
| #################### | |
| def populate_leaderboard(leaderboard_type, dataset_version): | |
| leaderboard_df = lb_server.get_leaderboard( | |
| submission_type=leaderboard_type, dataset_version=dataset_version) | |
| if leaderboard_df.empty: | |
| return pd.DataFrame(columns=['No submissions yet']) | |
| return leaderboard_df | |
| def create_leaderboard_tab(tab_name: str, idx: int, dataset_version_dropdown: gr.Dropdown): | |
| dataset_version = dataset_version_dropdown.value | |
| print(f'Creating tab for {tab_name}, idx={idx}, dataset_version={dataset_version_dropdown}') | |
| with gr.Tab(id=tab_name, label=tab_name) as leaderboard_tab: | |
| leaderboard_table = gr.DataFrame(populate_leaderboard(tab_name, dataset_version)) if idx == 0 \ | |
| else gr.DataFrame(pd.DataFrame(columns=['No submissions yet'])) | |
| leaderboard_tab.select(fn=populate_leaderboard, | |
| inputs=[gr.Text(tab_name, visible=False), dataset_version_dropdown], | |
| outputs=[leaderboard_table]) | |
| return leaderboard_table | |
| def on_dropdown_change(dataset_version): | |
| first_tab_name = LEADERBOARD_TYPES[0] | |
| return gr.Tabs(selected=first_tab_name), populate_leaderboard(first_tab_name, dataset_version) | |
| with gr.Tab('Leaderboards') as leaderboards_tab: | |
| with gr.Row(): | |
| gr.Markdown(LEADERBOARD_TAB_TITLE_MARKDOWN) | |
| with gr.Row(): | |
| with gr.Column(): | |
| dataset_version_drop = gr.Dropdown(choices=DATASET_VERSIONS, multiselect=False, | |
| value=DATASET_VERSIONS[-1], label="Dataset", interactive=True) | |
| with gr.Column(): | |
| gr.Markdown('') # Empty column for spacing | |
| with gr.Column(): | |
| gr.Markdown('') # Empty column for spacing | |
| with gr.Column(): | |
| gr.Markdown('') # Empty column for spacing | |
| with gr.Row(): | |
| with gr.Tabs() as leaderboards_tabs: | |
| leaderboard_tables_list = [] | |
| for leaderboard_idx, leaderboard_type in enumerate(LEADERBOARD_TYPES): | |
| l_tab = create_leaderboard_tab(leaderboard_type, leaderboard_idx, dataset_version_drop) | |
| leaderboard_tables_list.append(l_tab) | |
| dataset_version_drop.select(fn=on_dropdown_change, inputs=[dataset_version_drop], | |
| outputs=[leaderboards_tabs, leaderboard_tables_list[0]]) | |
| # Submission Tab # | |
| ################## | |
| with gr.Tab('Submission'): | |
| with gr.Column(): | |
| def on_submit_pressed(): | |
| return gr.update(value='Processing submission...', interactive=False) | |
| def validate_submission_inputs(team_name, submission_zip, submission_type, token): | |
| if not team_name or not submission_zip or not submission_type: | |
| raise ValueError('Please fill in all fields') | |
| if not os.path.exists(submission_zip): | |
| raise ValueError('File does not exist') | |
| if not submission_zip.endswith('.zip'): | |
| raise ValueError('File must be a zip') | |
| if not token: | |
| raise ValueError('Please insert a valid Hugging Face token') | |
| def process_submission(team_name, submission_zip, submission_type, description, | |
| app_state, request: gr.Request): | |
| logging.info(f'{team_name}: new submission for track: {submission_type}') | |
| try: | |
| token = app_state.get('hf_token') | |
| validate_submission_inputs(team_name, submission_zip, submission_type, token) | |
| validate_zip(submission_type, submission_zip) | |
| except ValueError as err: | |
| gr.Warning(str(err)) | |
| return | |
| metadata = {'challenge_name': CHALLENGE_NAME, | |
| "dataset_version": DATASET_VERSIONS[-1], | |
| 'team_name': team_name, | |
| 'submission_type': submission_type, | |
| 'description': description, | |
| 'token': token, | |
| 'file_name': os.path.basename(submission_zip), | |
| 'file_size_mb': os.path.getsize(submission_zip) / 1024 / 1024, | |
| 'ip': request.client.host} | |
| try: | |
| gr.Info('Processing submission...') | |
| response = lb_server.add_submission(token=token, file_path=submission_zip, metadata=metadata) | |
| if 'error' in response: | |
| gr.Warning(f'Failed to process submission - {response["error"]}') | |
| else: | |
| gr.Info('Done processing submission') | |
| except Exception as e: | |
| gr.Warning(f'Submission failed to upload - {e}') | |
| def on_submit_done(): | |
| return gr.update(value='Submit', interactive=True) | |
| gr.Markdown(SUBMISSION_TAB_TITLE_MARKDOWN) | |
| submission_team_name_tb = gr.Textbox(label='Team Name') | |
| submission_file_path = gr.File(label='Upload your results', type='filepath') | |
| submission_type_radio = gr.Radio(label='Submission Track', choices=LEADERBOARD_TYPES) | |
| with gr.Row(): | |
| hf_token_tb = gr.Textbox(label='Token', type='password') | |
| submissions_24h_txt = gr.Textbox(label='Submissions 24h', value='') | |
| description_tb = gr.Textbox(label='Description', type='text') | |
| submission_btn = gr.Button(value='Submit', interactive=True) | |
| gr.Markdown('### * Please make sure you are using NOTSOFAR dev-set-2 for your submissions') | |
| submission_btn.click( | |
| fn=on_submit_pressed, | |
| outputs=[submission_btn] | |
| ).then( | |
| fn=process_submission, | |
| inputs=[submission_team_name_tb, submission_file_path, | |
| submission_type_radio, description_tb, app_state] | |
| ).then( | |
| fn=on_submit_done, | |
| outputs=[submission_btn] | |
| ) | |
| # My Submissions Tab # | |
| ###################### | |
| with gr.Tab('My Submissions') as my_submissions_tab: | |
| def on_my_submissions_tab_select(app_state): | |
| hf_token = app_state.get('hf_token') | |
| if not hf_token: | |
| return pd.DataFrame(columns=['Please insert your Hugging Face token']) | |
| submissions = lb_server.get_submissions_by_hf_token(hf_token=hf_token) | |
| if submissions.empty: | |
| submissions = pd.DataFrame(columns=['No submissions yet']) | |
| return submissions | |
| gr.Markdown(MY_SUBMISSIONS_TAB_TITLE_MARKDOWN) | |
| my_submissions_table = gr.DataFrame() | |
| my_submissions_tab.select(fn=on_my_submissions_tab_select, inputs=[app_state], | |
| outputs=[my_submissions_table]) | |
| my_submissions_token_tb = gr.Textbox(label='Token', type='password') | |
| def on_token_insert(hf_token, app_state): | |
| gr.Info(f'Verifying token...') | |
| submission_count = None | |
| if hf_token: | |
| submission_count = lb_server.get_submission_count_last_24_hours(hf_token=hf_token) | |
| if submission_count is None: | |
| # Invalid token | |
| app_state['hf_token'] = None | |
| submissions_24h_str = '' | |
| team_submissions_df = pd.DataFrame(columns=['Invalid Token']) | |
| gr.Warning('Invalid token') | |
| else: | |
| app_state['hf_token'] = hf_token | |
| submissions_24h_str = f'{submission_count}/{MAX_SUBMISSIONS_PER_24H}' | |
| team_submissions_df = lb_server.get_submissions_by_hf_token(hf_token=hf_token) | |
| if team_submissions_df.empty: | |
| team_submissions_df = pd.DataFrame(columns=['No submissions yet']) | |
| gr.Info('Token verified!') | |
| return app_state, team_submissions_df, submissions_24h_str | |
| hf_token_tb.change(fn=on_token_insert, inputs=[hf_token_tb, app_state], | |
| outputs=[app_state, my_submissions_table, submissions_24h_txt]) | |
| my_submissions_token_tb.change(fn=on_token_insert, inputs=[my_submissions_token_tb, app_state], | |
| outputs=[app_state, my_submissions_table, submissions_24h_txt]) | |
| main.launch() | |