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| import os | |
| import json | |
| import datetime | |
| from email.utils import parseaddr | |
| from io import BytesIO | |
| from huggingface_hub import HfApi | |
| import gradio as gr | |
| from eval_utils import get_evaluation_scores | |
| # Constants | |
| LEADERBOARD_PATH = "Exploration-Lab/IL-TUR-Leaderboard" | |
| SUBMISSION_FORMAT = "predictions" | |
| TOKEN = os.environ.get("TOKEN", None) | |
| YEAR_VERSION = "2024" | |
| api = HfApi(token=TOKEN) | |
| # Helper functions for formatting messages | |
| def format_message(msg, color): | |
| return f"<p style='color: {color}; font-size: 20px; text-align: center;'>{msg}</p>" | |
| def format_error(msg): | |
| return format_message(msg, "red") | |
| def format_warning(msg): | |
| return format_message(msg, "orange") | |
| def format_log(msg): | |
| return format_message(msg, "green") | |
| def model_hyperlink(link, model_name): | |
| return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>' | |
| def input_verification(method_name, url, path_to_file, organisation, mail): | |
| """Verify the input fields for submission.""" | |
| # Check if any field is empty | |
| if any( | |
| input == "" for input in [method_name, url, path_to_file, organisation, mail] | |
| ): | |
| return format_warning("Please fill all the fields.") | |
| # Check if file is attached | |
| if path_to_file is None: | |
| return format_warning("Please attach a file.") | |
| return | |
| def add_new_eval( | |
| method_name: str, | |
| submitted_by: str, | |
| url: str, | |
| path_to_file: str, | |
| organisation: str, | |
| mail: str, | |
| ): | |
| """Add a new evaluation to the leaderboard.""" | |
| # Verify input | |
| # Check if any field is empty | |
| if any( | |
| input == "" for input in [method_name, url, path_to_file, organisation, mail] | |
| ): | |
| return format_warning("Please fill all the fields.") | |
| # Check if file is attached | |
| if path_to_file is None: | |
| return format_warning("Please attach a file.") | |
| # Verify email format | |
| _, parsed_mail = parseaddr(mail) | |
| if "@" not in parsed_mail: | |
| print(parseaddr(mail)) | |
| return format_warning("Please provide a valid email address.") | |
| # Process submission | |
| if SUBMISSION_FORMAT == "predictions": | |
| # Read submission and gold data | |
| with open(path_to_file, "r") as f: | |
| submission_data = json.load(f) | |
| with open("submissions/baseline/IL_TUR_eval_gold_small.json", "r") as f: | |
| gold_data = json.load(f) | |
| # Get evaluation scores | |
| submission = get_evaluation_scores(gold_data, submission_data) | |
| else: | |
| # Read submission directly if it's not in predictions format | |
| with open(path_to_file, "r") as f: | |
| submission = json.load(f) | |
| # Update results | |
| with open("submissions/baseline/results.json", "r") as f: | |
| results = json.load(f) | |
| results.append(submission[0]) | |
| # Prepare buffer for upload | |
| leaderboard_buffer = BytesIO(json.dumps(results).encode()) | |
| leaderboard_buffer.seek(0) | |
| # Upload to Hugging Face | |
| api.upload_file( | |
| repo_id=LEADERBOARD_PATH, | |
| path_in_repo="submissions/baseline/results.json", | |
| path_or_fileobj=leaderboard_buffer, | |
| token=TOKEN, | |
| repo_type="space", | |
| ) | |
| return format_log( | |
| f"Method {method_name} submitted by {organisation} successfully. \n" | |
| "Please refresh the leaderboard, and wait for the evaluation results." | |
| ) | |