| import json | |
| import os | |
| from datetime import datetime | |
| import pandas as pd | |
| def generate_request(model_id, precision, model_type, params): | |
| model_type = ( | |
| f"\ud83d\udfe2 : {model_type}" if model_type == "pretrained" else model_type | |
| ) | |
| data = { | |
| "model": model_id, | |
| "base_model": "", | |
| "revision": "main", | |
| "private": False, | |
| "precision": precision, | |
| "weight_type": "Original", | |
| "status": "PENDING", | |
| "submitted_time": (datetime.now()).strftime("%Y-%m-%dT%H:%M:%SZ"), | |
| "model_type": model_type, | |
| "likes": 0, | |
| "params": params, | |
| "license": "custom", | |
| "architecture": "", | |
| "sender": "mariagrandury", | |
| } | |
| os.makedirs(f"{model_id}", exist_ok=True) | |
| with open(f"{model_id}_eval_request_False_{precision}_Original.json", "w") as f: | |
| json.dump(data, f) | |
| def generate_requests(selection: str): | |
| df = pd.read_csv("scripts/models.csv") | |
| df = df[["status", "model_id", "precision", "model_type", "params"]] | |
| if selection == "pretrained": | |
| df = df[df["model_type"] == "pretrained"] | |
| elif selection == "instructed": | |
| df = df[df["model_type"] == "instruction-tuned"] | |
| elif selection == "todo": | |
| df = df[df["status"] == "To do"] | |
| for _, row in df.iterrows(): | |
| status, model_id, precision, model_type, params = row | |
| generate_request( | |
| model_id=model_id, | |
| precision=precision, | |
| model_type=model_type, | |
| params=params, | |
| ) | |
| if __name__ == "__main__": | |
| import argparse | |
| parser = argparse.ArgumentParser(description="Generate model requests.") | |
| parser.add_argument("--pretrained", action="store_true") | |
| parser.add_argument("--instructed", action="store_true") | |
| parser.add_argument("--todo", action="store_true") | |
| args = parser.parse_args() | |
| if args.pretrained: | |
| generate_requests("pretrained") | |
| elif args.instructed: | |
| generate_requests("instructed") | |
| elif args.todo: | |
| generate_requests("todo") | |
| else: | |
| print("Please select a valid option between: pretrained, instructed, todo, all") | |