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")