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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")
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