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import os
import json
from tqdm import tqdm
import time
data = []
with open("./data.json", "r") as f:
for line in f:
data.append(eval(line))
print(data)
# model = 'gpt-4-turbo'
# model = 'gpt-4o-2024-05-13'
model = 'gpt-3.5-turbo-0125'
# model = 'baseline'
# model = 'gpt-3.5-turbo-0125-autoagent'
# model = 'gpt-4o-2024-05-13-autoagent'
# model = 'llama3-autoagent'
gt_path = "./data/answers/"
# pred_path = gt_path
python_path = "./evaluation/"
pred_path = f"./output_model/{model}/"
save_path = f'./save_performance/{model}'
for line in data:
# print(line['name'])
answer_file = gt_path + line['name'] + '/test_answer.csv'
pred_file = pred_path + line['name'] + '.csv'
# pred_file = pred_path + line['name'] + '/test_answer.csv'
# print(pred_file)
if os.path.exists(pred_file):
# print(pred_file)
if not os.path.exists(os.path.join(save_path, line['name'])):
os.makedirs(os.path.join(save_path, line['name']))
print(f"compute performance for {line['name']}")
os.system(f"python {python_path}{line['name']}_eval.py --answer_file {answer_file} --predict_file {pred_file} --path {save_path} --name {line['name']}") |