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import json
import os
from datasets import load_dataset
class get_files:
def predefined_dataset(dataset_name):
global dataset # bad practice, I know... But just bear with me. Will later update to state dict.
dataset = load_dataset(dataset_name, split = "train")
return 'Successfully loaded dataset'
def uploaded_dataset(file):
global dataset # bad practice, I know... But just bear with me. Will later update to state dict.
dataset = []
if file is None:
return "File not found. Please upload the file again."
try:
with open(file,'r') as file:
for line in file:
dataset.append(json.loads(line.strip()))
return "File retrieved."
except FileNotFoundError:
return "File not found. Please upload the file again."
def load_markdown_file(file_path):
try:
with open(file_path, 'r') as f:
return f.read()
except FileNotFoundError:
return "File not found. Please check the file path."
except Exception as e:
return f"Error loading file: {str(e)}"
def json_cfg():
"""Retrieve configuration file"""
config_path = os.getenv('CONFIG_PATH')
with open(config_path, 'r') as file:
config = json.load(file)
return config |