Create nex.py

nex.py

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+import json
+import pandas as pd
+from datasets import Dataset, DatasetDict
+
+# Load the JSON data
+with open('tech_quotes.json', 'r') as f:
+    data = json.load(f)
+
+# Convert JSON data to a DataFrame
+df = pd.DataFrame(data)
+
+# Create a Hugging Face dataset
+dataset = Dataset.from_pandas(df)
+
+# Optionally, split the dataset into train and test sets
+train_test_split = dataset.train_test_split(test_size=0.2)
+dataset_dict = DatasetDict({
+    'train': train_test_split['train'],
+    'test': train_test_split['test']
+})
+
+# Save the dataset locally
+dataset_dict.save_to_disk('tech_quotes_dataset')
+
+# Optionally, push the dataset to the Hugging Face Hub
+dataset_dict.push_to_hub('your-username/tech-quotes-dataset')