Update dataset.py

dataset.py

@@ -1,29 +1,28 @@
-from datasets import load_dataset, Dataset
-import pandas as pd
+import json
+import os
 
-DATASET_NAME = "your-username/quotes-dataset"
+FILE_NAME = "quotes.json"
 
 def load_user_quotes():
-    """Load user-submitted quotes from Hugging Face Dataset"""
-    try:
-        dataset = load_dataset(DATASET_NAME)
-        return dataset["train"].to_pandas().to_dict(orient="records")
-    except:
+    """Load user-submitted quotes from a local file."""
+    if not os.path.exists(FILE_NAME):
         return []
+    with open(FILE_NAME, "r") as f:
+        return json.load(f)
 
 def save_user_quote(quote, author):
-    """Save a new user quote with upvotes"""
+    """Save a new user quote in the local file."""
     data = load_user_quotes()
-    data.append({"quote": quote, "author": author, "upvotes": 0})  # Default upvotes = 0
-
-    dataset = Dataset.from_pandas(pd.DataFrame(data))
-    dataset.push_to_hub(DATASET_NAME, split="train")
+    data.append({"quote": quote, "author": author, "upvotes": 0})
+    
+    with open(FILE_NAME, "w") as f:
+        json.dump(data, f)
 
 def upvote_quote(index):
-    """Increment upvote count for a quote"""
+    """Increment upvote count for a quote."""
     data = load_user_quotes()
     if 0 <= index < len(data):
         data[index]["upvotes"] += 1
 
-    dataset = Dataset.from_pandas(pd.DataFrame(data))
-    dataset.push_to_hub(DATASET_NAME, split="train")
+    with open(FILE_NAME, "w") as f:
+        json.dump(data, f)