Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 from datasets import load_dataset
 import pandas as pd
+from huggingface_hub import create_repo
 
 dataset = load_dataset("torileatherman/sentiment_analysis_batch_predictions", split='train')
 predictions_df = pd.DataFrame(dataset)
@@ -44,7 +45,11 @@ def thanks(sentiment):
     labeled_sentiments = []
     labeled_sentiments.append(sentiment)
     counter = len(labeled_sentiments)
-    labeled_sentiments.write_to_directory("torileatherman/labeled_data_"+counter+"/")
+    # create repo
+    create_repo("torileatherman/"+counter+"labeled_data")
+    # push to repo
+    labeled_sentiments = Dataset.from_pandas(labeled_sentiments)
+    labeled_sentiments.push_to_hub("torileatherman/"+counter+"labeled_data")
     return f"""Thank you for making our model better!"""