Update app.py

app.py

@@ -14,7 +14,7 @@ https://github.com/pinecone-io/examples/tree/master/learn/algos-and-libraries/be
 # data = load_dataset('jamescalam/python-reddit')
 data = load_dataset("awacke1/LOINC-Panels-and-Forms")
 data = data.filter(
-    lambda x: True if len(x['selftext']) > 30 else 0
+    lambda x: True if len(x[0]) > 30 else 0
 )
 from bertopic import BERTopic
 from sklearn.feature_extraction.text import CountVectorizer
@@ -46,7 +46,7 @@ embeds = np.zeros((n, model.get_sentence_embedding_dimension()))
 
 for i in tqdm(range(0, n, batch_size)):
     i_end = min(i+batch_size, n)
-    batch = data['selftext'][i:i_end]
+    batch = data[0][i:i_end]
     batch_embed = model.encode(batch)
     embeds[i:i_end,:] = batch_embed