Update app.py

app.py

@@ -21,6 +21,7 @@ st.write("This is my Streamlit app with HTML and CSS formatting.")
 
 query = st.text_input("Enter a word")
 # query = input ("Enter your keyword(s):")
+query = query.lower()
 
 if query:
     model = Word2Vec.load("pubmed_model_clotting")  # you can continue training with the loaded model!
@@ -93,8 +94,8 @@ if query:
     st.write(df1.head(50))
 
 
-    arrow_dataset = Dataset.from_pandas(df1.head(50))
-    arrow_dataset.save_to_disk("https://huggingface.co/datasets/jfataphd/word2vec_dataset/sim2")
+    # arrow_dataset = Dataset.from_pandas(df1.head(50))
+    # arrow_dataset.save_to_disk("https://huggingface.co/datasets/jfataphd/word2vec_dataset/sim2")
 
     # arrow_dataset_reloaded = load_from_disk('sim2.js')
     # arrow_dataset_reloaded