add upvotes filter

app.py

@@ -8,8 +8,9 @@ st.markdown("<h1 style='text-align: center; color: #00BFFF;'>Kaggle Notebooks in
 
 st.markdown("Here you can inspect Kaggle notebooks that were converted to python scripts and deduplicated.")
 @st.cache()
-def load_data():
+def load_data(upvote=0):
  ds = load_dataset("loubnabnl/subset_kaggle_scripts", split="train")
+ ds = ds.filter(lambda x: x["upvotes"] >= upvote)
  return ds
 
 def show_extra_info(e):
@@ -29,7 +30,10 @@ def show_extra_info(e):
  text = f"The title of the notebook is: **{kv['Title']}** and it has **{kv['TotalVotes']} ⬆️ upvotes**.{data_text}"
  return text
 
-samples = load_data()
-index_example = st.number_input(f"Chose a sample from the existing {len(samples)} notebooks:", min_value=0, max_value=len(samples)-1, value=0, step=1)
+
+vote = st.sidebar.slider("Minimum notebook ⬆️ upvotes", min_value=0, max_value=100, step=1, value=0)
+samples = load_data(vote)
+index_example = st.sidebar.number_input(f"Choose a sample from the existing {len(samples)} notebooks:", min_value=0, max_value=max(0, len(samples)-1), value=0, step=1)
+
 st.markdown(show_extra_info(samples[index_example]), unsafe_allow_html=True)
 st.code(samples[index_example]["script"])