Update app.py

app.py

@@ -24,7 +24,7 @@ ds = load_dataset("CohereForAI/mmlu-translations-results", split="train", token=
 
 df = ds.to_pandas()
 
-st.title("MMLU Translations Progress")
+st.title("🌐 MMLU Translation Review Progress 📈")
 
 st.markdown(f"**Total tasks completed:** {len(ds)}")
 
@@ -61,7 +61,6 @@ st.table(language_counts_df)
 # Display the plot in the Streamlit app
 st.pyplot(fig)
 
-
 # Extract user_id from the is_edit_required field in the response column and count occurrences
 user_ids = df['responses'].apply(lambda x: x['is_edit_required']).explode().apply(lambda x: x['user_id'])
 user_id_counts = user_ids.value_counts()