Update app.py

trying config approach proposed by

@nateraw

app.py

@@ -16,8 +16,15 @@ api = HfApi()
 datasets = [d.id for d in api.list_datasets(filter="task_categories:text-classification", sort = "downloads", direction=-1, limit = 20)]
 
 dset = st.selectbox('Choose a dataset from the Hub', options=datasets)
+info = datasets.get_dataset_infos(dset)
 
-dset_split = st.selectbox('Choose a dataset split for evaluation', options=data.keys())
+dset_config = st.selectbox('What config do you want to use?', options=list(info))
+
+splitlist= []
+for s in info[dset_config].splits:
+  splitlist.append(s)
+
+dset_split = st.selectbox('Choose a dataset split for evaluation', options=splitlist)
 
 
 st.markdown("### Now select up to 5 models to compare their performance:")