Update app.py

app.py

@@ -13,7 +13,7 @@ st.title("Metric Compare")
 st.markdown("### Choose the dataset you want to use for the comparison:")
 
 api = HfApi()
-dsets = [d.id for d in api.list_datasets(filter="task_categories:text-classification", sort = "downloads", direction=-1, limit = 20)]
+dsets = [d.id for d in api.list_datasets(filter="task_categories:text-classification", sort = "downloads", direction=-1, limit = 20) if d.id not 'glue']
 
 dset = st.selectbox('Choose a dataset from the Hub', options=dsets)
 
@@ -37,29 +37,15 @@ models = st.multiselect(
      'Choose the models that have been trained/finetuned on this dataset', 
      options=all_models)
      
-button = st.button("Print Models",disabled=False)
 
-if button :
-   if len(location) < 6:
-       st.write(models)
-   else:
-       st.warning("Please select at most 5 models")
-     
 st.markdown("### What two metrics do you want to compare?")
 
 metrics = st.multiselect(
      'Choose the metrics for the comparison', 
      options=['f1', 'accuracy', 'precision', 'recall'])
      
-button2 = st.button("Print Metrics",disabled=False)
-
-if button2 :
-   if len(metrics ) < 3:
-       st.write(metrics)
-   else:
-       st.warning("Please select at most 2 metrics")
      
-st.markdown("### Now wait for the dataset and models to load (this can take some time if they are big!")
+st.markdown("### Please wait for the dataset and models to load (this can take some time if they are big!")
 
 ### Loading data
 try: