Update app.py

app.py

@@ -16,11 +16,12 @@ def load_data(min_score=0.4, exclude_stories=True):
         ds = ds.filter(lambda x: "story" not in x["format"])
     return ds
 
-
-min_value = st.slider('Select minimum selfcheck score', 0.0, 1.0, 0.1, key='min_score')
 exclude_stories = st.checkbox("Exclude stories", False)
+maximum_score = 1.0 if not exclude_stories else 0.7
+min_value = st.slider('Select minimum selfcheck score', 0.0, maximum_score, 0.1, key='min_score')
+
 ds = load_data(min_score=min_value, exclude_stories=exclude_stories)
-index = st.number_input(f'Found {len(ds)} samples, choose one', min_value=0, max_value=len(ds)-1, value=0, step=1)
+index = st.number_input(f'Found {len(ds)} samples, choose one (max score is {max(ds['passage_score'])}', min_value=0, max_value=len(ds)-1, value=0, step=1)
 
 # Load data based on slider values and checkbox status
 sample = ds[index]