updated app file

app.py

@@ -46,7 +46,7 @@ def nucArg_app():
     }
 
     # Streamlit UI
-    st.title("Antibiotic Resistance Predictor")
+    st.title("Detecting Antimicrobial Resistance Genes")
     # st.write("This app predicts antibiotic resistance based on DNA sequences.")
 
     # Input sequence
@@ -58,10 +58,11 @@ def nucArg_app():
 
     if sequence:
         if len(sequence) <= 128:
+            st.write("Using Short Reads Model.")
             chunks = [sequence]  # No splitting needed
             model, tokenizer, class_mapping = model_short, tokenizer_short, short_read_classes
         else:
-            st.write("Input sequence is too large. Splitting into smaller chunks for processing.")
+            st.write("Using Long Reads Model.")
             chunks = split_sequence(sequence)
             model, tokenizer, class_mapping = model_long, tokenizer_long, long_read_classes
 
@@ -94,7 +95,7 @@ def nucArg_app():
                 'Probability': float(prob)
             })
         
-        type_probabilities = pd.DataFrame(type_probabilities).sort_values(by='Probability')#,ascending=False)
+        type_probabilities = pd.DataFrame(type_probabilities).sort_values(by='Probability')
         # type_probabilities = type_probabilities.set_index('Type')
         tp = type_probabilities.convert_dtypes()