add enzyme buttons

app.py

@@ -9,25 +9,35 @@ ENTRY_METHODS = dict(
     fasta="Fasta file upload (supports multiple transcripts if they have unique ID's)"
 )
 CRISPR_MODELS = ['Cas9', 'Cas12', 'Cas13d']
+
 selected_model = st.selectbox('Select CRISPR model:', CRISPR_MODELS, key='selected_model')
 
-def load_model(model_name):
-    if model_name == 'Cas9':
-        # Placeholder for Cas9 model loading
-        # TODO: Implement Cas9 model loading logic
-        raise NotImplementedError("Cas9 model loading not implemented yet.")
-    elif model_name == 'Cas12':
+# Check if the selected model is Cas9
+if selected_model == 'Cas9':
+    # Display buttons for the Cas9 model
+    if st.button('SPCas9_U6'):
+        # Placeholder for action when SPCas9_U6 is clicked
+        pass
+    if st.button('SPCas9_t7'):
+        # Placeholder for action when SPCas9_t7 is clicked
+        pass
+    if st.button('eSPCas9'):
+        # Placeholder for action when eSPCas9 is clicked
+        pass
+    if st.button('SPCas9_HF1'):
+        # Placeholder for action when SPCas9_HF1 is clicked
+        pass
+elif model_name == 'Cas12':
         # Placeholder for Cas12 model loading
         # TODO: Implement Cas12 model loading logic
         raise NotImplementedError("Cas12 model loading not implemented yet.")
-    elif model_name == 'Cas13d':
+elif model_name == 'Cas13d':
         # Assuming tiger module is for Cas13
-        return tiger.load_model()  # Assuming there's a load_model function in tiger.py
-    else:
+        tiger.load_model()  # Assuming there's a load_model function in tiger.py
+else:
         raise ValueError(f"Unknown model: {model_name}")
 
 
-
 @st.cache_data
 def convert_df(df):
     # IMPORTANT: Cache the conversion to prevent computation on every rerun