replace state key for embeddings_df

needed to replace key so that state wouldn't get messed up between pages

apply_model.py

@@ -49,8 +49,8 @@ def get_smoothed_predictions(svm_model, test_embeds):
     predictions = multiclass_merge_and_filter_bouts(test_pred, bout_threshold, proximity_threshold)
     return predictions
 
-if "embeddings_df" not in st.session_state:
-    st.session_state.embeddings_df = None
+if "embeddings_df_apply" not in st.session_state:
+    st.session_state.embeddings_df_apply = None
 
 if "smoothed_predictions" not in st.session_state:
     st.session_state.smoothed_predictions = None
@@ -84,11 +84,11 @@ if submit_embed_settings and seq_file is not None and annot_files is not None:
                                 views=None,
                                 conditions=None,
                                 downsample_rate=downsample_rate)
-    st.session_state.embeddings_df = embeddings_df
+    st.session_state.embeddings_df_apply = embeddings_df
 
 elif embeddings_csv is not None:
     embeddings_df = pd.read_csv(embeddings_csv)
-    st.session_state.embeddings_df = embeddings_df
+    st.session_state.embeddings_df_apply = embeddings_df
 else:
     st.text('Please upload file(s).')
 
@@ -105,9 +105,9 @@ else:
     svm_clf = None
 
 st.divider()
-if st.session_state.embeddings_df is not None and svm_clf is not None:
+if st.session_state.embeddings_df_apply is not None and svm_clf is not None:
     st.subheader("specify dataset labels")
-    label_list = st.session_state.embeddings_df['Label'].to_list()
+    label_list = st.session_state.embeddings_df_apply['Label'].to_list()
     unique_label_list = get_unique_labels(label_list)
 
     with st.form('apply_model_settings'):
@@ -118,15 +118,15 @@ if st.session_state.embeddings_df is not None and svm_clf is not None:
         apply_model = st.form_submit_button("Apply Model")
 
     if apply_model:
-        if 'Test' in st.session_state.embeddings_df:
+        if 'Test' in st.session_state.embeddings_df_apply:
             test_videos = True
         else:
-            print(f'shape of df: {st.session_state.embeddings_df.shape[0]}')
-            test_videos_array = [True for i in range(st.session_state.embeddings_df.shape[0])]
-            st.session_state.embeddings_df['Test'] = test_videos_array
+            print(f'shape of df: {st.session_state.embeddings_df_apply.shape[0]}')
+            test_videos_array = [True for i in range(st.session_state.embeddings_df_apply.shape[0])]
+            st.session_state.embeddings_df_apply['Test'] = test_videos_array
             test_videos = True
 
-        kwargs = {'embeddings_df' : st.session_state.embeddings_df, 
+        kwargs = {'embeddings_df' : st.session_state.embeddings_df_apply, 
                 'specified_classes' : specified_classes,
                 'classes_to_remove' : None,
                 'max_class_size' : None,