Fix abstract list

app.py

@@ -5,7 +5,6 @@ from transformers import pipeline, DistilBertForSequenceClassification, DistilBe
 MODEL_OPTS = ['finetuned', 'default', 'bertweet-base-sentiment-analysis', 'twitter-roberta-base', 'distilRoberta-financial-sentiment']
 FINETUNED_OPT = MODEL_OPTS[0]
 DEFAULT_OPT = MODEL_OPTS[1]
-abstracts = []
 
 # Helper function
 def map_decision_to_string(example):
@@ -21,8 +20,8 @@ def load_abstracts():
         val_filing_start_date='2016-01-01',
         val_filing_end_date='2016-01-01',
     )
-    abstracts = dataset_dict['train']['abstract']
     dataset_dict = [] # free up space
+    return dataset_dict['train']['abstract']
 
 # returns loaded model and tokenizer, if any
 def load_model(opt):
@@ -59,6 +58,7 @@ def sentiment_analysis(model, tokenizer):
 st.title('Finetuned Harvard USPTO Patent Dataset (using DistilBert-Base-Uncased)')
 st.markdown('Link to the app - [sentiment-analysis-app](https://huggingface.co/spaces/saccharinedreams/sentiment-analysis-app)')
 
+abstracts = load_abstracts()
 dropdown_abstracts = st.selectbox('Select one of the following abstracts from the HUPD dataset:', abstracts, index=abstracts.index(abstracts[0]))
 model, tokenizer = load_model('finetuned')
 

finetunehupd.ipynb

@@ -1260,6 +1260,14 @@
     "# model.eval()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "567bcfcd-cb0d-4f3e-98a3-51f5c6ed5d1d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 5,