Update app.py

app.py

@@ -36,8 +36,8 @@ with st.form("patent-form"):
         model = AutoModelForSequenceClassification.from_pretrained(model_name)
         tokenizer = AutoTokenizer.from_pretrained(model_name)
         classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
-        abstract = df['abstract'].loc[df['patent_number'] == make_choice].astype("string")
-        X_train = abstract.astype("string")
+        abstract = df['abstract'].loc[df['patent_number'] == make_choice]
+        X_train = abstract.to_string()
         #X_train = abstract.values.tolist()
         results = classifier(X_train, truncation=True)
         #result = hupd_model(make_choice)[0]