Update app.py

app.py

@@ -19,7 +19,7 @@ def load_qa_model():
 
     tokenizer = AutoTokenizer.from_pretrained('mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es', use_fast="false")
     model = TFDistilBertForQuestionAnswering.from_pretrained("mrm8488/distill-bert-base-spanish-wwm-cased-finetuned-spa-squad2-es", from_pt=True)
-    return model
+    return tokenizer, model
 
 # 4. Use streamlit to create a web app
 def main():
@@ -33,7 +33,7 @@ def main():
     df=cargar_articulos()
     articulos_indexados = pd.read_csv('articulos_indexados.csv')
     articulos_indexados = articulos_indexados.set_index('Unnamed: 0')
-    qa_model = load_qa_model()
+    tokenizer, qa_model = load_qa_model()
     
 
     query = st.text_input(