Update app.py

app.py

@@ -9,11 +9,11 @@ from transformers import pipeline
 #
 # model = load_model()
 
-@st.cache_resource  # кэширование
-def load_model():
-    return pipeline("sentiment-analysis")  # скачивание модели
+# @st.cache_resource  # кэширование
+# def load_model():
+#     return pipeline("sentiment-analysis")  # скачивание модели
 
-model = load_model()
+# model = load_model()
 
 def top_pct(preds, threshold=.95):
     preds = sorted(preds, key=lambda x: -x["score"])
@@ -93,5 +93,5 @@ if query:
     """, unsafe_allow_html=True)
     # result = format_predictions(top_pct(model(query)[0]))
     # result = query
-    result = model(query)[0]
+    # result = model(query)[0]
     st.write(result)