Update app.py

app.py

@@ -30,8 +30,8 @@ rf_model.fit(X_train, y_train)
 sentences = [
    # "The announced restructuring will significantly decrease the company's indebtedness.",
     "UPM-Kymmene upgraded to `in-line' from `underperform' by Goldman Sachs.",
-    "$AAPL shares are breaking above the recent resistance level.",
-    "Profitability (in EBIT %) was 13.6%, compared to 14.3% in Q2 2009.",
+   # "$AAPL shares are breaking above the recent resistance level.",
+    "Profitability (in EBIT %) was not as good as in Q2 2009, with 13.6% compared to 14.3%.",
     "The Finnish bank has issued a profit warning.",
     "TeliaSonera's underlying results however included 457 mln SKr in positive one-offs, hence the adjusted underlying EBITDA actually amounts to 7.309 bln SKr, clearly below expectations, analysts said."
 ]