Update app.py

app.py

@@ -14,6 +14,7 @@ def predict_sentiment(text, model):
         out = pipe(text, return_all_scores=True)
         return {pred["label"]: pred["score"] for pred in out}
     elif model == "vader":
+        nltk.download('vader_lexicon')
         sia = SentimentIntensityAnalyzer()
         return sia.polarity_scores(text)
         
@@ -34,7 +35,7 @@ with demo:
         with gr.TabItem("Multiple Inputs"):
             gr.Markdown("A more complex interface for sentiment analysis with multiple inputs, including a dropdown, and some examples")
             demo = gr.Interface(
-                sentence_builder,
+                predict_sentiment,
                 [
                     gr.TextBox(placeholder="Your text input"),
                     gr.Dropdown(