Added tokenizers package

app.py

@@ -3,7 +3,7 @@ import transformers as t
 import plotly.express as px
 import pandas as pd
 
-st.title("Phrase Feeling Analysis")
+st.title("Phrase Emotion Analysis")
 with st.spinner(text="Loading model..."):
     classifier = t.pipeline("zero-shot-classification",
                             model="facebook/bart-large-mnli",
@@ -18,7 +18,6 @@ candidate_labels = ['anger', 'sadness', 'fear', 'joy', 'interest',
                     'surprise', 'disgust', 'shame', 'compassion', 'other']
 
 if x != "":
-
     with st.spinner(text="Evaluating your input..."):
         output = classifier(x, candidate_labels)
         sentiment = sentiment_task(x)

requirements.txt

@@ -4,3 +4,4 @@ pandas
 plotly
 tensorflow
 torch
+tokenizers