Upload 2 files

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+#import torch
+from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
+from transformers import pipeline
+
+#st.title("Enter Phrase: ")
+uInput = st.text_input("Enter Phrase: ")
+
+
+pipe = pipeline(model="finiteautomata/bertweet-base-sentiment-analysis")
+data = [uInput]
+#pipeline(data)
+
+col1, col2 = st.columns(2)
+
+predictions = pipe(data)
+
+col2.header("Probabilities")
+for p in predictions:
+    col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch