Update app.py

app.py

@@ -1,17 +1,20 @@
 import streamlit as st
-from transformers import BertForSequenceClassification, BertTokenizerFast, pipeline
+from transformers import pipeline
 
-model_path = "./"
-model = BertForSequenceClassification.from_pretrained(model_path)
-tokenizer = BertTokenizerFast.from_pretrained(model_path)
-nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
+# model_path = "./"
+# model = BertForSequenceClassification.from_pretrained(model_path)
+# tokenizer = BertTokenizerFast.from_pretrained(model_path)
+# nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
-# Streamlit app
-st.title("Simple Emotion Analyzer")
+# # Streamlit app
+# st.title("Simple Emotion Analyzer")
+
+
+pipe = pipeline('sentiment-analysis')
 
 # Input text
 text = st.text_area("Enter text to analyze:")
 
 if text:
-    result = nlp(text)
+    result = pipe(text)
     st.json(result)