import streamlit as st
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)

# # Streamlit app
# st.title("Simple Emotion Analyzer")


pipe = pipeline('sentiment-analysis')

# Input text
text = st.text_area("Enter text to analyze:")

if text:
    result = pipe(text)
    st.json(result)