| import streamlit as st | |
| from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM | |
| tokenizer = AutoTokenizer.from_pretrained("nakodanei/Blue-Orchid-2x7b") | |
| model = AutoModelForCausalLM.from_pretrained("nakodanei/Blue-Orchid-2x7b") | |
| pipe = pipeline('sentiment-analysis') | |
| text = st.text_area('enter some text!') | |
| if text: | |
| out = pipe(text) | |
| st.json(out) |