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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) |