import streamlit as st
from transformers import pipeline
from transformers import AutoTokenizer
from transformers import AutoModelForCausalLM



#pipe = pipeline('sentiment-analysis')

pipe = pipeline("text-generation", model="openchat/openchat_3.5")
text = st.text_area('enter some text!')

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

#Reference
#GPT4 Correct User: Hello<|end_of_turn|>GPT4 Correct Assistant: Hi<|end_of_turn|>GPT4 Correct User: How are you today?<|end_of_turn|>GPT4 Correct Assistant: