app.py

import streamlit as st
from transformers import pipeline

messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="iGeniusAI/Italia-9B-Instruct-v0.1", trust_remote_code=True)
pipe(messages)


#pipe = pipeline('sentiment-analysis')
#text =st.text_area('dsfs')

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