app.py

# -*- coding: utf-8 -*-
"""
Created on Thu Sep 21 22:17:43 2023

@author: Loges
"""

import streamlit as st
import sentencepiece
from transformers import pipeline, T5Tokenizer, T5ForConditionalGeneration

model=T5ForConditionalGeneration.from_pretrained("Logeswaransr/results_T5").to("cpu")
tokenizer=T5Tokenizer.from_pretrained("Logeswaransr/results_T5")

pipe=pipeline('text2text-generation', model=model, tokenizer=tokenizer)

st.set_page_config(page_title='Sample Chatbot', layout='wide')

if 'messages' not in st.session_state:
    st.session_state.messages=[]

st.subheader("Mine AI")

for message in st.session_state.messages:
    with st.chat_message(message['role']):
        st.markdown(message['content'])
        
## messages element format: {'role':'user', 'content':'<user prompt>'}

if prompt:=st.chat_input("What is up!"):
    with st.chat_message("user"):
        st.markdown(prompt)
        
    st.session_state.messages.append({
        'role':'user',
        'content': prompt})

    out=pipe(prompt)
    
    response = f"Analysis: {out}"
    
    with st.chat_message("assistant"):
        st.markdown(response)
        
    st.session_state.messages.append({
        'role':'assistant',
        'content': response})