app.py

from model import model
#from vectorstore import similarity_search
import time
import numpy as np
import pandas as pd
import streamlit as st



if "model" not in st.session_state:
    st.session_state["model"] = "unsloth/gemma-7b-bnb-4bit"

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])


if prompt := st.chat_input("Pregúntale a Don Simón"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)

    with st.chat_message("assistant"):
        stream = model(prompt,max_new_tokens=50)
        #stream = prompt
        response = st.write(stream)
        st.session_state.messages.append({"role": "assistant", "content": stream})


print(st.session_state)