streamlit_interface.py

import streamlit as st
from streamlit_chat import message
import os 

##### Importing JIN-e
from jine import Jine
from dotenv import load_dotenv
import os


load_dotenv()
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
DATA_DIRECTORY = os.getenv("DATA_DIRECTORY")
VECTOR_STORE_DIRECTORY = os.getenv("VECTOR_STORE_DIRCTORY")
VECTOR_STORE_CHECK = os.getenv("VECTOR_STORE_CHECK")
DEBUG = os.getenv("DEBUG")
USE_HYDE = os.getenv("USE_HYDE")

# Initialize Jine


@st.cache_resource()
def load_model():
    jine = Jine(OPENAI_API_KEY, VECTOR_STORE_DIRECTORY, VECTOR_STORE_CHECK, DATA_DIRECTORY, DEBUG,USE_HYDE)
    jine.load_model()
    return jine

jine =load_model()

import streamlit as st
from streamlit_chat import message

# st.set_page_config(
#     page_title="JIN-e",
#     page_icon=":robot:"
# )
# #

st.header("JIN-e")
st.markdown("Powered by People Analytics")

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

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

# def query(payload):
# 	response = requests.post(API_URL, headers=headers, json=payload)
# 	return response.json()

def get_text():
    input_text = st.text_input("You: ","Hello, how are you?", key="input")
    return input_text 


user_input = get_text()

if user_input:

    response = jine.chat(user_input)

    st.session_state.past.append(user_input)
    st.session_state.generated.append(response)

if st.session_state['generated']:

    for i in range(len(st.session_state['generated'])-1, -1, -1):
        message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')
        message(st.session_state["generated"][i], key=str(i))