chatbot.py

from streamlit_chat import message
from dotenv import load_dotenv
import openai
import streamlit as st
import os

load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")

def generate_response(prompt):
    completions = openai.Completion.create(
        engine = "text-davinci-003",
        prompt = prompt,
        max_tokens = 1024,
        stop = None,
        temperature = 0.3,
    )  
    message = completions.choices[0].text
    return message

st.title("eTutor Chatbot!")

if 'generated' not in st.session_state:
    st.session_state['generated'] = []
    
if 'past' not in st.session_state:
    st.session_state['past'] = []
    
# We will get the user's input by calling the get_text function
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:
    output = generate_response(user_input)
    # store the output 
    st.session_state.past.append(user_input)
    st.session_state.generated.append(output)
    
if st.session_state['generated']:
    for i in range(len(st.session_state['generated'])-1, -1, -1):
        message(st.session_state["generated"][i], key=str(i))
        message(st.session_state['past'][i], is_user=True, key=str(i) + '_user')