| import streamlit as st | |
| import os | |
| from transformers import pipeline | |
| from bardapi import Bard | |
| import os | |
| bardkey = os.environ.get("BARD_API_KEY") | |
| bard = Bard(token=bardkey) | |
| classifi = pipeline(model="facebook/bart-large-mnli") | |
| def chatbot(): | |
| st.title("ChatBot") | |
| if message := st.chat_input("Enter your message"): | |
| ans = classifi(message, candidate_lables=["Reminder", "General Conversation"]) | |
| umsg = bard.get_answer(message)["content"] | |
| with st.chat_message("assistant"): | |
| st.write(umsg) | |
| st.write(ans) | |
| chatbot() |