app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM  
import torch

# Use a medium sized model 
model_name = "microsoft/DialoGPT-medium"  

model = AutoModelForCausalLM.from_pretrained(model_name)
model.eval() # Make sure model is in evaluation mode

tokenizer = AutoTokenizer.from_pretrained(model_name)

st.title("Buddy Christ Chatbot")

user_input = st.text_input("You:", "")

if user_input:

  inputs = tokenizer.encode(user_input, return_tensors="pt")
  
  response = model.generate(inputs, 
                            max_length=1000, 
                            temperature=0.8, 
                            top_k=50,
                            pad_token_id=tokenizer.eos_token_id)
                            
  response_text = tokenizer.decode(response[0], skip_special_tokens=True)
  
  st.write("Buddy Christ:", response_text)