src/streamlit_app.py

import os
import streamlit as st
from transformers import pipeline

# ✅ Custom cache directory
CUSTOM_CACHE_DIR = "./hf_cache"
os.makedirs(CUSTOM_CACHE_DIR, exist_ok=True)
os.environ["TRANSFORMERS_CACHE"] = CUSTOM_CACHE_DIR

@st.cache_resource
def load_chatbot_model():
    # ✅ Use text2text-generation for BlenderBot
    return pipeline("text2text-generation", model="facebook/blenderbot-400M-distill")

chatbot = load_chatbot_model()

st.title("💬 BlenderBot Chatbot")

user_input = st.text_input("You:")
if st.button("Send") and user_input:
    response = chatbot(user_input, max_length=100)
    st.write("🤖:", response[0]["generated_text"])