import streamlit as st | |
from transformers import pipeline | |
st.title("Hugging Face Model Demo") | |
def load_model(): | |
return pipeline("text-generation", model="klyang/MentaLLaMA-chat-7B") | |
model = load_model() | |
user_input = st.text_input("Enter your text:") | |
if user_input: | |
with st.spinner("Generating response..."): | |
result = model(user_input) | |
st.success(result[0]["generated_text"]) | |