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import streamlit as st | |
from transformers import pipeline | |
# Initialize the model and tokenizer for CPU | |
generate_text = pipeline( | |
model="PAIXAI/Astrid-1B", | |
torch_dtype="auto", | |
trust_remote_code=True, | |
use_fast=True | |
) | |
# Streamlit UI | |
st.title("Astrid-1B Chatbot") | |
st.write("Test the Astrid-1B chatbot from Hugging Face!") | |
user_input = st.text_input("Enter your question:") | |
if user_input: | |
response = generate_text(user_input, min_new_tokens=2, max_new_tokens=256, do_sample=False, num_beams=1, temperature=0.3, repetition_penalty=1.2, renormalize_logits=True) | |
st.write("Response:", response[0]["generated_text"]) | |
st.write("Note: This is a simple UI for demonstration purposes. Ensure you have the required libraries installed and adjust the model parameters as needed.") | |