app.py

import streamlit as st
from transformers import pipeline
import torch 


def main():
    st.title("Chatbot with Hugging Face Model")

    # If not saved, load the model and save it
    pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")


    user_input = st.text_area("Enter Text")
    # Define chat messages
    messages = [
        {"role": "system", "content": "You are a friendly chatbot who always responds in kind way."},
        {"role": "user", "content": user_input},
    ]
    submit = st.button('Generate')
    if submit:
        # Generate response
        prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
        outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
    
        # Display generated text
        st.text(outputs[0]["generated_text"])

if __name__ == "__main__":
    main()