app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM

st.title("Text Generation with Bloom")

tokenizer = AutoTokenizer.from_pretrained("bigscience/bloom")
model = AutoModelForCausalLM.from_pretrained("bigscience/bloom")

user_input = st.text_area("Enter your prompt:", height=100)

if st.button('Generate Text'):
    inputs = tokenizer(user_input, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=100)  # Adjust max_length as needed
    generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True) 
    st.write("Generated Text:")
    st.write(generated_text)