app.py

import streamlit as st
from transformers import pipeline

# Initialize the pipeline
st.title("Hugging Face Text Generation")
st.subheader("Model: ai-forever/mGPT-1.3B-kazakh")

# Create the pipeline
@st.cache_resource
def load_pipeline():
    return pipeline("text-generation", model="ai-forever/mGPT-1.3B-kazakh")

pipe = load_pipeline()

# User input
prompt = st.text_area("Мәтін енгізіңіз:", value="", height=100)

# Text generation
if st.button("Generate Text"):
    if prompt.strip():
        with st.spinner("Generating text..."):
            result = pipe(prompt, max_length=100, num_return_sequences=1)
            st.subheader("Generated Text:")
            st.write(result[0]["generated_text"])
    else:
        st.error("Please enter a prompt to generate text.")