app.py

import streamlit as st
from transformers import AutoModelForCausalLM, AutoTokenizer,pipeline
import torch

st.title("quantization_Generator Fine tunning model")

# Load model and tokenizer
model_dir = "quantization_model"
tokenizer = AutoTokenizer.from_pretrained(model_dir)
model = AutoModelForCausalLM.from_pretrained(model_dir)


code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)




inputs_text=st.text_input("Please enter the text",value="def quicksort(arr):")

if st.button("submit"):
    generated_code = code_generator(inputs_text, max_length=200, num_return_sequences=1)
    
    st.write(generated_code[0]["generated_text"])