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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"])
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