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import streamlit as st
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from transformers import AutoModelForCausalLM, AutoTokenizer,pipeline
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import torch
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st.title("quantization_Generator Fine tunning model")
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model_dir = "quantization_model"
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tokenizer = AutoTokenizer.from_pretrained(model_dir)
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model = AutoModelForCausalLM.from_pretrained(model_dir)
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code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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inputs_text=st.text_input("Please enter the text",value="def quicksort(arr):")
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if st.button("submit"):
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generated_code = code_generator(inputs_text, max_length=200, num_return_sequences=1)
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st.write(generated_code[0]["generated_text"])
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