| import streamlit as st
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| from transformers import AutoModelForCausalLM, AutoTokenizer,pipeline
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| import torch
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|
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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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|
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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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|
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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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|
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| st.write(generated_code[0]["generated_text"])
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| |
