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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("Text_Generator Fine tunning model") |
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model_dir = "fine_tuned_model (1)" |
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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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prompt = "def quicksort(arr):" |
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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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