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| import streamlit as st | |
| from transformers import pipeline | |
| print ("Loading model....") | |
| #Title and Description | |
| st.title("programming language identification") | |
| st.write(""" | |
| ### Powered bu Hugging Face and Streamlit | |
| This app uses a pre-trained model from Hugging Face to identificate programming language. | |
| Enter a programming language to determine what language it is! | |
| """) | |
| #Initialize Hugging Face Language identification pipeline | |
| def load_model(): | |
| print("before load model") | |
| return pipeline("programming-language-identification", model="CodeBERTa-language-id") | |
| language_identificator = load_model() |