| from datasets import load_dataset | |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, GenerationConfig, TrainingArguments, Trainer | |
| import torch | |
| import time | |
| import evaluate | |
| import pandas as pd | |
| import numpy as np | |
| import streamlit as st | |
| st.title('Code Generation') | |
| huggingface_dataset_name = "red1xe/code_instructions" | |
| dataset = load_dataset(huggingface_dataset_name) | |
| st.write("## Dataset") | |
| st.write(dataset) | |