Add application file

app.py

@@ -1,4 +1,15 @@
+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
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+huggingface_dataset_name = "red1xe/code_instructions"
+
+dataset = load_dataset(huggingface_dataset_name)
+
+st.spinner("Loading model...")
+st.write(dataset)