import streamlit as st
import layer

model = layer.get_model('layer/t5-fine-tuning-with-layer/models/t5-english-to-sql').get_train()
tokenizer = layer.get_model('layer/t5-fine-tuning-with-layer/models/t5-tokenizer').get_train()

def convert(query):
   inputs = tokenizer.encode(f"translate English to SQL: {query}", return_tensors="pt")
   outputs = model.generate(inputs, max_length=1024)
   sql = tokenizer.decode(outputs[0], skip_special_tokens=True)
   return sql

query = st.text_input("Enter Text here", value="")
output = convert(query)
st.text_area(label="Output Sql Query:", value=output, height=100)