Add application file

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from typing import List
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("juierror/text-to-sql-with-table-schema")
+model = AutoModelForSeq2SeqLM.from_pretrained("juierror/text-to-sql-with-table-schema")
+
+t = st.text_input('enter tables')
+q = st.text_input('enter question')
+
+def prepare_input(question: str, table: str):
+    table_prefix = "table:"
+    question_prefix = "question:"
+    inputs = f"{question_prefix} {question} {table_prefix} {table}"
+    input_ids = tokenizer(inputs, max_length=700, return_tensors="pt").input_ids
+    return input_ids
+
+def inference(question: str, table: str) -> str:
+    input_data = prepare_input(question=question, table=table)
+    input_data = input_data.to(model.device)
+    outputs = model.generate(inputs=input_data, num_beams=10, top_k=10, max_length=700)
+    result = tokenizer.decode(token_ids=outputs[0], skip_special_tokens=True)
+    return result
+
+st.write(inference(q,t))