Update README.md

README.md

@@ -6,26 +6,5 @@ widget:
 - text: "question: get employee name with age equal 25 table: id, name, age"
 ---
 ```python
-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")
-
-def prepare_input(question: str, table: List[str]):
-    table_prefix = "table:"
-    question_prefix = "question:"
-    join_table = ",".join(table)
-    inputs = f"{question_prefix} {question} {table_prefix} {join_table}"
-    input_ids = tokenizer(inputs, max_length=700, return_tensors="pt").input_ids
-    return input_ids
-
-def inference(question: str, table: List[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
-
-print(inference(question="get people name with age equal 25", table=["id", "name", "age"]))
+This model generate sql query from a table with schema details provided in parameter
 ```