Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 from datasets import load_dataset
 
 # Load tokenizer and model
@@ -10,8 +10,8 @@ model = AutoModelForSeq2SeqLM.from_pretrained("hrshtsharma2012/NL2SQL-Picard-fin
 spider_dataset = load_dataset("spider", split='train[:5]')
 
 def generate_sql(query):
-    input_ids = tokenizer(query, return_tensors="pt").input_ids
-    outputs = model.generate(input_ids)
+    inputs = tokenizer(query, return_tensors="pt", padding=True)
+    outputs = model.generate(**inputs, max_length=512)
     sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return sql_query
 
@@ -25,7 +25,7 @@ interface = gr.Interface(
     outputs="text",
     examples=example_questions,
     title="NL to SQL with Picard",
-    description="This model converts natural language queries into SQL using the Spider dataset. Try  example questions or enter your own!"
+    description="This model converts natural language queries into SQL using the Spider dataset. Try one of the example questions or enter your own!"
 )
 
 # Launch the app