Update app.py

app.py

@@ -1,29 +1,35 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+from datasets import load_dataset
 
 # Load tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained("hrshtsharma2012/NL2SQL-Picard-final")
 model = AutoModelForSeq2SeqLM.from_pretrained("hrshtsharma2012/NL2SQL-Picard-final")
 
+# Initialize the pipeline
+nl2sql_pipeline = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
+
+# Load a part of the Spider dataset
+spider_dataset = load_dataset("spider", split='train[:5]')
+
 def generate_sql(query):
-    input_text = "translate English to SQL: " + query
-    inputs = tokenizer(input_text, return_tensors="pt", padding=True)
-    outputs = model.generate(**inputs, max_length=512)
-    sql_query = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    
-    # Check if the output is the same as the input
-    if sql_query.strip().lower() == query.strip().lower():
-        return "The model did not generate a SQL query. Please try a different input or use a different model."
-    
+    results = nl2sql_pipeline(query)
+    sql_query = results[0]['generated_text']
+    # Post-process the output to ensure it's a valid SQL query
+    sql_query = sql_query.replace('<pad>', '').replace('</s>', '').strip()
     return sql_query
 
+# Use examples from the Spider dataset
+example_questions = [(question['question'],) for question in spider_dataset]
+
 # Create a Gradio interface
 interface = gr.Interface(
     fn=generate_sql,
     inputs=gr.Textbox(lines=2, placeholder="Enter your natural language query here..."),
     outputs="text",
+    examples=example_questions,
     title="NL to SQL with Picard",
-    description="This model converts natural language queries into SQL. Enter your query!"
+    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