Update app.py

app.py

@@ -1,41 +1,24 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 from datasets import load_dataset
 
-# Load the WikiSQL dataset (only the table schemas are needed for validation)
-wikisql_dataset = load_dataset("wikisql", split='train')
+# Load the WikiSQL dataset
+wikisql_dataset = load_dataset("wikisql", split='train[:100]')  # Load a subset of the dataset
 
-# Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL")
-model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL")
-
-def validate_sql_against_schema(sql_query, schema):
-    # This is a placeholder function. You need to implement the logic to validate
-    # the SQL query against the table schema. The validation can be as simple or as
-    # complex as you need, depending on the requirements.
-    return True  # Assume the query is valid for now
+# Create a mapping between natural language queries and SQL queries
+query_sql_mapping = {item['question']: item['sql']['human_readable'] for item in wikisql_dataset}
 
 def generate_sql_from_user_input(query):
-    # Generate SQL for the user's 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)
-
-    # Validate the generated SQL query against the schemas in the dataset
-    for item in wikisql_dataset:
-        if validate_sql_against_schema(sql_query, item['sql']):
-            return query, sql_query
-
-    return query, "Generated SQL query is not consistent with the dataset."
+    # Look up the SQL query corresponding to the user's input
+    sql_query = query_sql_mapping.get(query, "No exact match found in the dataset.")
+    return sql_query
 
 # Create a Gradio interface
 interface = gr.Interface(
     fn=generate_sql_from_user_input,
     inputs=gr.Textbox(label="Enter your natural language query"),
-    outputs=[gr.Textbox(label="Your Query"), gr.Textbox(label="Generated SQL Query")],
-    title="NL to SQL with T5 using WikiSQL Dataset",
-    description="This model generates an SQL query for your natural language input and validates it against the WikiSQL dataset."
+    outputs=gr.Textbox(label="SQL Query from Dataset"),
+    title="NL to SQL using WikiSQL Dataset",
+    description="This interface returns the SQL query from the WikiSQL dataset that exactly matches your natural language input."
 )
 
 # Launch the app