Update app.py

app.py

@@ -37,48 +37,6 @@ interface = gr.Interface(
     description="This model finds the closest match in the WikiSQL dataset for your query and generates the corresponding SQL."
 )
 
-# Launch the app
-if __name__ == "__main__":
-    interface.launch()
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-from datasets import load_dataset
-from difflib import get_close_matches
-
-# Load the WikiSQL dataset
-wikisql_dataset = load_dataset("wikisql", split='train[:100]')  # Increase the number of examples for better matching
-
-# Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL")
-model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-wikiSQL")
-
-def find_closest_match(query, dataset):
-    questions = [item['question'] for item in dataset]
-    matches = get_close_matches(query, questions, n=1)
-    return matches[0] if matches else None
-
-def generate_sql_from_user_input(query):
-    # Find the closest match in the dataset
-    matched_query = find_closest_match(query, wikisql_dataset)
-    if not matched_query:
-        return "No close match found in the dataset.", ""
-
-    # Generate SQL for the matched query
-    input_text = "translate English to SQL: " + matched_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)
-    return matched_query, 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="Matched Query from Dataset"), gr.Textbox(label="Generated SQL Query")],
-    title="NL to SQL with T5 using WikiSQL Dataset",
-    description="This model finds the closest match in the WikiSQL dataset for your query and generates the corresponding SQL."
-)
-
 # Launch the app
 if __name__ == "__main__":
     interface.launch()