app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(
    "text-generation",
    model="Sarveshyadav19/text2sql-qwen-v3"
)

def generate_sql(question):

    prompt = f"""
### Question:
{question}

### SQL:
"""

    result = pipe(
        prompt,
        max_new_tokens=100,
        do_sample=False
    )

    return result[0]["generated_text"]

demo = gr.Interface(
    fn=generate_sql,
    inputs="text",
    outputs="text",
    title="Text to SQL Generator"
)

demo.launch()