app.py

import openai
import gradio as gr
import os



#OpenAi call
def gpt3(texts):
    openai.api_key = os.environ["Secret"]
    response = openai.Completion.create(
      engine="code-davinci-002",
      prompt= texts,
          temperature=0,
          max_tokens=750,
          top_p=1,
          frequency_penalty=0.0,
          presence_penalty=0.0,
          stop = (";", "/*", "</code>")
    )
    x = response.choices[0].text 
    
    return x




# Function to elicit sql response from model
def greet( prompt):
    txt= (f'''/*Prompt: {prompt}*/ \n —-SQL Code:''')
    sql = gpt3(txt)
    return sql


#Code to set up Gradio UI
iface = gr.Interface(greet, inputs = ["text"], outputs = "text",title="Natural Language to SQL", description="Enter any prompt and get a SQL statement back! For better results, give it more context. Made by Curran Janssens", examples =[["Using the year variable, get all leap years from 2020-2040"],["Make the Puppies"]])
iface.launch()