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import openai
import gradio as gr
import os
# OpenAi call
def gpt3(texts):
openai.api_key = os.environ["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"]
response = openai.Completion.create(
engine="text-davinci-003",
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:\n''')
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")
iface.launch()
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