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import openai
import gradio as gr
import os
#OpenAi call
def gpt3(texts):
openai.api_key = os.environ["Secret"]
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() |