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import os | |
from openai import OpenAI | |
import gradio as gr | |
client = OpenAI(api_key=os.environ["Secret"]) | |
def gpt3(texts): | |
response = client.chat.completions.create( | |
model="gpt-4", | |
messages=[{"role": "user", "content": texts}], | |
temperature=0, | |
max_tokens=750, | |
top_p=1, | |
frequency_penalty=0.0, | |
presence_penalty=0.0, | |
stop=[";", "*/", "</code>"] | |
) | |
return response.choices[0].message.content | |
def greet(prompt): | |
txt = f'''/*Prompt: {prompt}*/ \nSQL code:''' | |
sql = gpt3(txt) | |
return sql | |
e = gr.Interface( | |
fn=greet, | |
inputs=["text"], | |
outputs="text", | |
title="Natural Language to SQL Converter", | |
description="Convert your natural language queries into SQL code." | |
) | |
e.launch() |