app.py

import openai
import gradio as gr
import os

secret = os.environ["Secret"]
print(secret)
#OpenAi call
def regex(texts):
    openai.api_key = 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 regex response from model
def greet(prompt):
    txt= (f'''Perfect Regex Generator \n #Prompt: {prompt}\n#Regex:\n''')
    regex = gpt3(txt)
    return regex


#Code to set up Gradio UI
iface = gr.Interface(greet, inputs = ["text"], outputs = "text",title="Natural Language to Regex", description="Enter any prompt and get a regex statement back! For better results, give it more context")
iface.launch()