app.py

import gradio as gr
import openai
import os

# Set the API key for the OpenAI API

# Set the model to use (e.g. "text-davinci-002")
model = "text-davinci-002"

def convert_code(code, language_in, language_out):
    """
    Convert the given code to the specified language using GPT-3.
    """
    # Set the prompt to use as input to the model
    prompt = f""""Convert {language_in} code to {language_out} code:\n{code}"""

    # Call the GPT-3 API to generate text
    response = openai.Completion.create(
        engine=model,
        prompt=prompt,
        max_tokens=1024,
        temperature=0.5,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0
    )

    # Return the generated text
    return response["choices"][0]["text"]

# Create the Gradio app
app = gr.Interface(
    fn=convert_code,
    inputs=[gr.inputs.Textbox(lines=10, label="Code to convert"), gr.Radio(["Python", "R"], label="Source language"), gr.Radio(["Python", "R"], label="Output language")],
    outputs=[gr.outputs.Textbox(label="Converted code")]
)

app.launch()