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import openai
import gradio as gr
def translate_code(api_key, input_text, source_lang, target_lang):
prompt = f"Convert the following {source_lang} code to {target_lang} code:\n{input_text}"
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=100,
api_key=api_key
)
translated_code = response.choices[0].text.strip()
return translated_code
iface = gr.Interface(
fn=translate_code,
inputs=[
gr.inputs.Textbox(label="Enter Your OPENAI API KEY"),
gr.inputs.Textbox(label="Enter code to translate"),
gr.inputs.Textbox(label="Source Language (e.g., C++,python,java...)"),
gr.inputs.Textbox(label="Target Language (e.g., C++,python,java...)")
],
outputs=gr.outputs.Textbox(label="Translated Code"),
title="Code Translator",
description="Translate code snippets between programming languages. Right now we are working on the saperate model for it, till then kindly use the openai api key for the refrence."
)
iface.launch()
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