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| import gradio as gr | |
| import openai | |
| # Set up the OpenAI API credentials | |
| openai.api_key = "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" | |
| # Define a function that takes a user's input code as a prompt and uses the OpenAI API to generate a corrected version of the code | |
| def correct_code(prompt): | |
| # Use the OpenAI API to generate suggestions for fixing syntax errors in the code | |
| response = openai.Completion.create( | |
| engine="davinci-codex", | |
| prompt=prompt, | |
| max_tokens=1024, | |
| n=1, | |
| stop=None, | |
| temperature=0.5, | |
| ) | |
| # Extract the corrected code from the API response | |
| corrected_code = response.choices[0].text.strip() | |
| return corrected_code | |
| # Define a Gradio interface for the code editor | |
| input_code = gr.inputs.Textbox(lines=20, label="Write your code here") | |
| output_code = gr.outputs.Textbox(label="Corrected Code") | |
| def generate_code(input_code): | |
| corrected_code = correct_code(input_code) | |
| return corrected_code | |
| # Define the Gradio interface for the code editor | |
| interface = gr.Interface(fn=generate_code, inputs=input_code, outputs=output_code, title="AI Code Editor", description="Write your code in the editor and click submit to generate a corrected version.") | |
| # Run the Gradio interface for the code editor | |
| interface.launch() |