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| import gradio as gr | |
| import requests | |
| # ==== CONFIGURATION ==== | |
| SUPPORTED_LANGUAGES = [ | |
| ("python3", "Python 3"), | |
| ("javascript", "JavaScript"), | |
| ("cpp", "C++"), | |
| ("java", "Java"), | |
| ("go", "Go"), | |
| ("rust", "Rust"), | |
| ] | |
| # -- Replace with your Nebius API details -- | |
| NEBIUS_API_URL = "https://api.studio.nebius.com/v1/" # Change to your actual endpoint | |
| NEBIUS_API_TOKEN = "eyJhbGciOiJIUzI1NiIsImtpZCI6IlV6SXJWd1h0dnprLVRvdzlLZWstc0M1akptWXBvX1VaVkxUZlpnMDRlOFUiLCJ0eXAiOiJKV1QifQ.eyJzdWIiOiJnb29nbGUtb2F1dGgyfDEwOTczNTk0MjQyODU0MDg2Njk4NyIsInNjb3BlIjoib3BlbmlkIG9mZmxpbmVfYWNjZXNzIiwiaXNzIjoiYXBpX2tleV9pc3N1ZXIiLCJhdWQiOlsiaHR0cHM6Ly9uZWJpdXMtaW5mZXJlbmNlLmV1LmF1dGgwLmNvbS9hcGkvdjIvIl0sImV4cCI6MTkwNjc4NDM3NSwidXVpZCI6ImJhYmM2ODY0LTExNDQtNDNlYi1hMDg4LTI0YWNkMmEzNzI4ZiIsIm5hbWUiOiJhcyIsImV4cGlyZXNfYXQiOiIyMDMwLTA2LTA0VDA2OjE5OjM1KzAwMDAifQ.bcb06nZ8f9QuLsRShj3iUBcaguCdU5huiFFZVJwi_bE" # Put your actual token here | |
| # ==== NEBIUS AI REVIEW AGENT ==== | |
| def ai_review(code, language): | |
| """ | |
| Uses Nebius AI's API to review code. | |
| Edit endpoint and token to match your deployment. | |
| """ | |
| prompt = f"Review this {language} code for logic errors, style, and suggest improvements:\n\n{code}\n\n" | |
| headers = { | |
| "Authorization": f"Bearer {NEBIUS_API_TOKEN}", | |
| "Content-Type": "application/json" | |
| } | |
| data = { | |
| "prompt": prompt, | |
| "max_tokens": 500 | |
| } | |
| try: | |
| response = requests.post(NEBIUS_API_URL, headers=headers, json=data, timeout=30) | |
| if response.ok: | |
| result = response.json() | |
| # Adjust parsing based on Nebius AI's actual response format. | |
| if 'generated_text' in result: | |
| return result['generated_text'] | |
| if 'choices' in result and result['choices']: | |
| return result['choices'][0].get('text', 'No output.') | |
| return str(result) | |
| return f"Error: {response.text}" | |
| except Exception as e: | |
| return f"Nebius AI review failed: {e}" | |
| # ==== SECURE CODE EXECUTION AGENT (Piston API) ==== | |
| def run_code(code, language): | |
| """Runs code securely using Piston API.""" | |
| url = "https://emkc.org/api/v2/piston/execute" | |
| payload = {"language": language, "source": code} | |
| try: | |
| response = requests.post(url, json=payload, timeout=10) | |
| if response.ok: | |
| result = response.json() | |
| return result.get("output", "No output.") | |
| return f"Error: {response.text}" | |
| except Exception as e: | |
| return f"Error during code execution: {e}" | |
| # ==== CONTROLLER LOGIC ==== | |
| def review_and_run(code, language_name): | |
| code_lang = {name: code for code, name in SUPPORTED_LANGUAGES} | |
| language_code = code_lang.get(language_name, "python3") | |
| review = ai_review(code, language_name) | |
| run_result = run_code(code, language_code) | |
| return review, run_result | |
| def _ai_review(code, language_name): | |
| return ai_review(code, language_name) | |
| def _run_code(code, language_name): | |
| code_lang = {name: code for code, name in SUPPORTED_LANGUAGES} | |
| language_code = code_lang.get(language_name, "python3") | |
| return run_code(code, language_code) | |
| # ==== BUILD GRADIO UI ==== | |
| with gr.Blocks(title="AI-Powered Code Review & Runner (Nebius AI)") as demo: | |
| gr.Markdown("# 🤖 AI Code Review & Execution Assistant (Nebius AI 🟦)") | |
| gr.Markdown( | |
| "Paste your code, select a language, and get **AI-powered review & code execution**.<br>" + | |
| "**AI review is powered by Nebius LLM. Code execution is sandboxed (Piston API).**" | |
| ) | |
| with gr.Row(): | |
| code_input = gr.Code(label="Your Code", language="python", lines=15) | |
| language_input = gr.Dropdown( | |
| [name for code, name in SUPPORTED_LANGUAGES], | |
| value="Python 3", | |
| label="Language", | |
| ) | |
| with gr.Row(): | |
| review_btn = gr.Button("AI Review Only") | |
| run_btn = gr.Button("Run Code Only") | |
| both_btn = gr.Button("AI Review & Run") | |
| ai_review_output = gr.Textbox(label="AI Review Output (Nebius)", lines=6) | |
| run_output = gr.Textbox(label="Run Output", lines=6) | |
| review_btn.click(_ai_review, [code_input, language_input], ai_review_output) | |
| run_btn.click(_run_code, [code_input, language_input], run_output) | |
| both_btn.click(review_and_run, [code_input, language_input], [ai_review_output, run_output]) | |
| demo.launch() | |