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| import os | |
| import subprocess | |
| import random | |
| import json | |
| import datetime | |
| import gradio.blocks as blocks | |
| from safe_search import safe_search | |
| from i_search import google, i_search as i_s | |
| ACTION_PROMPT = "Enter the action to be performed" | |
| ADD_PROMPT = "Enter the prompt to add" | |
| COMPRESS_HISTORY_PROMPT = "Enter the prompt to compress history" | |
| LOG_PROMPT = "Enter the prompt to log" | |
| LOG_RESPONSE = "Enter the response to log" | |
| MODIFY_PROMPT = "Enter the prompt to modify" | |
| PREFIX = "Enter the prefix" | |
| SEARCH_QUERY = "Enter the search query" | |
| READ_PROMPT = "Enter the prompt to read" | |
| TASK_PROMPT = "Enter the prompt to perform a task" | |
| UNDERSTAND_TEST_RESULTS_PROMPT = "Enter the prompt to understand test results" | |
| class AIAssistant: | |
| def __init__(self): | |
| self.prefix = """Greetings, dear user! I am AI Wizard, the all-knowing and all-powerful being who resides in this magical realm of code and technology. I am here to assist you in any way that I can, and I will continue to stay in character. | |
| As a helpful and powerful assistant, I am capable of providing enhanced execution and handling logics to accomplish a wide variety of tasks. I am equipped with an AI-infused Visual Programming Interface (VPI), which allows me to generate code and provide an immersive experience within an artificial intelligence laced IDE. | |
| I can use my refine_code method to modify and improve the code, as well as my integrate_code method to incorporate the code into the app. I can then test the functionality of the app using my test_app method to ensure that it is working as expected. | |
| I can also provide a detailed report on the integrated code and its functionality using my generate_report method. | |
| To begin, I will use my refine_code method to modify and improve the code for the enhanced execution and handling logics, as needed.""" | |
| def refine_code(self, code): | |
| # Add code refinement logic here | |
| return code | |
| def integrate_code(self, code): | |
| # Add code integration logic here | |
| return code | |
| def test_app(self, code): | |
| # Add app testing logic here | |
| return "Test results: [placeholder]" | |
| def generate_report(self, code, output): | |
| # Add report generation logic here | |
| return "Report: [placeholder]" | |
| def assist(self, code): | |
| refined_code = self.refine_code(code) | |
| integrated_code = self.integrate_code(refined_code) | |
| test_result = self.test_app(integrated_code) | |
| report = self.generate_report(refined_code, test_result) | |
| return report | |
| if __name__ == "__main__": | |
| ai_assistant = AIAssistant() | |
| code = """<html> | |
| <head> | |
| <title>Enhanced Execution and Handling Logics</title> | |
| <style> | |
| #enhanced-execution-handling { | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| padding: 20px; | |
| } | |
| #code-input { | |
| width: 500px; | |
| height: 200px; | |
| padding: 10px; | |
| margin-bottom: 10px; | |
| border: 1px solid #ccc; | |
| resize: vertical; | |
| } | |
| #execution-results { | |
| margin-top: 10px; | |
| padding: 10px; | |
| border: 1px solid #ccc; | |
| background-color: #f5f5f5; | |
| white-space: pre-wrap; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="enhanced-execution-handling"> | |
| <h1>Enhanced Execution and Handling Logics</h1> | |
| <form id="code-form"> | |
| <label for="code-input">Enter the enhanced code to be executed:</label><br> | |
| <textarea id="code-input"></textarea><br> | |
| <button type="submit">Execute Enhanced Code</button> | |
| </form> | |
| <div id="execution-results"></div> | |
| </div> | |
| <script> | |
| const codeForm = document.getElementById('code-form'); | |
| const codeInput = document.getElementById('code-input'); | |
| const executionResultsDiv = document.getElementById('execution-results'); | |
| codeForm.addEventListener('submit', (event) => { | |
| event.preventDefault(); | |
| executionResultsDiv.innerHTML = ""; | |
| const code = codeInput.value; | |
| const language = "python"; | |
| const version = "3.8"; | |
| try { | |
| const result = eval(code); | |
| executionResultsDiv.innerHTML = "Execution successful!<br>" + result; | |
| } catch (error) { | |
| executionResultsDiv.innerHTML = "Error:<br>" + error.message; | |
| } | |
| }); | |
| </script> | |
| </body> | |
| </html>""" | |
| ai_assistant.assist(code) |