); ); );
return "I don't have a bridge for that word yet." If you want to run this in a browser console (e.g., for a specific website like a live chat or quiz), use this JavaScript snippet. This observes the DOM for incoming chat bubbles. auto answer word bridge script
// Auto Answer Word Bridge Script (JavaScript/Console Version) const wordBridge = "hello": "Hi! How are you?", "price": "The price is $19.99", "help": "How may I assist you today?" ; const observer = new MutationObserver((mutations) => mutations.forEach((mutation) => mutation.addedNodes.forEach((node) => if (node.nodeType === 1 && node.matches('.chat-message')) // Adjust selector const question = node.innerText.toLowerCase(); for (let [key, answer] of Object.entries(wordBridge)) if (question.includes(key)) document.querySelector('#reply-box').value = answer; document.querySelector('#send-button').click(); break; ); ); ); return "I don't have a bridge for that word yet
import keyboard auto_answer_enabled = True How are you
import openai def ai_bridge(prompt): response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=["role": "user", "content": f"Answer this briefly: prompt"] ) return response.choices[0].message.content
# Greeting Bridge if re.search(r'\b(hi|hello|hey)\b', text): return "Hello! I am your auto-bridge assistant."
We need a script that runs in the background, capturing every keystroke. When the user presses "Enter," the script parses the sentence.