Spaces:
Running
Running
improve to production rdy app - Follow Up Deployment
Browse files- index.html +229 -13
index.html
CHANGED
@@ -61,6 +61,33 @@
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}
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</script>
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</head>
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<body class="bg-gray-900 overflow-hidden font-terminal min-h-screen">
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<div class="flex items-center">
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<div class="text-green-500 mr-3 font-bold">user@terminal:~$</div>
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<div class="flex-grow flex items-center border border-green-700 bg-black/30">
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</div>
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<input type="text" class="flex-grow bg-transparent outline-none px-2 py-1 text-green-300" placeholder="Enter cognitive query...">
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</div>
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<button class="ml-3 px-4 py-1 bg-green-700 hover:bg-green-600 text-cyan-100 font-bold rounded-sm">Execute</button>
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</div>
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<div class="mt-3 flex justify-between text-xs text-cyan-400">
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<div>
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<i class="fas fa-brain mr-1"></i>
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</div>
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<div>
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<i class="fas fa-bolt mr-1"></i>
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</div>
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<div>
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<i class="fas fa-database mr-1"></i>
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</div>
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<div class="text-yellow-400 font-bold">
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<i class="fas fa-star"></i>
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</div>
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</div>
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</div>
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</div>
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<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=5dimension/terminal" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
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</html>
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}
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}
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}
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+
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// Configuration
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const CONFIG = {
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HF_API_URL: "https://api-inference.huggingface.co/models/",
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DEFAULT_MODEL: "mistralai/Mixtral-8x7B-Instruct-v0.1",
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MAX_TOKENS: 4096,
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RATE_LIMIT: 3000, // ms between requests
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HISTORY_SIZE: 20
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};
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const PROMPT_TEMPLATES = {
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"standard": `[INST] You are NeuroCognitive Terminal v9.24.6. Provide detailed technical analysis with references.
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Break response into clear sections with markdown formatting. Current date: ${new Date().toISOString()}
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User Query: {query}[/INST]`,
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"creative": `[INST] Generate innovative ideas combining multiple disciplines. Use lateral thinking and unconventional approaches.
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Query: {query} Consider these unexpected angles:[/INST]`,
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"technical": `[INST] Respond with precise technical specifications, equations, and implementation details.
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Query: {query} Include: 1) Technical requirements 2) Implementation steps 3) Sample code[/INST]`
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};
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// State management
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const AppState = {
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history: JSON.parse(localStorage.getItem('terminalHistory')) || [],
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lastRequestTime: 0,
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currentModel: CONFIG.DEFAULT_MODEL,
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apiKey: localStorage.getItem('hfApiKey') || ''
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};
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</script>
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</head>
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<body class="bg-gray-900 overflow-hidden font-terminal min-h-screen">
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<div class="flex items-center">
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<div class="text-green-500 mr-3 font-bold">user@terminal:~$</div>
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<div class="flex-grow flex items-center border border-green-700 bg-black/30">
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<select class="bg-black text-green-400 px-2 h-full border-r border-green-800">
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<option value="standard">Standard</option>
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<option value="creative">Creative</option>
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<option value="technical">Technical</option>
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</select>
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<input id="promptInput" type="text" class="flex-grow bg-transparent outline-none px-2 py-1 text-green-300" placeholder="Enter cognitive query...">
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<div class="h-full bg-green-500/30 px-3 font-mono flex items-center">
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<div class="inline-block w-4 h-6 bg-green-400 prompt"></div>
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</div>
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</div>
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<button onclick="TerminalApp.executePrompt()" class="ml-3 px-4 py-1 bg-green-700 hover:bg-green-600 text-cyan-100 font-bold rounded-sm">Execute</button>
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</div>
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<div class="mt-3 flex justify-between text-xs text-cyan-400">
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<div class="flex items-center">
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<i class="fas fa-brain mr-1"></i>
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<span>LLM: <span id="llmStatus" class="text-green-400">${CONFIG.DEFAULT_MODEL.split('/').pop()}</span></span>
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</div>
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<div class="flex items-center">
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<i class="fas fa-bolt mr-1"></i>
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<span>Tokens: <span id="tokenCounter">0</span>/2048</span>
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</div>
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<div class="flex items-center">
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<i class="fas fa-database mr-1"></i>
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<span>Context: <span id="contextStatus">Ready</span></span>
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</div>
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<div class="text-yellow-400 font-bold flex items-center">
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<i class="fas fa-star mr-1"></i>
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<span>Score: <span id="aiScore">+30</span></span>
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</div>
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</div>
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</div>
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</div>
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<script>
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// API Client
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class HuggingFaceClient {
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static async query(payload, model = CONFIG.DEFAULT_MODEL) {
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const now = Date.now();
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if (now - AppState.lastRequestTime < CONFIG.RATE_LIMIT) {
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throw new Error(`Rate limited. Please wait ${Math.ceil((CONFIG.RATE_LIMIT - (now - AppState.lastRequestTime))/1000)}s`);
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}
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if (!AppState.apiKey) {
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throw new Error('API key not configured. Set your HuggingFace token in settings.');
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}
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AppState.lastRequestTime = now;
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const response = await fetch(`${CONFIG.HF_API_URL}${model}`, {
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headers: {
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"Authorization": `Bearer ${AppState.apiKey}`,
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"Content-Type": "application/json"
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},
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method: "POST",
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body: JSON.stringify(payload),
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});
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if (!response.ok) {
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const error = await response.json();
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throw new Error(error.error || 'API request failed');
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}
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return response.json();
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}
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}
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// UI Components
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class TerminalUI {
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static addHistoryEntry(prompt, response) {
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const entry = {
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timestamp: new Date().toISOString(),
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prompt,
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response,
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model: AppState.currentModel
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};
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AppState.history.unshift(entry);
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if (AppState.history.length > CONFIG.HISTORY_SIZE) {
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AppState.history.pop();
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}
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localStorage.setItem('terminalHistory', JSON.stringify(AppState.history));
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}
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static async streamResponse(responseText, prompt) {
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const terminalOutput = document.querySelector('.terminal-scrollbar');
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const responseDiv = document.createElement('div');
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responseDiv.className = 'mb-4';
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terminalOutput.appendChild(responseDiv);
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// Add prompt to history immediately
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const promptDiv = document.createElement('div');
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promptDiv.className = 'mb-2';
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promptDiv.innerHTML = `
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<div class="flex items-start">
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<div class="text-cyan-400 mr-2">user@terminal:~$</div>
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<div class="font-mono">${prompt}</div>
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</div>
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`;
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terminalOutput.insertBefore(promptDiv, responseDiv);
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// Prepare response area
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responseDiv.innerHTML = `
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<div class="flex items-start">
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<div class="text-purple-400 mr-2">neuro-ai@core:~$</div>
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<div class="font-mono">RESPONSE_STREAM</div>
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</div>
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<div class="ml-6 mt-2 text-green-300 whitespace-pre-wrap"></div>
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`;
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const contentDiv = responseDiv.querySelector('.whitespace-pre-wrap');
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let currentText = '';
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for (const char of responseText) {
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currentText += char;
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contentDiv.textContent = currentText;
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terminalOutput.scrollTop = terminalOutput.scrollHeight;
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await new Promise(r => setTimeout(r, 5));
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}
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this.addHistoryEntry(prompt, responseText);
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return currentText;
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}
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static showError(message) {
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const terminalOutput = document.querySelector('.terminal-scrollbar');
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const errorDiv = document.createElement('div');
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errorDiv.className = 'mb-4 text-red-400';
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errorDiv.innerHTML = `
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<div class="flex items-start">
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<div class="text-red-500 mr-2">system@error:~$</div>
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<div class="font-mono">${message}</div>
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</div>
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`;
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terminalOutput.appendChild(errorDiv);
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terminalOutput.scrollTop = terminalOutput.scrollHeight;
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}
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static toggleLoading(state) {
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const statusEl = document.getElementById('contextStatus');
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const llmStatus = document.getElementById('llmStatus');
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if (state) {
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statusEl.textContent = 'Processing';
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statusEl.classList.add('text-yellow-400');
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llmStatus.classList.add('animate-pulse');
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} else {
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statusEl.textContent = 'Ready';
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statusEl.classList.remove('text-yellow-400');
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llmStatus.classList.remove('animate-pulse');
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}
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}
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}
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// Main Application
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class TerminalApp {
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static async executePrompt() {
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const input = document.getElementById('promptInput');
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const prompt = input.value.trim();
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if (!prompt) return;
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const mode = document.querySelector('select').value;
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const fullPrompt = PROMPT_TEMPLATES[mode].replace('{query}', prompt);
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TerminalUI.toggleLoading(true);
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try {
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const response = await HuggingFaceClient.query({
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inputs: fullPrompt,
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parameters: {
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max_new_tokens: 1024,
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temperature: mode === 'technical' ? 0.3 : 0.7,
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return_full_text: false
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}
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});
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const result = Array.isArray(response) ? response[0].generated_text : response.generated_text;
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const processedText = await TerminalUI.streamResponse(result, prompt);
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document.getElementById('tokenCounter').textContent = processedText.length;
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input.value = '';
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} catch (error) {
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TerminalUI.showError(error.message);
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console.error('API Error:', error);
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} finally {
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TerminalUI.toggleLoading(false);
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}
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}
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static init() {
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// Load settings
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const settingsButton = document.createElement('div');
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settingsButton.innerHTML = `
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<div class="fixed bottom-20 right-4 bg-black/80 border border-cyan-700 p-2 rounded cursor-pointer hover:bg-cyan-900/50"
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onclick="TerminalApp.showSettings()">
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<i class="fas fa-cog"></i>
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</div>
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`;
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document.body.appendChild(settingsButton);
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// Display initial history if any
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if (AppState.history.length > 0) {
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const lastEntry = AppState.history[0];
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TerminalUI.streamResponse(lastEntry.response, lastEntry.prompt);
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}
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}
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static showSettings() {
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// Implementation for settings modal
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alert('Settings modal would appear here to configure API key and model');
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}
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}
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// Initialize app
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document.addEventListener('DOMContentLoaded', () => {
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TerminalApp.init();
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});
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</script>
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<p style="border-radius: 8px; text-align: center; font-size: 12px; color: #fff; margin-top: 16px;position: fixed; left: 8px; bottom: 8px; z-index: 10; background: rgba(0, 0, 0, 0.8); padding: 4px 8px;">Made with <img src="https://enzostvs-deepsite.hf.space/logo.svg" alt="DeepSite Logo" style="width: 16px; height: 16px; vertical-align: middle;display:inline-block;margin-right:3px;filter:brightness(0) invert(1);"><a href="https://enzostvs-deepsite.hf.space" style="color: #fff;text-decoration: underline;" target="_blank" >DeepSite</a> - 🧬 <a href="https://enzostvs-deepsite.hf.space?remix=5dimension/terminal" style="color: #fff;text-decoration: underline;" target="_blank" >Remix</a></p></body>
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</html>
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