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Update app.py
Browse files
app.py
CHANGED
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@@ -1,652 +1,329 @@
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</button>
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</div>
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</div>
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</div>
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<!-- Main Chat Area -->
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<div id="mainArea" class="flex-1 flex flex-col transition-all duration-300">
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<!-- Chat Messages -->
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<div id="messagesContainer" class="flex-1 overflow-y-auto chat-scroll">
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<!-- Welcome Screen -->
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<div id="welcomeScreen" class="h-full flex items-center justify-center">
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<div class="text-center max-w-md mx-auto px-4">
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<div class="w-16 h-16 bg-gray-700 rounded-full flex items-center justify-center mx-auto mb-6">
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<svg class="w-8 h-8 text-blue-400" fill="currentColor" viewBox="0 0 24 24">
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<path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm-2 15l-5-5 1.41-1.41L10 14.17l7.59-7.59L19 8l-9 9z"/>
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</svg>
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</div>
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<h2 class="text-2xl font-semibold mb-4 text-gray-100">Which model would you like to talk with today?</h2>
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<p class="text-gray-400 leading-relaxed">Choose from 10 powerful AI models and start chatting. Each model has unique strengths for different tasks.</p>
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</div>
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</div>
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<!-- Messages Area -->
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<div id="messagesArea" class="p-6 space-y-6 max-w-4xl mx-auto" style="display: none;">
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</div>
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</div>
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<!-- Message Input -->
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<div class="border-t border-gray-700 p-4">
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<div class="max-w-4xl mx-auto">
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<div class="flex gap-3">
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<input
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type="text"
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id="messageInput"
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placeholder="Chat Smarter. Chat many Brains"
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class="flex-1 px-4 py-3 bg-gray-800 border border-gray-600 rounded-lg text-white placeholder-gray-400 focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent"
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/>
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<button
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id="sendBtn"
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class="px-6 py-3 bg-blue-600 hover:bg-blue-700 disabled:bg-gray-600 disabled:cursor-not-allowed rounded-lg transition-colors flex items-center gap-2"
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>
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<svg class="w-4 h-4" fill="currentColor" viewBox="0 0 24 24">
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<path d="M2.01 21L23 12 2.01 3 2 10l15 2-15 2z"/>
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</svg>
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Send
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</button>
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</div>
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<div class="mt-2 text-center">
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<span class="text-xs text-gray-500">Currently using: <strong id="currentModelName">GPT-3.5 Turbo</strong></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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</div>
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<script>
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// 🔑 OpenRouter API Key
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const API_KEY = "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";
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const models = {
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'openai/gpt-3.5-turbo': 'GPT-3.5 Turbo',
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'meta-llama/llama-3.1-8b-instruct': 'LLaMA 3.1 8B',
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'meta-llama/llama-3.1-70b-instruct': 'LLaMA 3.1 70B',
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'deepseek/deepseek-chat-v3-0324:free': 'DeepSeek Chat v3',
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'deepseek/deepseek-r1-0528:free': 'DeepSeek R1',
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'qwen/qwen3-coder:free': 'Qwen3 Coder',
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'microsoft/mai-ds-r1:free': 'Microsoft MAI DS R1',
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'google/gemma-3-27b-it:free': 'Gemma 3 27B',
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'google/gemma-3-4b-it:free': 'Gemma 3 4B',
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'openrouter/auto': 'Auto (Best Available)'
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};
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// Initialize app
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document.addEventListener('DOMContentLoaded', async function() {
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console.log('App starting...');
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setupEventListeners();
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await getUserLocation();
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updateUserDisplay();
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updateChatHistory();
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console.log('App ready!');
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});
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function setupEventListeners() {
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// Sidebar toggle
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document.getElementById('sidebarToggle').onclick = toggleSidebar;
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// Send button
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document.getElementById('sendBtn').onclick = function() {
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console.log('Send button clicked');
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sendMessage();
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};
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// Enter key
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document.getElementById('messageInput').onkeypress = function(e) {
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if (e.key === 'Enter') {
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console.log('Enter pressed');
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sendMessage();
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}
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};
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// Model selection
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document.getElementById('modelSelect').onchange = function(e) {
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selectedModel = e.target.value;
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document.getElementById('modelId').textContent = selectedModel;
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document.getElementById('currentModelName').textContent = models[selectedModel];
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console.log('Model changed to:', selectedModel);
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};
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// New chat
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document.getElementById('newChatBtn').onclick = function() {
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messages = [];
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updateDisplay();
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console.log('New chat started');
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};
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// Save current chat
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document.getElementById('saveCurrentChatBtn').onclick = function() {
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saveCurrentChat();
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};
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// Clear chat
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document.getElementById('clearBtn').onclick = function() {
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messages = [];
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updateDisplay();
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console.log('Chat cleared');
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};
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// Download chat
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document.getElementById('downloadBtn').onclick = function() {
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downloadCurrentChat();
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};
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console.log('Event listeners setup complete');
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}
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function toggleSidebar() {
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const sidebar = document.getElementById('sidebar');
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const mainArea = document.getElementById('mainArea');
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const toggleIcon = document.getElementById('toggleIcon');
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sidebarVisible = !sidebarVisible;
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if (sidebarVisible) {
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sidebar.classList.remove('sidebar-hidden');
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toggleIcon.innerHTML = '<path d="M15.41 7.41L14 6l-6 6 6 6 1.41-1.41L10.83 12z"/>';
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} else {
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sidebar.classList.add('sidebar-hidden');
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toggleIcon.innerHTML = '<path d="M8.59 16.59L10 18l6-6-6-6-1.41 1.41L13.17 12z"/>';
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}
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}
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// Get user's real location (like your Streamlit code)
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async function getUserLocation() {
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try {
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if (navigator.geolocation) {
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const position = await new Promise((resolve, reject) => {
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navigator.geolocation.getCurrentPosition(resolve, reject, {
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timeout: 10000,
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enableHighAccuracy: false
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});
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});
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const { latitude, longitude } = position.coords;
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// Use reverse geocoding
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try {
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const response = await fetch(`https://api.bigdatacloud.net/data/reverse-geocode-client?latitude=${latitude}&longitude=${longitude}&localityLanguage=en`);
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const data = await response.json();
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userLocation = {
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city: data.city || data.locality || 'Unknown',
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country: data.countryName || 'Unknown'
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};
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} catch (geocodeError) {
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await getLocationByIP();
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}
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} else {
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await getLocationByIP();
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}
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} catch (error) {
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await getLocationByIP();
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}
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updateLocationDisplay();
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}
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async function getLocationByIP() {
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try {
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const response = await fetch('https://ipapi.co/json/');
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const data = await response.json();
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userLocation = {
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city: data.city || 'Unknown',
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country: data.country_name || 'Unknown'
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};
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} catch (error) {
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userLocation = { city: 'Unknown', country: 'Unknown' };
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}
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}
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function updateLocationDisplay() {
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document.getElementById('locationInfo').textContent = `📍 ${userLocation.city}, ${userLocation.country}`;
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}
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async function sendMessage() {
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const input = document.getElementById('messageInput');
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const message = input.value.trim();
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console.log('Sending message:', message);
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if (!message || isLoading) {
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console.log('No message or loading');
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return;
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}
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// Add user message
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messages.push({
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role: 'user',
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content: message
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});
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input.value = '';
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updateDisplay();
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setLoading(true);
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try {
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// Start streaming response - like your Streamlit code
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await streamAIResponse(message);
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} catch (error) {
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console.error('Error:', error);
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messages.push({
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role: 'assistant',
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content: 'Sorry, there was an error. Please try again.'
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});
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updateDisplay();
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}
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setLoading(false);
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}
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// Streaming implementation like your Streamlit code
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async function streamAIResponse(userMessage) {
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console.log('Starting stream...');
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// Add empty assistant message for streaming
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messages.push({
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role: 'assistant',
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content: ''
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});
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},
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body: JSON.stringify({
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model: selectedModel,
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messages: apiMessages,
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stream: true, // Enable streaming like Streamlit
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max_tokens: 2000,
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temperature: 0.7
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})
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});
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if (!response.ok) {
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throw new Error('API Error: ' + response.status);
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder();
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let fullResponse = '';
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try {
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while (true) {
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const { done, value } = await reader.read();
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if (done) break;
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const chunk = decoder.decode(value, { stream: true });
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const lines = chunk.split('\n');
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for (const line of lines) {
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if (line.trim() === '') continue;
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if (line.startsWith('data: ')) {
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const data = line.slice(6).trim();
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if (data === '[DONE]') {
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// Finalize response with attribution (like Streamlit)
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const modelName = models[selectedModel] || "AI";
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const finalResponse = fullResponse + "\n\n---\n*Response created by: **" + modelName + "***";
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messages[messages.length - 1].content = finalResponse;
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updateDisplay();
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return;
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}
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if (data === '') continue;
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| 567 |
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|
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|
| 582 |
|
| 583 |
-
|
| 584 |
-
|
| 585 |
-
}
|
| 586 |
-
|
| 587 |
-
function updateChatHistory() {
|
| 588 |
-
const historyList = document.getElementById('chatHistoryList');
|
| 589 |
|
| 590 |
-
|
| 591 |
-
|
| 592 |
-
|
| 593 |
-
|
| 594 |
-
|
| 595 |
-
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| 596 |
-
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| 597 |
-
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| 598 |
-
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| 599 |
-
|
| 600 |
-
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| 601 |
-
|
| 602 |
-
|
| 603 |
-
|
| 604 |
-
|
| 605 |
-
|
| 606 |
-
</button>
|
| 607 |
-
</div>
|
| 608 |
-
`;
|
| 609 |
-
});
|
| 610 |
-
|
| 611 |
-
historyList.innerHTML = html;
|
| 612 |
-
}
|
| 613 |
-
|
| 614 |
-
function loadChat(chatId) {
|
| 615 |
-
const chat = savedChats.find(c => c.id === chatId);
|
| 616 |
-
if (chat) {
|
| 617 |
-
messages = JSON.parse(JSON.stringify(chat.messages));
|
| 618 |
-
updateDisplay();
|
| 619 |
-
console.log('Chat loaded:', chat.title);
|
| 620 |
-
}
|
| 621 |
-
}
|
| 622 |
-
|
| 623 |
-
function deleteChat(chatId) {
|
| 624 |
-
if (confirm('Delete this chat?')) {
|
| 625 |
-
savedChats = savedChats.filter(c => c.id !== chatId);
|
| 626 |
-
localStorage.setItem('chatHistory', JSON.stringify(savedChats));
|
| 627 |
-
updateChatHistory();
|
| 628 |
-
}
|
| 629 |
-
}
|
| 630 |
-
|
| 631 |
-
function downloadCurrentChat() {
|
| 632 |
-
if (messages.length === 0) {
|
| 633 |
-
alert('No messages to download!');
|
| 634 |
-
return;
|
| 635 |
-
}
|
| 636 |
-
|
| 637 |
-
const chatData = {
|
| 638 |
-
title: generateChatTitle(),
|
| 639 |
-
messages: messages,
|
| 640 |
-
exportedAt: new Date().toISOString(),
|
| 641 |
-
location: userLocation,
|
| 642 |
-
userId: userId
|
| 643 |
-
};
|
| 644 |
-
|
| 645 |
-
const dataStr = JSON.stringify(chatData, null, 2);
|
| 646 |
-
const dataBlob = new Blob([dataStr], { type: 'application/json' });
|
| 647 |
-
const url = URL.createObjectURL(dataBlob);
|
| 648 |
-
const link = document.createElement('a');
|
| 649 |
-
link.href = url;
|
| 650 |
-
link.download = `chat_${new Date().toISOString().split('T')[0]}.json`;
|
| 651 |
-
link.click();
|
| 652 |
-
URL.revokeObjectURL(url);
|
|
|
|
| 1 |
+
import requests
|
| 2 |
+
import os
|
| 3 |
+
import json
|
| 4 |
+
import streamlit as st
|
| 5 |
+
from datetime import datetime
|
| 6 |
+
import time
|
| 7 |
+
|
| 8 |
+
# Page configuration
|
| 9 |
+
st.set_page_config(
|
| 10 |
+
page_title="Chat Flow 🕷",
|
| 11 |
+
page_icon="💬",
|
| 12 |
+
initial_sidebar_state="collapsed"
|
| 13 |
+
)
|
| 14 |
+
|
| 15 |
+
# White background
|
| 16 |
+
st.markdown("""
|
| 17 |
+
<style>
|
| 18 |
+
.stApp {
|
| 19 |
+
background: white;
|
| 20 |
+
}
|
| 21 |
+
|
| 22 |
+
.main .block-container {
|
| 23 |
+
max-width: 800px;
|
| 24 |
+
}
|
| 25 |
+
|
| 26 |
+
#MainMenu {visibility: hidden;}
|
| 27 |
+
footer {visibility: hidden;}
|
| 28 |
+
header {visibility: hidden;}
|
| 29 |
+
.stDeployButton {display: none;}
|
| 30 |
+
|
| 31 |
+
.model-id {
|
| 32 |
+
color: #28a745;
|
| 33 |
+
font-family: monospace;
|
| 34 |
+
}
|
| 35 |
+
|
| 36 |
+
.model-attribution {
|
| 37 |
+
color: #28a745;
|
| 38 |
+
font-size: 0.8em;
|
| 39 |
+
font-style: italic;
|
| 40 |
+
}
|
| 41 |
+
</style>
|
| 42 |
+
""", unsafe_allow_html=True)
|
| 43 |
+
|
| 44 |
+
# File to store chat history
|
| 45 |
+
HISTORY_FILE = "chat_history.json"
|
| 46 |
+
|
| 47 |
+
def load_chat_history():
|
| 48 |
+
"""Load chat history from file"""
|
| 49 |
+
try:
|
| 50 |
+
if os.path.exists(HISTORY_FILE):
|
| 51 |
+
with open(HISTORY_FILE, 'r', encoding='utf-8') as f:
|
| 52 |
+
return json.load(f)
|
| 53 |
+
except Exception as e:
|
| 54 |
+
st.error(f"Error loading chat history: {e}")
|
| 55 |
+
return []
|
| 56 |
+
|
| 57 |
+
def save_chat_history(messages):
|
| 58 |
+
"""Save chat history to file"""
|
| 59 |
+
try:
|
| 60 |
+
with open(HISTORY_FILE, 'w', encoding='utf-8') as f:
|
| 61 |
+
json.dump(messages, f, ensure_ascii=False, indent=2)
|
| 62 |
+
except Exception as e:
|
| 63 |
+
st.error(f"Error saving chat history: {e}")
|
| 64 |
+
|
| 65 |
+
def clear_chat_history():
|
| 66 |
+
"""Clear chat history file"""
|
| 67 |
+
try:
|
| 68 |
+
if os.path.exists(HISTORY_FILE):
|
| 69 |
+
os.remove(HISTORY_FILE)
|
| 70 |
+
st.session_state.messages = []
|
| 71 |
+
except Exception as e:
|
| 72 |
+
st.error(f"Error clearing chat history: {e}")
|
| 73 |
+
|
| 74 |
+
# Initialize session state with saved history
|
| 75 |
+
if "messages" not in st.session_state:
|
| 76 |
+
st.session_state.messages = load_chat_history()
|
| 77 |
+
|
| 78 |
+
# Get API key
|
| 79 |
+
OPENROUTER_API_KEY = os.environ.get("OPENROUTER_API_KEY")
|
| 80 |
+
|
| 81 |
+
@st.cache_data(ttl=300)
|
| 82 |
+
def check_api_status():
|
| 83 |
+
if not OPENROUTER_API_KEY:
|
| 84 |
+
return "No API Key"
|
| 85 |
+
try:
|
| 86 |
+
url = "https://openrouter.ai/api/v1/models"
|
| 87 |
+
headers = {"Authorization": f"Bearer {OPENROUTER_API_KEY}"}
|
| 88 |
+
response = requests.get(url, headers=headers, timeout=10)
|
| 89 |
+
return "Connected" if response.status_code == 200 else "Error"
|
| 90 |
+
except:
|
| 91 |
+
return "Error"
|
| 92 |
+
|
| 93 |
+
|
| 94 |
+
def get_ai_response(messages, model="openai/gpt-3.5-turbo"):
|
| 95 |
+
if not OPENROUTER_API_KEY:
|
| 96 |
+
return "No API key found. Please add OPENROUTER_API_KEY to environment variables."
|
| 97 |
+
|
| 98 |
+
url = "https://openrouter.ai/api/v1/chat/completions"
|
| 99 |
+
headers = {
|
| 100 |
+
"Content-Type": "application/json",
|
| 101 |
+
"Authorization": f"Bearer {OPENROUTER_API_KEY}",
|
| 102 |
+
"HTTP-Referer": "http://localhost:8501", # Optional: Your site URL
|
| 103 |
+
"X-Title": "Streamlit AI Assistant" # Optional: Your app name
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
# Create system message and user messages
|
| 107 |
+
api_messages = [{"role": "system", "content": "You are a helpful AI assistant. Provide clear and helpful responses."}]
|
| 108 |
+
api_messages.extend(messages)
|
| 109 |
+
|
| 110 |
+
data = {
|
| 111 |
+
"model": model,
|
| 112 |
+
"messages": api_messages,
|
| 113 |
+
"stream": True,
|
| 114 |
+
"max_tokens": 2000,
|
| 115 |
+
"temperature": 0.7,
|
| 116 |
+
"top_p": 1,
|
| 117 |
+
"frequency_penalty": 0,
|
| 118 |
+
"presence_penalty": 0
|
| 119 |
+
}
|
| 120 |
+
|
| 121 |
+
try:
|
| 122 |
+
response = requests.post(url, headers=headers, json=data, stream=True, timeout=60)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
|
| 124 |
+
# Better error handling
|
| 125 |
+
if response.status_code != 200:
|
| 126 |
+
error_detail = ""
|
| 127 |
+
try:
|
| 128 |
+
error_data = response.json()
|
| 129 |
+
error_detail = error_data.get('error', {}).get('message', f"HTTP {response.status_code}")
|
| 130 |
+
except:
|
| 131 |
+
error_detail = f"HTTP {response.status_code}: {response.reason}"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 132 |
|
| 133 |
+
yield f"API Error: {error_detail}. Please try a different model or check your API key."
|
| 134 |
+
return
|
| 135 |
+
|
| 136 |
+
full_response = ""
|
| 137 |
+
buffer = ""
|
| 138 |
+
|
| 139 |
+
# Using your working streaming logic
|
| 140 |
+
for line in response.iter_lines():
|
| 141 |
+
if line:
|
| 142 |
+
# The server sends lines starting with "data: ..."
|
| 143 |
+
if line.startswith(b"data: "):
|
| 144 |
+
data_str = line[len(b"data: "):].decode("utf-8")
|
| 145 |
+
if data_str.strip() == "[DONE]":
|
| 146 |
+
break
|
| 147 |
+
try:
|
| 148 |
+
data = json.loads(data_str)
|
| 149 |
+
delta = data["choices"][0]["delta"].get("content", "")
|
| 150 |
+
if delta:
|
| 151 |
+
full_response += delta
|
| 152 |
+
yield full_response
|
| 153 |
+
except json.JSONDecodeError:
|
| 154 |
+
continue
|
| 155 |
+
except (KeyError, IndexError):
|
| 156 |
+
continue
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 157 |
|
| 158 |
+
except requests.exceptions.Timeout:
|
| 159 |
+
yield "Request timed out. Please try again with a shorter message or different model."
|
| 160 |
+
except requests.exceptions.ConnectionError:
|
| 161 |
+
yield "Connection error. Please check your internet connection and try again."
|
| 162 |
+
except requests.exceptions.RequestException as e:
|
| 163 |
+
yield f"Request error: {str(e)}. Please try again."
|
| 164 |
+
except Exception as e:
|
| 165 |
+
yield f"Unexpected error: {str(e)}. Please try again or contact support."
|
| 166 |
+
|
| 167 |
+
# Header
|
| 168 |
+
st.title("AI Assistant")
|
| 169 |
+
st.caption("Ask me anything")
|
| 170 |
+
|
| 171 |
+
# Sidebar
|
| 172 |
+
with st.sidebar:
|
| 173 |
+
st.header("Settings")
|
| 174 |
+
|
| 175 |
+
# API Status
|
| 176 |
+
status = check_api_status()
|
| 177 |
+
if status == "Connected":
|
| 178 |
+
st.success("🟢 API Connected")
|
| 179 |
+
elif status == "No API Key":
|
| 180 |
+
st.error("No API Key")
|
| 181 |
+
else:
|
| 182 |
+
st.warning("Connection Issue")
|
| 183 |
+
|
| 184 |
+
st.divider()
|
| 185 |
+
|
| 186 |
+
# All models including new ones
|
| 187 |
+
models = [
|
| 188 |
+
("GPT-3.5 Turbo", "openai/gpt-3.5-turbo"),
|
| 189 |
+
("LLaMA 3.1 8B", "meta-llama/llama-3.1-8b-instruct"),
|
| 190 |
+
("LLaMA 3.1 70B", "meta-llama/llama-3.1-70b-instruct"),
|
| 191 |
+
("DeepSeek Chat v3", "deepseek/deepseek-chat-v3-0324:free"),
|
| 192 |
+
("DeepSeek R1", "deepseek/deepseek-r1-0528:free"),
|
| 193 |
+
("Qwen3 Coder", "qwen/qwen3-coder:free"),
|
| 194 |
+
("Microsoft MAI DS R1", "microsoft/mai-ds-r1:free"),
|
| 195 |
+
("Gemma 3 27B", "google/gemma-3-27b-it:free"),
|
| 196 |
+
("Gemma 3 4B", "google/gemma-3-4b-it:free"),
|
| 197 |
+
("Auto (Best Available)", "openrouter/auto")
|
| 198 |
+
]
|
| 199 |
+
|
| 200 |
+
model_names = [name for name, _ in models]
|
| 201 |
+
model_ids = [model_id for _, model_id in models]
|
| 202 |
+
|
| 203 |
+
selected_index = st.selectbox("Model", range(len(model_names)),
|
| 204 |
+
format_func=lambda x: model_names[x],
|
| 205 |
+
index=0)
|
| 206 |
+
selected_model = model_ids[selected_index]
|
| 207 |
+
|
| 208 |
+
# Show selected model ID in green
|
| 209 |
+
st.markdown(f"**Model ID:** <span class='model-id'>{selected_model}</span>", unsafe_allow_html=True)
|
| 210 |
+
|
| 211 |
+
st.divider()
|
| 212 |
+
|
| 213 |
+
# Chat History Controls
|
| 214 |
+
st.header("Chat History")
|
| 215 |
+
|
| 216 |
+
# Show number of messages
|
| 217 |
+
if st.session_state.messages:
|
| 218 |
+
st.info(f"Messages stored: {len(st.session_state.messages)}")
|
| 219 |
+
|
| 220 |
+
# Auto-save toggle
|
| 221 |
+
auto_save = st.checkbox("Auto-save messages", value=True)
|
| 222 |
+
|
| 223 |
+
# Manual save/load buttons
|
| 224 |
+
col1, col2 = st.columns(2)
|
| 225 |
+
with col1:
|
| 226 |
+
if st.button("Save History", use_container_width=True):
|
| 227 |
+
save_chat_history(st.session_state.messages)
|
| 228 |
+
st.success("History saved!")
|
| 229 |
+
|
| 230 |
+
with col2:
|
| 231 |
+
if st.button("Load History", use_container_width=True):
|
| 232 |
+
st.session_state.messages = load_chat_history()
|
| 233 |
+
st.success("History loaded!")
|
| 234 |
+
st.rerun()
|
| 235 |
+
|
| 236 |
+
st.divider()
|
| 237 |
+
|
| 238 |
+
# View History
|
| 239 |
+
if st.button("View History File", use_container_width=True):
|
| 240 |
+
if os.path.exists(HISTORY_FILE):
|
| 241 |
+
with open(HISTORY_FILE, 'r', encoding='utf-8') as f:
|
| 242 |
+
history_content = f.read()
|
| 243 |
+
st.text_area("Chat History (JSON)", history_content, height=200)
|
| 244 |
+
else:
|
| 245 |
+
st.warning("No history file found")
|
| 246 |
+
|
| 247 |
+
# Download History
|
| 248 |
+
if os.path.exists(HISTORY_FILE):
|
| 249 |
+
with open(HISTORY_FILE, 'rb') as f:
|
| 250 |
+
st.download_button(
|
| 251 |
+
label="Download History",
|
| 252 |
+
data=f.read(),
|
| 253 |
+
file_name=f"chat_history_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
|
| 254 |
+
mime="application/json",
|
| 255 |
+
use_container_width=True
|
| 256 |
+
)
|
| 257 |
+
|
| 258 |
+
st.divider()
|
| 259 |
+
|
| 260 |
+
# Clear controls
|
| 261 |
+
if st.button("Clear Chat", use_container_width=True, type="secondary"):
|
| 262 |
+
clear_chat_history()
|
| 263 |
+
st.success("Chat cleared!")
|
| 264 |
+
st.rerun()
|
| 265 |
+
|
| 266 |
+
# Show welcome message when no messages
|
| 267 |
+
if not st.session_state.messages:
|
| 268 |
+
st.info("How can I help you today?")
|
| 269 |
+
|
| 270 |
+
# Display chat messages
|
| 271 |
+
for message in st.session_state.messages:
|
| 272 |
+
with st.chat_message(message["role"]):
|
| 273 |
+
# Check if this is an assistant message with attribution
|
| 274 |
+
if message["role"] == "assistant" and "Response created by:" in message["content"]:
|
| 275 |
+
# Split content and attribution
|
| 276 |
+
parts = message["content"].split("\n\n---\n*Response created by:")
|
| 277 |
+
main_content = parts[0]
|
| 278 |
+
if len(parts) > 1:
|
| 279 |
+
model_name = parts[1].replace("***", "").replace("**", "")
|
| 280 |
+
st.markdown(main_content)
|
| 281 |
+
st.markdown(f"<div class='model-attribution'>Response created by: <strong>{model_name}</strong></div>", unsafe_allow_html=True)
|
| 282 |
+
else:
|
| 283 |
+
st.markdown(message["content"])
|
| 284 |
+
else:
|
| 285 |
+
st.markdown(message["content"])
|
| 286 |
+
|
| 287 |
+
# Chat input
|
| 288 |
+
if prompt := st.chat_input("Ask anything..."):
|
| 289 |
+
# Add user message
|
| 290 |
+
user_message = {"role": "user", "content": prompt}
|
| 291 |
+
st.session_state.messages.append(user_message)
|
| 292 |
+
|
| 293 |
+
# Auto-save if enabled
|
| 294 |
+
if auto_save:
|
| 295 |
+
save_chat_history(st.session_state.messages)
|
| 296 |
+
|
| 297 |
+
# Display user message
|
| 298 |
+
with st.chat_message("user"):
|
| 299 |
+
st.markdown(prompt)
|
| 300 |
+
|
| 301 |
+
# Get AI response
|
| 302 |
+
with st.chat_message("assistant"):
|
| 303 |
+
placeholder = st.empty()
|
| 304 |
+
|
| 305 |
+
full_response = ""
|
| 306 |
+
try:
|
| 307 |
+
for response in get_ai_response(st.session_state.messages, selected_model):
|
| 308 |
+
full_response = response
|
| 309 |
+
placeholder.markdown(full_response + "▌")
|
| 310 |
|
| 311 |
+
# Remove cursor and show final response
|
| 312 |
+
placeholder.markdown(full_response)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 313 |
|
| 314 |
+
except Exception as e:
|
| 315 |
+
error_msg = f"An error occurred: {str(e)}"
|
| 316 |
+
placeholder.markdown(error_msg)
|
| 317 |
+
full_response = error_msg
|
| 318 |
+
|
| 319 |
+
# Add AI response to messages with attribution
|
| 320 |
+
full_response_with_attribution = full_response + f"\n\n---\n*Response created by: **{model_names[selected_index]}***"
|
| 321 |
+
assistant_message = {"role": "assistant", "content": full_response_with_attribution}
|
| 322 |
+
st.session_state.messages.append(assistant_message)
|
| 323 |
+
|
| 324 |
+
# Auto-save if enabled
|
| 325 |
+
if auto_save:
|
| 326 |
+
save_chat_history(st.session_state.messages)
|
| 327 |
+
|
| 328 |
+
# Show currently using model
|
| 329 |
+
st.caption(f"Currently using: **{model_names[selected_index]}**")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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