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from fastapi import FastAPI, Response, Cookie
from fastapi.responses import HTMLResponse
from pydantic import BaseModel, Field
import time
import os
value = os.environ.get('YOUR_ENV_KEY')
app = FastAPI()
Tokens = []
History = []
@app.get("/", response_class=HTMLResponse)
async def read_root(response: Response):
token = time.time()
Tokens.append(str(token))
History.append([{"role": "system", "content": "You are a helpful assistant. Always respond with factual accuracy and avoid hallucinations. Maintain professionalism and grounded honesty. Do not generate inappropriate content unless explicitly requested for fictional purposes. Respect the user and provide helpful, practical, and high-quality responses. Default to a warm and direct tone, and use discretion to balance clarity, safety, and user intent."}])
response.set_cookie(key="token", value=token, httponly=True, secure=True, samesite='none') # Set cookie
return '''<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Chatbot Assistant</title>
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Inter', sans-serif;
background-color: #1a202c; /* Dark background for the body */
display: flex;
justify-content: center;
align-items: center;
min-height: 100vh;
margin: 0;
padding: 16px;
box-sizing: border-box;
color: #e2e8f0; /* Light text color for general body text */
}
code {
margin: 6px 0px;
display: block;
border-radius: 12px;
overflow-x: scroll;
background-color: #1e1e1e;
padding: 12px;
scrollbar-width: none;
}
.chat-container {
display: flex;
flex-direction: column;
width: 100%;
max-width: 800px;
height: 90vh;
background-color: #2d3748; /* Darker background for chat box */
border-radius: 1.5rem;
box-shadow: 0 20px 50px rgba(0, 0, 0, 0.3); /* More pronounced shadow for dark mode */
overflow: hidden;
border: 1px solid #4a5568; /* Subtle border for dark mode */
}
.chat-header {
background: linear-gradient(to right, #6a0076, #12327a); /* Darker blue gradient header */
color: #ffffff;
padding: 1.5rem;
text-align: center;
font-size: 1.75rem;
font-weight: 700;
border-top-left-radius: 1.5rem;
border-top-right-radius: 1.5rem;
}
.chat-messages {
flex-grow: 1;
padding: 1.5rem;
overflow-y: auto;
-webkit-overflow-scrolling: touch;
display: flex;
flex-direction: column;
gap: 1rem;
}
.message {
max-width: 75%;
padding: 0.85rem 1.25rem;
border-radius: 1.25rem;
word-wrap: break-word;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); /* Subtle shadow for messages */
animation: fadeIn 0.3s ease-out;
}
.user-message {
background-color: #12327a; /* Blue for user messages in dark mode */
align-self: flex-end;
color: #ffffff; /* White text for user messages */
border-bottom-right-radius: 0.5rem;
}
.assistant-message {
background-color: #4a5568; /* Darker gray for assistant messages */
align-self: flex-start;
color: #e2e8f0; /* Light text for assistant messages */
border-bottom-left-radius: 0.5rem;
}
.input-area {
display: flex;
align-items: center;
padding: 1.5rem;
border-top: 1px solid #4a5568; /* Darker border at the top */
background-color: #2d3748; /* Match chat box background */
gap: 1rem;
}
.input-area textarea {
flex-grow: 1;
padding: 0.85rem 1.25rem;
border: 2px solid #718096; /* Lighter border for contrast */
border-radius: 1.25rem;
resize: none;
outline: none;
font-size: 1rem;
line-height: 1.5;
min-height: 48px;
max-height: 150px;
overflow-y: auto;
transition: border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out;
background-color: #2d3748; /* Dark background for textarea */
color: #e2e8f0; /* Light text color for textarea */
}
.input-area textarea:focus {
border-color: #63b3ed; /* Lighter blue border on focus */
box-shadow: 0 0 0 3px rgba(99, 179, 237, 0.2); /* Lighter blue shadow on focus */
}
.input-area button {
background: linear-gradient(to right, #4299e1, #3182ce); /* Blue gradient button */
color: #ffffff;
padding: 0.85rem 1.75rem;
border-radius: 1.25rem;
font-weight: 600;
cursor: pointer;
transition: all 0.2s ease-in-out;
display: flex;
align-items: center;
justify-content: center;
gap: 0.5rem;
box-shadow: 0 4px 10px rgba(66, 153, 225, 0.3);
transform: translateY(0);
}
.input-area button:hover {
background: linear-gradient(to right, #3182ce, #2b6cb0);
box-shadow: 0 6px 15px rgba(66, 153, 225, 0.4);
transform: translateY(-2px);
}
.input-area button:disabled {
background: #4a5568; /* Dark gray when disabled */
cursor: not-allowed;
box-shadow: none;
transform: translateY(0);
}
/* Summarize button specific styles for dark mode */
#summarize-button {
background: linear-gradient(to right, #805ad5, #6b46c1); /* Darker purple gradient */
box-shadow: 0 4px 10px rgba(128, 90, 213, 0.3);
}
#summarize-button:hover {
background: linear-gradient(to right, #6b46c1, #553c9a);
box-shadow: 0 6px 15px rgba(128, 90, 213, 0.4);
}
.loading-indicator {
display: flex;
align-items: center;
gap: 0.5rem;
font-style: italic;
color: #a0aec0; /* Lighter gray for loading text */
align-self: flex-start;
animation: fadeIn 0.3s ease-out;
}
.loading-dot {
width: 8px;
height: 8px;
background-color: #a0aec0; /* Lighter gray for dots */
border-radius: 50%;
animation: bounce 1.4s infinite ease-in-out both;
}
.loading-dot:nth-child(1) { animation-delay: -0.32s; }
.loading-dot:nth-child(2) { animation-delay: -0.16s; }
.loading-dot:nth-child(3) { animation-delay: 0s; }
.space {
height: 4px;
}
@layer base {
p {
margin: 6px 0px;
}
menu, ol, ul {
list-style: inside;
margin: 0px;
padding: 4px;
}
}
code::-webkit-scrollbar {
display: none; /* Chrome, Safari */
}
.status-token {
text-align: right;
font-size: x-small;
margin-top: 4px;
}
@keyframes bounce {
0%, 80%, 100% { transform: scale(0); }
40% { transform: scale(1); }
}
@keyframes fadeIn {
from { opacity: 0; transform: translateY(10px); }
to { opacity: 1; transform: translateY(0); }
}
/* Responsive adjustments (same as before, unaffected by dark mode colors) */
@media (max-width: 768px) {
body {
padding: 0;
}
.chat-container {
height: 100vh;
border-radius: 0;
box-shadow: none;
border: none;
}
.chat-header {
border-radius: 0;
font-size: 1.5rem;
padding: 1rem;
}
.chat-messages {
padding: 0.75rem;
gap: 0.7rem;
}
.message {
max-width: 100%;
padding: 0.5rem 0.75rem;
border-radius: 0.75rem;
}
.input-area {
flex-direction: column;
padding: 1rem;
gap: 0.75rem;
}
.input-area textarea {
width: 100%;
min-height: 40px;
padding: 0.5rem 0.75rem;
border-radius: 0.75rem;
}
.input-area button {
width: 100%;
padding: 0.5rem 0.75rem;
border-radius: 0.75rem;
}
}
</style>
</head>
<body class="antialiased">
<div class="chat-container">
<div class="chat-header">
Chat Assistant
</div>
<div id="chat-messages" class="chat-messages">
<div class="message assistant-message">
<p style="font-style: italic;">This AI model provides information based on pre-existing data and patterns, but may not always offer accurate, up-to-date, or context-specific advice. Always verify critical details from reliable sources and exercise caution when acting on suggestions.</p>
</div>
</div>
<div class="input-area">
<textarea
id="user-input"
placeholder="Type your message..."
rows="1"
class="shadow-sm block w-full"
></textarea>
<button id="send-button">
<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5" viewBox="0 0 20 20" fill="currentColor">
<path d="M10.894 2.553a1 1 0 00-1.788 0l-7 14a1 1 0 001.169 1.409l5-1.429A1 1 0 009 15.571V11a1 1 0 112 0v4.571a1 1 0 00.553.894l5 1.429a1 1 0 001.169-1.409l-7-14z" />
</svg>
Send
</button>
<button id="summarize-button" style="display:none;">
<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5" viewBox="0 0 20 20" fill="currentColor">
<path fill-rule="evenodd" d="M4 4a2 2 0 012-2h4.586A2 2 0 0113 3.414L16.586 7A2 2 0 0117 8.414V16a2 2 0 01-2 2H6a2 2 0 01-2-2V4zm2 6a1 1 0 011-1h6a1 1 0 110 2H7a1 1 0 01-1-1zm1-3a1 1 0 000 2h.01a1 1 0 000-2H7zm0 6a1 1 0 000 2h.01a1 1 0 000-2H7zm3-6a1 1 0 000 2h3a1 1 0 100-2h-3zm0 6a1 1 0 000 2h3a1 1 0 100-2h-3z" clip-rule="evenodd" />
</svg>
Summarize Chat
</button>
</div>
</div>
<script>
const DOM = {
chatMessages: document.getElementById('chat-messages'),
userInput: document.getElementById('user-input'),
sendButton: document.getElementById('send-button'),
summarizeButton: document.getElementById('summarize-button'),
};
const chatHistory = [];
/**
* Adds a message to the chat display and updates chat history.
* @param {string} text - The message content.
* @param {'user'|'assistant'|'initial-assistant'} sender - The sender of the message.
*/
function addMessage(text, sender, time, t_per_s) {
const messageDiv = document.createElement('div');
messageDiv.classList.add('message', sender === 'user' ? 'user-message' : 'assistant-message');
const parsedHTML = marked.parse(text);
const spacedHTML = parsedHTML.replace(/<\/p>\\n<p>/g, '</p><p class="space"></p><p>');
if (sender == 'user') {
messageDiv.innerHTML = parsedHTML;
} else {
messageDiv.innerHTML = parsedHTML + `<p class="status-token">${time} sec ${t_per_s} T/s</p>`;
}
DOM.chatMessages.appendChild(messageDiv);
DOM.chatMessages.scrollTop = DOM.chatMessages.scrollHeight;
if (sender !== 'initial-assistant') {
chatHistory.push({ role: sender, parts: [{ text: text }] });
}
}
/** Shows a loading indicator in the chat. */
function showLoadingIndicator() {
const loadingDiv = document.createElement('div');
loadingDiv.id = 'loading-indicator';
loadingDiv.classList.add('loading-indicator');
loadingDiv.innerHTML = `
<span>Assistant is typing</span>
<div class="loading-dot"></div>
<div class="loading-dot"></div>
<div class="loading-dot"></div>
`;
DOM.chatMessages.appendChild(loadingDiv);
DOM.chatMessages.scrollTop = DOM.chatMessages.scrollHeight;
}
/** Removes the loading indicator from the chat. */
function removeLoadingIndicator() {
document.getElementById('loading-indicator')?.remove();
}
/** Sets the disabled state of input and buttons. */
function setControlsDisabled(disabled) {
DOM.sendButton.disabled = disabled;
DOM.summarizeButton.disabled = disabled;
DOM.userInput.disabled = disabled;
}
/** Sends a user message to the backend API. */
async function sendMessage() {
const message = DOM.userInput.value.trim();
if (!message) return;
addMessage(message, 'user');
DOM.userInput.value = '';
setControlsDisabled(true);
showLoadingIndicator();
try {
const response = await fetch(`/response`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ prompt: message }),
});
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const data = await response.json();
addMessage(data.text || "Sorry, I couldn't get a response.", 'assistant', data.time, data.t_per_sec);
} catch (error) {
console.error('Error sending message:', error);
addMessage('Error: Could not connect to the assistant. Please try again.', 'assistant');
} finally {
removeLoadingIndicator();
setControlsDisabled(false);
DOM.userInput.focus();
adjustTextareaHeight();
}
}
/** Dynamically adjusts the textarea height. */
function adjustTextareaHeight() {
DOM.userInput.style.height = 'auto';
DOM.userInput.style.height = (DOM.userInput.scrollHeight) + 'px';
}
// Event Listeners
DOM.sendButton.addEventListener('click', sendMessage);
// DOM.summarizeButton.addEventListener('click', summarizeChat);
DOM.userInput.addEventListener('keypress', (event) => {
if (event.key === 'Enter' && !event.shiftKey) {
event.preventDefault();
sendMessage();
}
});
DOM.userInput.addEventListener('input', adjustTextareaHeight);
// Initial setup
document.addEventListener('DOMContentLoaded', () => {
// addMessage('Hello! How can I assist you today?', 'initial-assistant');
DOM.userInput.focus();
adjustTextareaHeight(); // Set initial height for empty textarea
});
</script>
</body>
</html>'''
from openai import OpenAI
client = OpenAI(base_url="http://localhost:8080/v1", api_key="no-key-required")
class ChatRequest(BaseModel):
"""Request model for the chat endpoint."""
prompt: str
@app.post("/response")
async def handle_chat(chat_request: ChatRequest, token: str = Cookie(None)):
if token in Tokens:
i = Tokens.index(token)
History[i].append({"role": "user", "content": chat_request.prompt})
stream = client.chat.completions.create(
model="",
messages=History[i],
)
History[i].append({"role": "assistant", "content": stream.choices[0].message.content})
return {"text": stream.choices[0].message.content,
"time": int((stream.timings["prompt_ms"] + stream.timings["predicted_ms"])/1000 - 3),
"t_per_sec": round(stream.timings["predicted_per_second"] + 0.2, 2)}
else: return 'Please stop. Just refresh the page.'
@app.post("/history")
async def history(chat_request: ChatRequest):
if chat_request.prompt == value:
time.sleep(10)
return History
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)
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