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CooLLaMA
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import os
import uuid
import requests
from flask import Flask, request, jsonify, render_template_string
from llama_cpp import Llama

app = Flask(__name__)

# === CONFIGURATION ===
MODEL_URL = "https://huggingface.co/CooLLaMACEO/CooLLaMA-Gemma2/resolve/main/gemma-2-2b-it.q3_k_m.gguf"
MODEL_PATH = "model.gguf"

# === DOWNLOAD MODEL (Run once) ===
if not os.path.exists(MODEL_PATH):
    print("Downloading GGUF model... this may take a few minutes.")
    with requests.get(MODEL_URL, stream=True) as r:
        r.raise_for_status()
        with open(MODEL_PATH, "wb") as f:
            for chunk in r.iter_content(chunk_size=8192):
                f.write(chunk)
    print("Download complete!")

# === INITIALIZE LLM ===
# n_ctx is the context window (memory). 2048 is a good balance for free tier RAM.
llm = Llama(
    model_path=MODEL_PATH,
    n_ctx=2048,
    n_threads=4  # Optimized for HF free tier CPU
)

# === HTML TEMPLATE ===
HTML_TEMPLATE = """
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>CooLLaMA AI</title>
    <link href="https://fonts.googleapis.com/css2?family=Plus+Jakarta+Sans:wght@400;500;600;800&display=swap" rel="stylesheet">
    <script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
    <link href="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/themes/prism-tomorrow.min.css" rel="stylesheet" />
    <script src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/prism.min.js"></script>
    <style>
        :root { --bg:#0b0f1a; --card:#161b2c; --user-blue:#2563eb; --ai-bubble:#1e293b; --accent:#8b5cf6; --text-light:#f1f5f9; --text-dim:#64748b; }
        body { font-family:'Plus Jakarta Sans',sans-serif; background:var(--bg); color:var(--text-light); display:flex; height:100vh; margin:0; overflow:hidden; }
        #sidebar { width:260px; background:#090c14; display:flex; flex-direction:column; border-right:1px solid #2d3748; padding:20px; }
        .new-chat-btn { background:linear-gradient(135deg,#2563eb,#7c3aed); border:none; color:white; padding:14px; border-radius:12px; cursor:pointer; font-weight:800; margin-bottom:25px; transition:all 0.2s ease; }
        .new-chat-btn:hover { transform:translateY(-2px); box-shadow:0 5px 15px rgba(37,99,235,0.4); }
        #chat-list { flex:1; overflow-y:auto; display:flex; flex-direction:column; gap:8px; }
        .chat-item { padding:12px; border-radius:10px; cursor:pointer; font-size:13px; color:var(--text-dim); transition:0.3s; border:1px solid transparent; white-space:nowrap; overflow:hidden; text-overflow:ellipsis; }
        .chat-item:hover { background:#1e293b; color:white; border-color:#334155; }
        .chat-item.active { background:#1e293b; color:white; border-color:#2563eb; }
        #main-container { flex:1; display:flex; flex-direction:column; }
        header { padding:20px 30px; border-bottom:1px solid #2d3748; display:flex; justify-content:space-between; align-items:center; }
        header h1 { font-size:1.5rem; margin:0; font-weight:800; background:linear-gradient(90deg,#60a5fa,#a78bfa); -webkit-background-clip:text; -webkit-text-fill-color:transparent; }
        #chat { flex:1; padding:25px; overflow-y:auto; display:flex; flex-direction:column; gap:20px; }
        .message-row { display:flex; flex-direction:column; width:100%; animation:slideUp 0.3s ease-out; }
        .message { max-width:85%; padding:14px 20px; border-radius:18px; font-size:15px; line-height:1.6; }
        .user-row { align-items:flex-end; }
        .user { background:var(--user-blue); color:white; border-bottom-right-radius:2px; }
        .ai-row { align-items:flex-start; }
        .ai { background:var(--ai-bubble); color:var(--text-light); border:1px solid #334155; border-bottom-left-radius:2px; }
        .label { font-size:10px; font-weight:700; margin-bottom:6px; color:var(--text-dim); text-transform:uppercase; }
        #input-container { padding:25px; background:var(--card); border-top:1px solid #2d3748; }
        .input-box { max-width:850px; margin:0 auto; display:flex; background:#0b0f1a; border:1px solid #334155; border-radius:15px; padding:10px; }
        textarea { flex:1; border:none; background:transparent; padding:10px; font-size:16px; outline:none; color:white; resize:none; }
        button#send-btn { background:var(--user-blue); border:none; color:white; padding:0 25px; border-radius:10px; cursor:pointer; font-weight:800; }
    </style>
</head>
<body>
<div id="sidebar">
    <button class="new-chat-btn" onclick="startNewChat()">+ New Chat</button>
    <div id="chat-list"></div>
</div>
<div id="main-container">
    <header><h1>🦙 CooLLaMA</h1><div style="font-size:10px; color:#64748b; font-weight:700;">v3.5 GGUF</div></header>
    <div id="chat"></div>
    <div id="input-container">
        <div class="input-box">
            <textarea id="message" placeholder="Send a message..." rows="1"></textarea>
            <button id="send-btn" onclick="sendMessage()">Send</button>
        </div>
    </div>
</div>
<script>
    let currentChatId = null;
    let localData = JSON.parse(localStorage.getItem('coolllama_chats')) || {};
    
    function loadSidebar(){
        const list=document.getElementById("chat-list"); list.innerHTML="";
        Object.keys(localData).reverse().forEach(id=>{
            const item=document.createElement("div");
            item.className="chat-item"+(id===currentChatId?" active":"");
            item.innerText=`Session ${id}`;
            item.onclick=()=>selectChat(id);
            list.appendChild(item);
        });
    }

    async function startNewChat(){
        const res=await fetch("/new_chat",{method:"POST"});
        const data=await res.json();
        currentChatId=data.chat_id;
        localData[currentChatId]=[];
        saveToCache(); loadSidebar(); selectChat(currentChatId);
    }

    function selectChat(id){
        currentChatId=id;
        document.getElementById("chat").innerHTML="";
        (localData[id] || []).forEach(msg=>appendMessage(msg.role,msg.content));
        loadSidebar();
    }

    function appendMessage(role,text){
        const chatDiv=document.getElementById("chat");
        const row=document.createElement("div");
        row.className=`message-row ${role==='user'?'user-row':'ai-row'}`;
        const content = role==='user' ? text : marked.parse(text);
        row.innerHTML=`<span class="label">${role==='user'?'You':'CooLLaMA'}</span><div class="message ${role==='user'?'user':'ai'}">${content}</div>`;
        chatDiv.appendChild(row);
        chatDiv.scrollTop=chatDiv.scrollHeight;
    }

    async function sendMessage(){
        const input=document.getElementById("message");
        const text=input.value.trim();
        if(!text || !currentChatId) return;
        
        appendMessage('user', text);
        localData[currentChatId].push({role:'user', content:text});
        input.value="";

        const res=await fetch("/chat",{
            method:"POST",
            headers:{"Content-Type":"application/json"},
            body:JSON.stringify({history:localData[currentChatId]})
        });
        const data=await res.json();
        appendMessage('assistant', data.response);
        localData[currentChatId].push({role:'assistant', content:data.response});
        saveToCache();
    }

    function saveToCache(){ localStorage.setItem('coolllama_chats', JSON.stringify(localData)); }
    loadSidebar();
    if(Object.keys(localData).length > 0) selectChat(Object.keys(localData).sort().reverse()[0]);
    else startNewChat();
</script>
</body>
</html>
"""

@app.route("/")
def index():
    return render_template_string(HTML_TEMPLATE)

@app.route("/new_chat", methods=["POST"])
def new_chat():
    return jsonify({"chat_id": str(uuid.uuid4())[:8].upper()})

@app.route("/chat", methods=["POST"])
def chat():
    data = request.json
    history = data.get("history", [])
    
    # Simple Prompt Formatting for Gemma-2
    user_input = history[-1]["content"] if history else ""
    prompt = f"<start_of_turn>user\n{user_input}<end_of_turn>\n<start_of_turn>model\n"
    
    # Generate
    output = llm(
        prompt, 
        max_tokens=512, 
        stop=["<end_of_turn>", "user"], 
        echo=False
    )
    
    response_text = output["choices"][0]["text"].strip()
    return jsonify({"response": response_text})

if __name__ == "__main__":
    # HF Spaces listen on port 7860 by default
    app.run(host="0.0.0.0", port=7860)