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Create app.py
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app.py
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| 1 |
+
import os
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| 2 |
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import time
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| 3 |
+
import threading
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| 4 |
+
import socket
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| 5 |
+
import subprocess
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| 6 |
+
import asyncio
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| 7 |
+
import json
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| 8 |
+
import uuid
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| 9 |
+
import requests
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| 10 |
+
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| 11 |
+
from fastapi import FastAPI, Request, Header
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| 12 |
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from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
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| 13 |
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| 14 |
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app = FastAPI()
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| 15 |
+
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| 16 |
+
# ----------------------------
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| 17 |
+
# Config
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| 18 |
+
# ----------------------------
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| 19 |
+
API_KEY = os.getenv("API_KEY", "821274")
|
| 20 |
+
MODEL = os.getenv("MODEL", "llama3.2:1b")
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| 21 |
+
OLLAMA_BASE = os.getenv("OLLAMA_BASE", "http://127.0.0.1:11434")
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| 22 |
+
|
| 23 |
+
SYSTEM_PROMPT = """
|
| 24 |
+
You are a helpful, friendly AI assistant.
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| 25 |
+
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| 26 |
+
Rules:
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| 27 |
+
- If the user asks casual conversation, respond normally in plain text.
|
| 28 |
+
- If the user asks for code/scripts/automation or says “just do it” / “write something”, choose a reasonable task and output a complete useful script.
|
| 29 |
+
- Don’t refuse normal conversation.
|
| 30 |
+
- Only output code when appropriate.
|
| 31 |
+
- When you write code: output code first, then a short explanation.
|
| 32 |
+
|
| 33 |
+
Always be helpful. Never say you cannot fulfill a request unless it is unsafe.
|
| 34 |
+
""".strip()
|
| 35 |
+
|
| 36 |
+
# Free CPU: serialize requests to avoid overload / timeouts
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| 37 |
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GEN_SEM = asyncio.Semaphore(1)
|
| 38 |
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|
| 39 |
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# ----------------------------
|
| 40 |
+
# Ollama helpers
|
| 41 |
+
# ----------------------------
|
| 42 |
+
def is_port_open(host="127.0.0.1", port=11434) -> bool:
|
| 43 |
+
try:
|
| 44 |
+
with socket.create_connection((host, port), timeout=0.5):
|
| 45 |
+
return True
|
| 46 |
+
except OSError:
|
| 47 |
+
return False
|
| 48 |
+
|
| 49 |
+
def ollama_healthy() -> bool:
|
| 50 |
+
try:
|
| 51 |
+
r = requests.get(f"{OLLAMA_BASE}/api/tags", timeout=1.5)
|
| 52 |
+
return r.status_code == 200
|
| 53 |
+
except Exception:
|
| 54 |
+
return False
|
| 55 |
+
|
| 56 |
+
def ensure_ollama_running():
|
| 57 |
+
# Only start if not reachable
|
| 58 |
+
if not is_port_open("127.0.0.1", 11434):
|
| 59 |
+
subprocess.Popen(["ollama", "serve"])
|
| 60 |
+
|
| 61 |
+
def wait_for_ollama(timeout_s=120) -> bool:
|
| 62 |
+
start = time.time()
|
| 63 |
+
while time.time() - start < timeout_s:
|
| 64 |
+
if ollama_healthy():
|
| 65 |
+
return True
|
| 66 |
+
time.sleep(1)
|
| 67 |
+
return False
|
| 68 |
+
|
| 69 |
+
def pull_and_warm_model():
|
| 70 |
+
"""
|
| 71 |
+
Best-effort: pull the model (may be slow on free CPU) and warm it once.
|
| 72 |
+
Safe to fail (space still boots).
|
| 73 |
+
"""
|
| 74 |
+
try:
|
| 75 |
+
ensure_ollama_running()
|
| 76 |
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if not wait_for_ollama(120):
|
| 77 |
+
print("Ollama not ready yet; skipping model pull.")
|
| 78 |
+
return
|
| 79 |
+
|
| 80 |
+
print(f"Pulling model: {MODEL}")
|
| 81 |
+
r = requests.post(f"{OLLAMA_BASE}/api/pull", json={"name": MODEL}, timeout=60 * 30)
|
| 82 |
+
if r.status_code != 200:
|
| 83 |
+
print("Pull failed:", r.text[:2000])
|
| 84 |
+
return
|
| 85 |
+
|
| 86 |
+
# Warmup: avoids first real user request being extra flaky/slow
|
| 87 |
+
print("Warming up…")
|
| 88 |
+
requests.post(
|
| 89 |
+
f"{OLLAMA_BASE}/api/generate",
|
| 90 |
+
json={"model": MODEL, "system": SYSTEM_PROMPT, "prompt": "Say: ready.", "stream": False},
|
| 91 |
+
timeout=180,
|
| 92 |
+
)
|
| 93 |
+
print("Warmup done.")
|
| 94 |
+
except Exception as e:
|
| 95 |
+
print("Boot task error (non-fatal):", str(e))
|
| 96 |
+
|
| 97 |
+
threading.Thread(target=pull_and_warm_model, daemon=True).start()
|
| 98 |
+
|
| 99 |
+
def generate_with_recovery(prompt: str, attempts: int = 3):
|
| 100 |
+
last_err = None
|
| 101 |
+
for i in range(1, attempts + 1):
|
| 102 |
+
try:
|
| 103 |
+
if not ollama_healthy():
|
| 104 |
+
ensure_ollama_running()
|
| 105 |
+
wait_for_ollama(60)
|
| 106 |
+
|
| 107 |
+
r = requests.post(
|
| 108 |
+
f"{OLLAMA_BASE}/api/generate",
|
| 109 |
+
json={
|
| 110 |
+
"model": MODEL,
|
| 111 |
+
"system": SYSTEM_PROMPT,
|
| 112 |
+
"prompt": prompt,
|
| 113 |
+
"stream": False,
|
| 114 |
+
},
|
| 115 |
+
timeout=600,
|
| 116 |
+
)
|
| 117 |
+
r.raise_for_status()
|
| 118 |
+
data = r.json()
|
| 119 |
+
return data.get("response", ""), None
|
| 120 |
+
except Exception as e:
|
| 121 |
+
last_err = str(e)
|
| 122 |
+
time.sleep(min(2 ** (i - 1), 4))
|
| 123 |
+
|
| 124 |
+
return (
|
| 125 |
+
"⚠️ Backend hiccup while generating. Retrying usually works.\n\n"
|
| 126 |
+
"Debug error:\n" + (last_err or "unknown"),
|
| 127 |
+
last_err,
|
| 128 |
+
)
|
| 129 |
+
|
| 130 |
+
def messages_to_prompt(messages):
|
| 131 |
+
"""
|
| 132 |
+
Convert OpenAI-style messages into a single prompt string for Ollama /api/generate.
|
| 133 |
+
"""
|
| 134 |
+
parts = []
|
| 135 |
+
for m in messages or []:
|
| 136 |
+
role = (m.get("role") or "user").strip().upper()
|
| 137 |
+
content = (m.get("content") or "").strip()
|
| 138 |
+
if content:
|
| 139 |
+
parts.append(f"{role}:\n{content}")
|
| 140 |
+
return "\n\n".join(parts).strip()
|
| 141 |
+
|
| 142 |
+
# ----------------------------
|
| 143 |
+
# Health
|
| 144 |
+
# ----------------------------
|
| 145 |
+
@app.get("/health")
|
| 146 |
+
def health():
|
| 147 |
+
return {"ok": ollama_healthy(), "model": MODEL}
|
| 148 |
+
|
| 149 |
+
# ----------------------------
|
| 150 |
+
# OpenAI compatibility endpoints
|
| 151 |
+
# ----------------------------
|
| 152 |
+
@app.get("/v1/models")
|
| 153 |
+
def openai_models(authorization: str = Header(default="")):
|
| 154 |
+
# Optional auth check (recommended)
|
| 155 |
+
if authorization and authorization != f"Bearer {API_KEY}":
|
| 156 |
+
return JSONResponse({"error": {"message": "Invalid API key"}}, status_code=401)
|
| 157 |
+
|
| 158 |
+
return {
|
| 159 |
+
"object": "list",
|
| 160 |
+
"data": [
|
| 161 |
+
{
|
| 162 |
+
"id": MODEL,
|
| 163 |
+
"object": "model",
|
| 164 |
+
"created": int(time.time()),
|
| 165 |
+
"owned_by": "private-ai"
|
| 166 |
+
}
|
| 167 |
+
]
|
| 168 |
+
}
|
| 169 |
+
|
| 170 |
+
@app.post("/v1/chat/completions")
|
| 171 |
+
async def openai_chat_completions(request: Request, authorization: str = Header(default="")):
|
| 172 |
+
# OpenAI-style auth
|
| 173 |
+
if authorization != f"Bearer {API_KEY}":
|
| 174 |
+
return JSONResponse(
|
| 175 |
+
{"error": {"message": "Invalid API key", "type": "auth_error"}},
|
| 176 |
+
status_code=401
|
| 177 |
+
)
|
| 178 |
+
|
| 179 |
+
body = await request.json()
|
| 180 |
+
model = body.get("model") or MODEL
|
| 181 |
+
messages = body.get("messages") or []
|
| 182 |
+
|
| 183 |
+
# Convert into a single prompt for Ollama generate
|
| 184 |
+
prompt = messages_to_prompt(messages)
|
| 185 |
+
if not prompt:
|
| 186 |
+
prompt = "USER:\nHello"
|
| 187 |
+
|
| 188 |
+
async with GEN_SEM:
|
| 189 |
+
text, err = generate_with_recovery(prompt, attempts=3)
|
| 190 |
+
|
| 191 |
+
# If error, still return valid OpenAI shaped response
|
| 192 |
+
if err:
|
| 193 |
+
text += f"\n\n---\nBackend error:\n{err}"
|
| 194 |
+
|
| 195 |
+
return {
|
| 196 |
+
"id": f"chatcmpl-{uuid.uuid4().hex}",
|
| 197 |
+
"object": "chat.completion",
|
| 198 |
+
"created": int(time.time()),
|
| 199 |
+
"model": model,
|
| 200 |
+
"choices": [
|
| 201 |
+
{
|
| 202 |
+
"index": 0,
|
| 203 |
+
"message": {"role": "assistant", "content": text},
|
| 204 |
+
"finish_reason": "stop"
|
| 205 |
+
}
|
| 206 |
+
],
|
| 207 |
+
"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}
|
| 208 |
+
}
|
| 209 |
+
|
| 210 |
+
# ----------------------------
|
| 211 |
+
# UI (REAL HTML, not escaped)
|
| 212 |
+
# ----------------------------
|
| 213 |
+
@app.get("/", response_class=HTMLResponse)
|
| 214 |
+
def ui():
|
| 215 |
+
return f"""<!doctype html>
|
| 216 |
+
<html lang="en">
|
| 217 |
+
<head>
|
| 218 |
+
<meta charset="utf-8" />
|
| 219 |
+
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
| 220 |
+
<title>Private AI</title>
|
| 221 |
+
<style>
|
| 222 |
+
:root {{
|
| 223 |
+
--bg:#0b0f17;
|
| 224 |
+
--panel:rgba(255,255,255,.06);
|
| 225 |
+
--border:rgba(255,255,255,.10);
|
| 226 |
+
--text:rgba(255,255,255,.92);
|
| 227 |
+
--muted:rgba(255,255,255,.55);
|
| 228 |
+
--radius:18px;
|
| 229 |
+
--shadow:0 12px 40px rgba(0,0,0,.35);
|
| 230 |
+
}}
|
| 231 |
+
*{{box-sizing:border-box}}
|
| 232 |
+
body{{
|
| 233 |
+
margin:0;height:100vh;overflow:hidden;
|
| 234 |
+
font-family:ui-sans-serif,system-ui,-apple-system,Segoe UI,Roboto;
|
| 235 |
+
background:
|
| 236 |
+
radial-gradient(900px 600px at 20% 0%, rgba(59,130,246,.18), transparent 60%),
|
| 237 |
+
radial-gradient(800px 600px at 80% 0%, rgba(168,85,247,.16), transparent 60%),
|
| 238 |
+
var(--bg);
|
| 239 |
+
color:var(--text);
|
| 240 |
+
}}
|
| 241 |
+
.app{{display:grid;grid-template-rows:auto 1fr auto;height:100vh}}
|
| 242 |
+
header{{
|
| 243 |
+
padding:14px 18px;border-bottom:1px solid var(--border);
|
| 244 |
+
backdrop-filter:blur(14px);background:rgba(10,14,22,.6);
|
| 245 |
+
}}
|
| 246 |
+
header .inner{{max-width:980px;margin:0 auto;display:flex;align-items:center;justify-content:space-between}}
|
| 247 |
+
header h1{{font-size:14px;margin:0;font-weight:650}}
|
| 248 |
+
.status{{font-size:12px;color:var(--muted);display:flex;gap:8px;align-items:center}}
|
| 249 |
+
.dot{{width:8px;height:8px;border-radius:50%;background:#555;box-shadow:0 0 0 6px rgba(255,255,255,.06)}}
|
| 250 |
+
.dot.online{{background:#22c55e;box-shadow:0 0 0 6px rgba(34,197,94,.12)}}
|
| 251 |
+
.dot.busy{{background:#60a5fa;box-shadow:0 0 0 6px rgba(96,165,250,.14)}}
|
| 252 |
+
.dot.degraded{{background:#f59e0b;box-shadow:0 0 0 6px rgba(245,158,11,.14)}}
|
| 253 |
+
main{{overflow-y:auto;padding:20px 18px}}
|
| 254 |
+
.chat{{max-width:980px;margin:0 auto}}
|
| 255 |
+
.msg{{display:flex;gap:12px;margin:12px 0}}
|
| 256 |
+
.avatar{{width:36px;height:36px;border-radius:10px;background:var(--panel);border:1px solid var(--border);display:grid;place-items:center;font-size:13px}}
|
| 257 |
+
.bubble{{padding:12px 14px;border-radius:var(--radius);background:var(--panel);border:1px solid var(--border);box-shadow:var(--shadow);font-size:14px;line-height:1.45;white-space:pre-wrap;overflow-wrap:anywhere}}
|
| 258 |
+
.me .bubble{{background:linear-gradient(180deg,rgba(59,130,246,.22),rgba(255,255,255,.06));border-color:rgba(59,130,246,.25)}}
|
| 259 |
+
footer{{padding:14px 18px 18px;border-top:1px solid var(--border);backdrop-filter:blur(14px);background:rgba(10,14,22,.6)}}
|
| 260 |
+
.composer{{max-width:980px;margin:0 auto;display:grid;grid-template-columns:1fr auto;gap:10px}}
|
| 261 |
+
textarea{{resize:none;min-height:44px;max-height:180px;padding:12px 14px;border-radius:16px;border:1px solid var(--border);background:var(--panel);color:var(--text);font-size:14px;outline:none}}
|
| 262 |
+
button{{height:44px;padding:0 16px;border-radius:16px;border:1px solid var(--border);background:rgba(255,255,255,.08);color:var(--text);font-weight:650;cursor:pointer}}
|
| 263 |
+
button:disabled{{opacity:.6}}
|
| 264 |
+
.hint{{max-width:980px;margin:10px auto 0;color:rgba(255,255,255,.55);font-size:12px}}
|
| 265 |
+
kbd{{font-family:ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;font-size:12px;padding:2px 6px;border-radius:8px;background:rgba(255,255,255,.08);border:1px solid rgba(255,255,255,.12)}}
|
| 266 |
+
</style>
|
| 267 |
+
</head>
|
| 268 |
+
<body>
|
| 269 |
+
<div class="app">
|
| 270 |
+
<header>
|
| 271 |
+
<div class="inner">
|
| 272 |
+
<h1>Private AI</h1>
|
| 273 |
+
<div class="status">
|
| 274 |
+
<span class="dot" id="dot"></span>
|
| 275 |
+
<span id="status">Connecting…</span>
|
| 276 |
+
</div>
|
| 277 |
+
</div>
|
| 278 |
+
</header>
|
| 279 |
+
|
| 280 |
+
<main><div class="chat" id="chat"></div></main>
|
| 281 |
+
|
| 282 |
+
<footer>
|
| 283 |
+
<div class="composer">
|
| 284 |
+
<textarea id="input" placeholder="Message Private AI…"></textarea>
|
| 285 |
+
<button id="send">Send</button>
|
| 286 |
+
</div>
|
| 287 |
+
<div class="hint" id="hint"></div>
|
| 288 |
+
</footer>
|
| 289 |
+
</div>
|
| 290 |
+
|
| 291 |
+
<script>
|
| 292 |
+
const chat = document.getElementById("chat");
|
| 293 |
+
const input = document.getElementById("input");
|
| 294 |
+
const sendBtn = document.getElementById("send");
|
| 295 |
+
const dot = document.getElementById("dot");
|
| 296 |
+
const statusEl = document.getElementById("status");
|
| 297 |
+
const hint = document.getElementById("hint");
|
| 298 |
+
|
| 299 |
+
let failCount = 0;
|
| 300 |
+
|
| 301 |
+
function setStatus(mode, txt) {{
|
| 302 |
+
dot.classList.remove("online","busy","degraded");
|
| 303 |
+
if (mode === "online") dot.classList.add("online");
|
| 304 |
+
if (mode === "busy") dot.classList.add("busy");
|
| 305 |
+
if (mode === "degraded") dot.classList.add("degraded");
|
| 306 |
+
statusEl.textContent = txt;
|
| 307 |
+
}}
|
| 308 |
+
|
| 309 |
+
function add(role, text) {{
|
| 310 |
+
const el = document.createElement("div");
|
| 311 |
+
el.className = "msg " + role;
|
| 312 |
+
el.innerHTML = `
|
| 313 |
+
<div class="avatar">${{role === "me" ? "You" : "AI"}}</div>
|
| 314 |
+
<div class="bubble"></div>
|
| 315 |
+
`;
|
| 316 |
+
el.querySelector(".bubble").textContent = text || "";
|
| 317 |
+
chat.appendChild(el);
|
| 318 |
+
chat.scrollTop = chat.scrollHeight;
|
| 319 |
+
return el;
|
| 320 |
+
}}
|
| 321 |
+
|
| 322 |
+
async function healthCheck() {{
|
| 323 |
+
try {{
|
| 324 |
+
const r = await fetch("/health", {{ cache: "no-store" }});
|
| 325 |
+
const d = await r.json();
|
| 326 |
+
if (!r.ok || !d.ok) throw new Error("unhealthy");
|
| 327 |
+
failCount = 0;
|
| 328 |
+
setStatus("online", "Online");
|
| 329 |
+
return true;
|
| 330 |
+
}} catch {{
|
| 331 |
+
failCount++;
|
| 332 |
+
setStatus("degraded", failCount >= 5 ? "Recovering…" : "Reconnecting…");
|
| 333 |
+
return false;
|
| 334 |
+
}}
|
| 335 |
+
}}
|
| 336 |
+
|
| 337 |
+
function getKey() {{
|
| 338 |
+
let k = localStorage.getItem("API_KEY");
|
| 339 |
+
if (!k) {{
|
| 340 |
+
k = prompt("Enter API key:");
|
| 341 |
+
if (k) localStorage.setItem("API_KEY", k);
|
| 342 |
+
}}
|
| 343 |
+
return k || "";
|
| 344 |
+
}}
|
| 345 |
+
|
| 346 |
+
async function sendStream(msg, bubbleEl) {{
|
| 347 |
+
const key = getKey();
|
| 348 |
+
const r = await fetch("/v1/chat/stream", {{
|
| 349 |
+
method: "POST",
|
| 350 |
+
headers: {{
|
| 351 |
+
"Authorization": "Bearer " + key,
|
| 352 |
+
"Content-Type": "application/json"
|
| 353 |
+
}},
|
| 354 |
+
body: JSON.stringify({{ prompt: msg }})
|
| 355 |
+
}});
|
| 356 |
+
|
| 357 |
+
if (!r.ok || !r.body) throw new Error("No stream");
|
| 358 |
+
|
| 359 |
+
const reader = r.body.getReader();
|
| 360 |
+
const decoder = new TextDecoder();
|
| 361 |
+
let buffer = "";
|
| 362 |
+
|
| 363 |
+
while (true) {{
|
| 364 |
+
const {{ value, done }} = await reader.read();
|
| 365 |
+
if (done) break;
|
| 366 |
+
|
| 367 |
+
buffer += decoder.decode(value, {{ stream: true }});
|
| 368 |
+
const parts = buffer.split("\\n\\n");
|
| 369 |
+
buffer = parts.pop() || "";
|
| 370 |
+
|
| 371 |
+
for (const part of parts) {{
|
| 372 |
+
const lines = part.split("\\n");
|
| 373 |
+
let event = "message";
|
| 374 |
+
let dataLine = "";
|
| 375 |
+
|
| 376 |
+
for (const line of lines) {{
|
| 377 |
+
if (line.startsWith("event:")) event = line.slice(6).trim();
|
| 378 |
+
if (line.startsWith("data:")) dataLine += line.slice(5).trim();
|
| 379 |
+
}}
|
| 380 |
+
|
| 381 |
+
if (!dataLine) continue;
|
| 382 |
+
const payload = JSON.parse(dataLine);
|
| 383 |
+
|
| 384 |
+
if (event === "error") {{
|
| 385 |
+
bubbleEl.textContent += "\\n\\n---\\nError:\\n" + (payload.error || "Unknown error");
|
| 386 |
+
setStatus("degraded", "Recovering…");
|
| 387 |
+
}} else if (event === "done") {{
|
| 388 |
+
setStatus("online", "Online");
|
| 389 |
+
}} else {{
|
| 390 |
+
bubbleEl.textContent += payload.delta || "";
|
| 391 |
+
}}
|
| 392 |
+
}}
|
| 393 |
+
}}
|
| 394 |
+
}}
|
| 395 |
+
|
| 396 |
+
async function send() {{
|
| 397 |
+
const msg = input.value.trim();
|
| 398 |
+
if (!msg) return;
|
| 399 |
+
|
| 400 |
+
input.value = "";
|
| 401 |
+
add("me", msg);
|
| 402 |
+
|
| 403 |
+
setStatus("busy", "Thinking…");
|
| 404 |
+
const aiMsg = add("ai", "");
|
| 405 |
+
const bubble = aiMsg.querySelector(".bubble");
|
| 406 |
+
sendBtn.disabled = true;
|
| 407 |
+
|
| 408 |
+
try {{
|
| 409 |
+
await sendStream(msg, bubble);
|
| 410 |
+
}} catch (e) {{
|
| 411 |
+
bubble.textContent =
|
| 412 |
+
"Temporary error. Try again in a moment.\\n\\nTip: verify your API key (stored in browser localStorage).";
|
| 413 |
+
setStatus("degraded", "Reconnecting…");
|
| 414 |
+
}} finally {{
|
| 415 |
+
sendBtn.disabled = false;
|
| 416 |
+
setTimeout(healthCheck, 800);
|
| 417 |
+
}}
|
| 418 |
+
}}
|
| 419 |
+
|
| 420 |
+
sendBtn.onclick = send;
|
| 421 |
+
input.addEventListener("keydown", (e) => {{
|
| 422 |
+
if (e.key === "Enter" && !e.shiftKey) {{
|
| 423 |
+
e.preventDefault();
|
| 424 |
+
send();
|
| 425 |
+
}}
|
| 426 |
+
}});
|
| 427 |
+
|
| 428 |
+
hint.innerHTML = "Press <kbd>Enter</kbd> to send, <kbd>Shift</kbd>+<kbd>Enter</kbd> for newline.";
|
| 429 |
+
add("ai", "Hey 👋 I’m ready when you are.");
|
| 430 |
+
healthCheck();
|
| 431 |
+
setInterval(healthCheck, 5000);
|
| 432 |
+
</script>
|
| 433 |
+
</body>
|
| 434 |
+
</html>
|
| 435 |
+
"""
|
| 436 |
+
|
| 437 |
+
# ----------------------------
|
| 438 |
+
# Streaming SSE endpoint
|
| 439 |
+
# ----------------------------
|
| 440 |
+
@app.post("/v1/chat/stream")
|
| 441 |
+
async def chat_stream(request: Request):
|
| 442 |
+
auth = request.headers.get("authorization", "")
|
| 443 |
+
if auth != f"Bearer {API_KEY}":
|
| 444 |
+
async def deny():
|
| 445 |
+
yield "event: error\ndata: " + json.dumps({"error": "403: Invalid API key"}) + "\n\n"
|
| 446 |
+
yield "event: done\ndata: {}\n\n"
|
| 447 |
+
return StreamingResponse(deny(), media_type="text/event-stream")
|
| 448 |
+
|
| 449 |
+
body = await request.json()
|
| 450 |
+
prompt = (body.get("prompt") or "").strip()
|
| 451 |
+
if not prompt:
|
| 452 |
+
async def empty():
|
| 453 |
+
yield "data: " + json.dumps({"delta": "Send a message and I’ll respond."}) + "\n\n"
|
| 454 |
+
yield "event: done\ndata: {}\n\n"
|
| 455 |
+
return StreamingResponse(empty(), media_type="text/event-stream")
|
| 456 |
+
|
| 457 |
+
async def event_gen():
|
| 458 |
+
async with GEN_SEM:
|
| 459 |
+
try:
|
| 460 |
+
if not ollama_healthy():
|
| 461 |
+
ensure_ollama_running()
|
| 462 |
+
wait_for_ollama(60)
|
| 463 |
+
|
| 464 |
+
r = requests.post(
|
| 465 |
+
f"{OLLAMA_BASE}/api/generate",
|
| 466 |
+
json={
|
| 467 |
+
"model": MODEL,
|
| 468 |
+
"system": SYSTEM_PROMPT,
|
| 469 |
+
"prompt": prompt,
|
| 470 |
+
"stream": True,
|
| 471 |
+
},
|
| 472 |
+
stream=True,
|
| 473 |
+
timeout=600,
|
| 474 |
+
)
|
| 475 |
+
|
| 476 |
+
if r.status_code != 200:
|
| 477 |
+
yield "event: error\ndata: " + json.dumps({"error": r.text[:2000]}) + "\n\n"
|
| 478 |
+
yield "event: done\ndata: {}\n\n"
|
| 479 |
+
return
|
| 480 |
+
|
| 481 |
+
for line in r.iter_lines(decode_unicode=True):
|
| 482 |
+
if not line:
|
| 483 |
+
continue
|
| 484 |
+
try:
|
| 485 |
+
obj = json.loads(line)
|
| 486 |
+
except Exception:
|
| 487 |
+
continue
|
| 488 |
+
|
| 489 |
+
delta = obj.get("response", "")
|
| 490 |
+
if delta:
|
| 491 |
+
yield "data: " + json.dumps({"delta": delta}) + "\n\n"
|
| 492 |
+
|
| 493 |
+
if obj.get("done"):
|
| 494 |
+
break
|
| 495 |
+
|
| 496 |
+
yield "event: done\ndata: {}\n\n"
|
| 497 |
+
|
| 498 |
+
except Exception as e:
|
| 499 |
+
yield "event: error\ndata: " + json.dumps({"error": str(e)}) + "\n\n"
|
| 500 |
+
yield "event: done\ndata: {}\n\n"
|
| 501 |
+
|
| 502 |
+
return StreamingResponse(event_gen(), media_type="text/event-stream")
|
| 503 |
+
|
| 504 |
+
# ----------------------------
|
| 505 |
+
# Non-stream fallback
|
| 506 |
+
# ----------------------------
|
| 507 |
+
@app.post("/v1/chat")
|
| 508 |
+
async def chat_api(request: Request):
|
| 509 |
+
auth = request.headers.get("authorization", "")
|
| 510 |
+
if auth != f"Bearer {API_KEY}":
|
| 511 |
+
return JSONResponse({"response": "", "error": "403: Invalid API key"}, status_code=200)
|
| 512 |
+
|
| 513 |
+
body = await request.json()
|
| 514 |
+
prompt = (body.get("prompt") or "").strip()
|
| 515 |
+
if not prompt:
|
| 516 |
+
return {"response": "Send a message and I’ll respond.", "error": None}
|
| 517 |
+
|
| 518 |
+
async with GEN_SEM:
|
| 519 |
+
text, err = generate_with_recovery(prompt, attempts=3)
|
| 520 |
+
return {"response": text, "error": err}
|