Instructions to use amogaddy/GenerAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amogaddy/GenerAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="amogaddy/GenerAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amogaddy/GenerAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use amogaddy/GenerAI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "amogaddy/GenerAI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/amogaddy/GenerAI
- SGLang
How to use amogaddy/GenerAI with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "amogaddy/GenerAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "amogaddy/GenerAI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amogaddy/GenerAI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use amogaddy/GenerAI with Docker Model Runner:
docker model run hf.co/amogaddy/GenerAI
File size: 16,364 Bytes
01c9829 57fadb3 01c9829 57fadb3 01c9829 57fadb3 01c9829 57fadb3 01c9829 57fadb3 01c9829 b1a33c2 01c9829 57fadb3 01c9829 b1a33c2 01c9829 b1a33c2 01c9829 b1a33c2 01c9829 b1a33c2 01c9829 57fadb3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 | from fastapi import FastAPI, HTTPException
from fastapi.responses import StreamingResponse, HTMLResponse, Response
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
import uvicorn
import asyncio
import json
from brain import Brain
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_methods=["*"],
allow_headers=["*"],
)
brain: Brain | None = None
BASE = "https://amogaddy-generai.hf.space"
# ββ Shared layout ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def page(title: str, content: str, active: str = "") -> str:
nav_items = [
("/", "π ", "Home"),
("/chat", "π¬", "Chat"),
("/commands", "β‘", "Comandi"),
("/docs", "π", "API Docs"),
]
nav_html = "".join(
f'<a href="{href}" class="nav-item{" active" if href == active else ""}">{icon} {label}</a>'
for href, icon, label in nav_items
)
return f"""<!DOCTYPE html>
<html lang="it">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>GenerAI β {title}</title>
<style>
*{{box-sizing:border-box;margin:0;padding:0}}
body{{font-family:'Segoe UI',sans-serif;background:#0f1117;color:#e0e0e0;min-height:100vh}}
nav{{background:#13151f;border-bottom:1px solid #2a2d3e;display:flex;align-items:center;padding:0 24px;height:52px;gap:4px}}
nav .logo{{color:#7c9ef8;font-weight:700;font-size:18px;margin-right:20px}}
.nav-item{{color:#aaa;text-decoration:none;padding:6px 14px;border-radius:6px;font-size:14px;transition:.15s}}
.nav-item:hover{{background:#2a2d3e;color:#e0e0e0}}
.nav-item.active{{background:#7c9ef8;color:#000;font-weight:600}}
.content{{padding:32px;max-width:900px;margin:0 auto}}
h1{{color:#7c9ef8;margin-bottom:8px}}
.sub{{color:#888;margin-bottom:24px;font-size:14px}}
.card{{background:#1e2130;border-radius:10px;padding:20px;margin-bottom:16px}}
.card h2{{color:#a0c4ff;font-size:15px;margin-bottom:12px;border-left:3px solid #7c9ef8;padding-left:10px}}
.badge{{display:inline-block;padding:3px 10px;border-radius:12px;font-size:12px;font-weight:600}}
.badge.green{{background:#1a3a2a;color:#3cb371;border:1px solid #3cb371}}
.badge.red{{background:#3a1a1a;color:#e05555;border:1px solid #e05555}}
.badge.blue{{background:#1a2a3a;color:#7c9ef8;border:1px solid #7c9ef8}}
.btn{{display:inline-block;padding:8px 18px;border-radius:7px;text-decoration:none;font-size:13px;cursor:pointer;border:none;font-family:inherit}}
.btn-primary{{background:#7c9ef8;color:#000;font-weight:600}}
.btn-secondary{{background:#2a2d3e;color:#e0e0e0;border:1px solid #444}}
.btn:hover{{opacity:.85}}
input,textarea{{background:#13151f;border:1px solid #2a2d3e;color:#e0e0e0;border-radius:6px;padding:10px 12px;font-family:monospace;font-size:13px;width:100%}}
input:focus,textarea:focus{{outline:none;border-color:#7c9ef8}}
.cmd-text{{font-family:monospace;font-size:13px;background:#13151f;padding:10px 12px;border-radius:6px;word-break:break-all;color:#c8f0a0}}
.tab{{font-size:12px;padding:3px 10px;border-radius:4px;cursor:pointer;border:1px solid #444;background:#2a2d3e;color:#aaa}}
.tab.active{{background:#7c9ef8;color:#000;border-color:#7c9ef8}}
.copy-btn{{padding:5px 14px;background:#2a2d3e;border:1px solid #444;border-radius:5px;color:#aaa;cursor:pointer;font-size:12px;margin-top:8px}}
.copy-btn:hover{{background:#7c9ef8;color:#000}}
.copy-btn.copied{{background:#3cb371;color:#fff}}
table{{width:100%;border-collapse:collapse;font-size:13px}}
th{{color:#888;font-weight:500;padding:8px 12px;text-align:left;border-bottom:1px solid #2a2d3e}}
td{{padding:8px 12px;border-bottom:1px solid #1e2130}}
tr:hover td{{background:#1e2130}}
</style>
</head>
<body>
<nav>
<span class="logo">β‘ GenerAI</span>
{nav_html}
</nav>
<div class="content">
{content}
</div>
</body></html>"""
# ββ Home βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/", response_class=HTMLResponse)
async def home():
kb = brain.kb_size if brain else 0
status = "Online" if brain else "Avvio..."
badge = "green" if brain else "red"
content = f"""
<h1>GenerAI</h1>
<p class="sub">Assistente AI in italiano con memoria locale e ricerca web.</p>
<div class="card">
<h2>Stato sistema</h2>
<table>
<tr><th>Componente</th><th>Stato</th><th>Info</th></tr>
<tr><td>AI Brain</td><td><span class="badge {badge}">{status}</span></td><td>KB + Web search</td></tr>
<tr><td>Knowledge Base</td><td><span class="badge green">Online</span></td><td>{kb} documenti in memoria</td></tr>
<tr><td>Ricerca Web</td><td><span class="badge blue">Chromium</span></td><td>Browser headless (Playwright)</td></tr>
</table>
</div>
<div class="card">
<h2>Accesso rapido</h2>
<div style="display:flex;gap:10px;flex-wrap:wrap">
<a href="/chat" class="btn btn-primary">π¬ Chat</a>
<a href="/commands" class="btn btn-secondary">β‘ Comandi terminale</a>
<a href="/docs" class="btn btn-secondary">π API Docs</a>
</div>
</div>
"""
return HTMLResponse(page("Home", content, "/"))
# ββ Chat βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/chat", response_class=HTMLResponse)
def chat_page():
content = f"""
<h1>π¬ Chat</h1>
<p class="sub">Fai una domanda alla AI β vedrai i passaggi in tempo reale.</p>
<div class="card">
<textarea id="inp" rows="3" placeholder="Scrivi una domanda..."></textarea>
<div style="display:flex;gap:10px;margin-top:10px">
<button class="btn btn-primary" onclick="ask()">Invia</button>
<button class="btn btn-secondary" onclick="clear_()">Pulisci</button>
</div>
</div>
<div class="card" id="out-card" style="display:none">
<h2>Risposta</h2>
<div id="steps" style="font-size:13px;color:#888;margin-bottom:12px"></div>
<div id="result" style="white-space:pre-wrap;line-height:1.6"></div>
<div id="status-badge" style="margin-top:10px"></div>
</div>
<script>
function ask() {{
const q = document.getElementById('inp').value.trim();
if (!q) return;
document.getElementById('out-card').style.display = 'block';
document.getElementById('steps').innerHTML = '';
document.getElementById('result').innerHTML = '<span style="color:#888">...</span>';
document.getElementById('status-badge').innerHTML = '';
fetch('{BASE}/ask/stream', {{
method: 'POST',
headers: {{'Content-Type': 'application/json'}},
body: JSON.stringify({{prompt: q}})
}}).then(r => {{
const reader = r.body.getReader();
const dec = new TextDecoder();
function read() {{
reader.read().then(({{{{'done': done, 'value': value}}}}) => {{
if (done) return;
dec.decode(value).split('\\n').forEach(line => {{
if (!line.startsWith('data:')) return;
const d = JSON.parse(line.slice(5));
if (d.type === 'status') {{
document.getElementById('steps').innerHTML += d.message + '<br>';
}} else if (d.type === 'result') {{
document.getElementById('result').innerText = d.message;
const colors = {{local:'#3cb371', searched:'#7c9ef8', llm:'#f0a000', unknown:'#e05555', error:'#e05555'}};
const c = colors[d.status] || '#aaa';
document.getElementById('status-badge').innerHTML =
`<span class="badge" style="background:#1a1a2a;color:${{c}};border:1px solid ${{c}}">${{d.status}}</span>`;
}}
}});
read();
}});
}}
read();
}});
}}
function clear_() {{
document.getElementById('inp').value = '';
document.getElementById('out-card').style.display = 'none';
}}
document.getElementById('inp').addEventListener('keydown', e => {{
if (e.key === 'Enter' && e.ctrlKey) ask();
}});
</script>
"""
return HTMLResponse(page("Chat", content, "/chat"))
# ββ Comandi ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/commands", response_class=HTMLResponse)
def commands_page():
def cmd_block(bid, label, ps, cmd):
return f"""<div class="card" id="{bid}">
<div style="font-size:12px;color:#888;margin-bottom:8px">{label}</div>
<div style="display:flex;gap:6px;margin-bottom:8px">
<span class="tab active" id="{bid}-tab-ps" onclick="setTab('{bid}','ps')">PowerShell</span>
<span class="tab" id="{bid}-tab-cmd" onclick="setTab('{bid}','cmd')">CMD</span>
</div>
<div id="{bid}-ps" class="cmd-text">{ps}</div>
<div id="{bid}-cmd" class="cmd-text" style="display:none">{cmd}</div>
<div style="display:flex;gap:8px">
<button class="copy-btn" id="{bid}-btn-ps" onclick="copy('{bid}','ps')">Copia</button>
<button class="copy-btn" id="{bid}-btn-cmd" onclick="copy('{bid}','cmd')" style="display:none">Copia</button>
</div>
</div>"""
blocks = {
"Stato AI": [
cmd_block("b0","Controlla che la AI sia online",
f'Invoke-RestMethod "{BASE}/"',
f'curl "{BASE}/"'),
],
"Chat": [
cmd_block("b1","Domanda (risposta completa)",
f'Invoke-RestMethod -Uri "{BASE}/ask" -Method POST -ContentType "application/json" -Body \'{"prompt":"chi e napoleone?"}\' | ConvertTo-Json',
f'curl -s -X POST "{BASE}/ask" -H "Content-Type: application/json" -d "{{\\"prompt\\":\\"chi e napoleone?\\"}}"'),
cmd_block("b2","Domanda in streaming (tempo reale)",
f'curl -N -X POST "{BASE}/ask/stream" -H "Content-Type: application/json" -d "{{\\"prompt\\":\\"chi e napoleone?\\"}}"',
f'curl -N -X POST "{BASE}/ask/stream" -H "Content-Type: application/json" -d "{{\\"prompt\\":\\"chi e napoleone?\\"}}"'),
],
"Feedback": [
cmd_block("b6","Risposta utile",
f'Invoke-RestMethod -Uri "{BASE}/feedback?positive=true" -Method POST',
f'curl -X POST "{BASE}/feedback?positive=true"'),
cmd_block("b7","Risposta non utile",
f'Invoke-RestMethod -Uri "{BASE}/feedback?positive=false" -Method POST',
f'curl -X POST "{BASE}/feedback?positive=false"'),
],
}
sections_html = ""
for section, items in blocks.items():
icon = {"Stato AI":"π’","Chat":"π¬","Feedback":"π"}.get(section,"")
sections_html += f'<div style="margin-bottom:28px"><h2 style="color:#a0c4ff;font-size:15px;margin-bottom:12px;border-left:3px solid #7c9ef8;padding-left:10px">{icon} {section}</h2>{"".join(items)}</div>'
content = f"""
<h1>β‘ Comandi terminale</h1>
<p class="sub">Scegli PowerShell o CMD, copia il comando. Oppure scarica lo script completo.</p>
<div style="display:flex;gap:10px;margin-bottom:28px;flex-wrap:wrap">
<a href="/scripts/powershell" download="generai.ps1" class="btn btn-primary">β¬ generai.ps1</a>
<a href="/scripts/batch" download="generai.bat" class="btn btn-secondary">β¬ generai.bat</a>
</div>
{sections_html}
<script>
function setTab(id, tab) {{
['ps','cmd'].forEach(t => {{
document.getElementById(id+'-'+t).style.display = t===tab?'block':'none';
document.getElementById(id+'-btn-'+t).style.display = t===tab?'inline-block':'none';
document.getElementById(id+'-tab-'+t).classList.toggle('active', t===tab);
}});
}}
function copy(id, tab) {{
navigator.clipboard.writeText(document.getElementById(id+'-'+tab).innerText);
const btn = document.getElementById(id+'-btn-'+tab);
btn.innerText='Copiato!'; btn.classList.add('copied');
setTimeout(()=>{{btn.innerText='Copia';btn.classList.remove('copied')}}, 1500);
}}
</script>
"""
return HTMLResponse(page("Comandi", content, "/commands"))
# ββ Script downloads βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@app.get("/scripts/powershell")
def script_ps():
script = f"""# GenerAI β Script PowerShell | .\generai.ps1
$BASE = "{BASE}"
function Ask($d) {{
$r = Invoke-RestMethod -Uri "$BASE/ask" -Method POST -ContentType "application/json" -Body (@{{prompt=$d}}|ConvertTo-Json)
Write-Host "`n[$($r.status)]" -ForegroundColor Cyan; Write-Host $r.result
}}
function AskStream($d) {{
curl -s -N -X POST "$BASE/ask/stream" -H "Content-Type: application/json" -d (@{{prompt=$d}}|ConvertTo-Json -Compress)
}}
function Stato {{ Invoke-RestMethod "$BASE/" | ConvertTo-Json }}
function Feedback($p) {{
Invoke-RestMethod -Uri "$BASE/feedback?positive=$p" -Method POST | Out-Null
Write-Host "Feedback inviato!" -ForegroundColor Green
}}
while ($true) {{
Write-Host "`n===== GENERAI =====" -ForegroundColor Magenta
Write-Host "1. Domanda 2. Streaming 3. Stato 4/5. Feedback 0. Esci"
switch (Read-Host "Scelta") {{
"1" {{ Ask (Read-Host "Domanda") }}
"2" {{ AskStream (Read-Host "Domanda") }}
"3" {{ Stato }}
"4" {{ Feedback "true" }}
"5" {{ Feedback "false" }}
"0" {{ exit }}
default {{ Write-Host "Scelta non valida" -ForegroundColor Red }}
}}
}}
"""
return Response(content=script, media_type="text/plain",
headers={"Content-Disposition": "attachment; filename=generai.ps1"})
@app.get("/scripts/batch")
def script_bat():
script = f"""@echo off
chcp 65001 >nul
set BASE={BASE}
:menu
echo.
echo ===== GENERAI =====
echo 1.Domanda 2.Streaming 3.Stato 0.Esci
set /p s=Scelta:
if "%s%"=="1" (set /p d=Domanda: & curl -s -X POST "%BASE%/ask" -H "Content-Type: application/json" -d "{{\\"prompt\\":\\"%d%\\"}}" & echo.) & goto menu
if "%s%"=="2" (set /p d=Domanda: & curl -N -X POST "%BASE%/ask/stream" -H "Content-Type: application/json" -d "{{\\"prompt\\":\\"%d%\\"}}" & echo.) & goto menu
if "%s%"=="3" (curl -s "%BASE%/" & echo.) & goto menu
if "%s%"=="0" exit /b
goto menu
"""
return Response(content=script, media_type="text/plain",
headers={"Content-Disposition": "attachment; filename=generai.bat"})
# ββ API endpoints ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class AskRequest(BaseModel):
prompt: str
@app.post("/ask")
async def ask(req: AskRequest):
if not brain:
raise HTTPException(status_code=503, detail="Brain non ancora pronto")
answer, status = await brain.ask(req.prompt)
return {"result": answer, "status": status}
@app.post("/ask/stream")
async def ask_stream(req: AskRequest):
if not brain:
raise HTTPException(status_code=503, detail="Brain non ancora pronto")
async def generate():
queue: asyncio.Queue = asyncio.Queue()
async def on_status(msg: str):
await queue.put(("status", msg))
async def run():
answer, status = await brain.ask(req.prompt, on_status=on_status)
await queue.put(("result", answer, status))
task = asyncio.create_task(run())
while True:
item = await queue.get()
if item[0] == "status":
yield f"data: {json.dumps({'type':'status','message':item[1]})}\n\n"
elif item[0] == "result":
yield f"data: {json.dumps({'type':'result','message':item[1],'status':item[2]})}\n\n"
break
await task
return StreamingResponse(generate(), media_type="text/event-stream")
@app.post("/feedback")
def feedback(positive: bool):
if brain:
brain.give_feedback(positive)
return {"ok": True}
@app.on_event("startup")
async def startup():
global brain
brain = Brain()
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=7860)
|