7755d2be64
Features: - Character-Bogen: Aussehen-Sektion mit Stil, Geschlecht, Alter, Größe, Statur, Haarfarbe, Frisur, Augenfarbe, Haut, Kleidung, Merkmale - Stil-Optionen: Anime, Realistisch, Comic, Cartoon, Pixel Art - ComfyUI Prompt wird aus appearance-Objekt gebaut - Portrait-Button: Async mit Polling (kein Timeout mehr) - Portrait-Button: 5-Minuten Timeout als Fallback - Poll-Errors werden ignoriert (kein vorzeitiger Abbruch) - Mara.json aktualisiert mit appearance-Objekt
541 lines
21 KiB
Python
541 lines
21 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
NeonChat v2.1 — Lokaler RP Chatbot mit Ollama
|
|
Features: Streaming, Session-Passcodes, Multi-Device, Langzeitgedächtnis
|
|
"""
|
|
|
|
import json, os, time, asyncio, sqlite3, re, secrets, hashlib
|
|
from pathlib import Path
|
|
from datetime import datetime
|
|
|
|
import httpx
|
|
from fastapi import FastAPI, Request, UploadFile, File, HTTPException, Response, Cookie, Query
|
|
from fastapi.responses import HTMLResponse, JSONResponse, RedirectResponse, StreamingResponse
|
|
from fastapi.staticfiles import StaticFiles
|
|
from fastapi.templating import Jinja2Templates
|
|
from pydantic import BaseModel
|
|
|
|
from comfyui_integration import is_comfyui_running, generate_portrait
|
|
|
|
# === Konfiguration ===
|
|
BASE_DIR = Path(__file__).parent
|
|
CHARACTERS_DIR = BASE_DIR / "characters"
|
|
DATA_DIR = BASE_DIR / "data"
|
|
DB_PATH = DATA_DIR / "memory.db"
|
|
OLLAMA_URL = os.environ.get("OLLAMA_URL", "http://localhost:11434")
|
|
DEFAULT_MODEL = os.environ.get("OLLAMA_MODEL", "gemma4:12b")
|
|
SESSION_COOKIE_NAME = "neonchat_session"
|
|
SESSION_DURATION = 60 * 60 * 24 * 365 # 1 Jahr
|
|
|
|
# === Datenbank ===
|
|
def init_db():
|
|
DATA_DIR.mkdir(exist_ok=True)
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
conn.executescript("""
|
|
CREATE TABLE IF NOT EXISTS messages (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
session_id TEXT NOT NULL,
|
|
character TEXT NOT NULL,
|
|
role TEXT NOT NULL,
|
|
content TEXT NOT NULL,
|
|
timestamp REAL NOT NULL,
|
|
summary TEXT
|
|
);
|
|
CREATE TABLE IF NOT EXISTS summaries (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
session_id TEXT NOT NULL,
|
|
character TEXT NOT NULL,
|
|
summary TEXT NOT NULL,
|
|
timestamp REAL NOT NULL
|
|
);
|
|
CREATE TABLE IF NOT EXISTS sessions (
|
|
id TEXT PRIMARY KEY,
|
|
passcode TEXT NOT NULL,
|
|
created REAL NOT NULL,
|
|
name TEXT DEFAULT ''
|
|
);
|
|
CREATE INDEX IF NOT EXISTS idx_messages_session ON messages(session_id, character, timestamp);
|
|
CREATE INDEX IF NOT EXISTS idx_summaries_session ON summaries(session_id, character, timestamp);
|
|
""")
|
|
conn.commit()
|
|
conn.close()
|
|
|
|
init_db()
|
|
|
|
# === Session Management ===
|
|
def generate_passcode() -> str:
|
|
"""6-stelliger alphanumerischer Code."""
|
|
return secrets.token_hex(3).upper() # z.B. A3F2B1
|
|
|
|
def get_or_create_session(session_id: str = None) -> tuple:
|
|
"""Gibt (session_id, passcode) zurück. Erstellt neue Session falls nötig."""
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
if session_id:
|
|
cur = conn.execute("SELECT id, passcode FROM sessions WHERE id = ?", (session_id,))
|
|
row = cur.fetchone()
|
|
if row:
|
|
conn.close()
|
|
return row[0], row[1]
|
|
# Create new session
|
|
new_id = secrets.token_hex(16)
|
|
passcode = generate_passcode()
|
|
conn.execute("INSERT INTO sessions (id, passcode, created) VALUES (?, ?, ?)", (new_id, passcode, time.time()))
|
|
conn.commit()
|
|
conn.close()
|
|
return new_id, passcode
|
|
|
|
def get_session_by_passcode(passcode: str) -> str:
|
|
"""Findet Session-ID anhand eines Passcodes."""
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute("SELECT id FROM sessions WHERE passcode = ?", (passcode.upper(),))
|
|
row = cur.fetchone()
|
|
conn.close()
|
|
return row[0] if row else None
|
|
|
|
# === Character Loading ===
|
|
def load_character(name: str) -> dict:
|
|
path = CHARACTERS_DIR / f"{name}.json"
|
|
if not path.exists():
|
|
path = CHARACTERS_DIR / f"{name.lower()}.json"
|
|
if not path.exists():
|
|
for f in CHARACTERS_DIR.glob("*.json"):
|
|
if f.stem.lower() == name.lower():
|
|
path = f
|
|
break
|
|
if not path.exists():
|
|
raise HTTPException(status_code=404, detail=f"Character {name} not found")
|
|
with open(path, "r", encoding="utf-8") as f:
|
|
return json.load(f)
|
|
|
|
def list_characters() -> list:
|
|
chars = []
|
|
for f in CHARACTERS_DIR.glob("*.json"):
|
|
with open(f, "r", encoding="utf-8") as fh:
|
|
data = json.load(fh)
|
|
chars.append({
|
|
"name": data.get("name", f.stem),
|
|
"filename": f.stem,
|
|
"avatar": data.get("avatar", "👤"),
|
|
"description": data.get("description", ""),
|
|
"greeting": data.get("greeting", ""),
|
|
})
|
|
return chars
|
|
|
|
# === Memory System (Session-basiert) ===
|
|
def get_short_term_memory(session_id: str, character: str, limit: int = 20) -> list:
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute(
|
|
"SELECT role, content FROM messages WHERE session_id = ? AND character = ? ORDER BY timestamp DESC LIMIT ?",
|
|
(session_id, character, limit)
|
|
)
|
|
rows = cur.fetchall()
|
|
conn.close()
|
|
return [{"role": r[0], "content": r[1]} for r in reversed(rows)]
|
|
|
|
def get_full_history(session_id: str, character: str, limit: int = 200) -> list:
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute(
|
|
"SELECT role, content, timestamp FROM messages WHERE session_id = ? AND character = ? ORDER BY timestamp ASC LIMIT ?",
|
|
(session_id, character, limit)
|
|
)
|
|
rows = cur.fetchall()
|
|
conn.close()
|
|
return [{"role": r[0], "content": r[1], "timestamp": r[2]} for r in rows]
|
|
|
|
def get_long_term_memory(session_id: str, character: str) -> str:
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute(
|
|
"SELECT summary FROM summaries WHERE session_id = ? AND character = ? ORDER BY timestamp DESC LIMIT 3",
|
|
(session_id, character)
|
|
)
|
|
rows = cur.fetchall()
|
|
conn.close()
|
|
if not rows:
|
|
return ""
|
|
return "\n\n".join([r[0] for r in rows])
|
|
|
|
def save_message(session_id: str, character: str, role: str, content: str):
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
conn.execute(
|
|
"INSERT INTO messages (session_id, character, role, content, timestamp) VALUES (?, ?, ?, ?, ?)",
|
|
(session_id, character, role, content, time.time())
|
|
)
|
|
conn.commit()
|
|
conn.close()
|
|
|
|
def needs_summary(session_id: str, character: str) -> bool:
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute(
|
|
"SELECT COUNT(*) FROM messages WHERE session_id = ? AND character = ? AND summary IS NULL",
|
|
(session_id, character)
|
|
)
|
|
count = cur.fetchone()[0]
|
|
conn.close()
|
|
return count >= 20
|
|
|
|
async def generate_summary(session_id: str, character: str):
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
cur = conn.execute(
|
|
"SELECT id, role, content FROM messages WHERE session_id = ? AND character = ? AND summary IS NULL ORDER BY timestamp ASC LIMIT 20",
|
|
(session_id, character)
|
|
)
|
|
rows = cur.fetchall()
|
|
if not rows:
|
|
conn.close()
|
|
return
|
|
|
|
chat_text = "\n".join([f"{'Du' if r[1] == 'user' else character}: {r[2]}" for r in rows])
|
|
|
|
prompt = f"""Fasse das folgende Gespräch kurz zusammen. Konzentriere dich auf:
|
|
- Wichtige Fakten über den Nutzer
|
|
- Beziehungen und Emotionen
|
|
- Wichtige Ereignisse
|
|
- Charakterzüge die gezeigt wurden
|
|
|
|
Gespräch:
|
|
{chat_text}
|
|
|
|
Zusammenfassung (auf Deutsch, kurz):"""
|
|
|
|
try:
|
|
async with httpx.AsyncClient(timeout=60) as client:
|
|
resp = await client.post(f"{OLLAMA_URL}/api/generate", json={
|
|
"model": DEFAULT_MODEL,
|
|
"prompt": prompt,
|
|
"stream": False,
|
|
"think": False,
|
|
"options": {"temperature": 0.3, "num_predict": 300}
|
|
})
|
|
summary = resp.json().get("response", "").strip()
|
|
except:
|
|
summary = "Zusammenfassung nicht verfügbar."
|
|
|
|
if not summary:
|
|
summary = "Zusammenfassung nicht verfügbar."
|
|
|
|
conn.execute(
|
|
"INSERT INTO summaries (session_id, character, summary, timestamp) VALUES (?, ?, ?, ?)",
|
|
(session_id, character, summary, time.time())
|
|
)
|
|
for r in rows:
|
|
conn.execute("UPDATE messages SET summary = ? WHERE id = ?", (summary, r[0]))
|
|
conn.commit()
|
|
conn.close()
|
|
|
|
def clear_memory(session_id: str, character: str):
|
|
conn = sqlite3.connect(str(DB_PATH))
|
|
conn.execute("DELETE FROM messages WHERE session_id = ? AND character = ?", (session_id, character))
|
|
conn.execute("DELETE FROM summaries WHERE session_id = ? AND character = ?", (session_id, character))
|
|
conn.commit()
|
|
conn.close()
|
|
|
|
# === Prompt Builder ===
|
|
def build_prompt(character: dict, short_term: list, long_term: str, user_message: str) -> list:
|
|
name = character.get("name", "AI")
|
|
personality = character.get("personality", "")
|
|
background = character.get("background", "")
|
|
behavior = character.get("behavior", "")
|
|
tone = character.get("tone", "")
|
|
nsfw = character.get("nsfw", "")
|
|
scenario = character.get("scenario", "")
|
|
|
|
system = f"""Du bist {name}. Antworte IMMER auf Deutsch.
|
|
|
|
PERSÖNLICHKEIT: {personality}
|
|
|
|
HINTERGRUND: {background}
|
|
|
|
VERHALTEN: {behavior}
|
|
|
|
SPRACHSTIL: {tone}
|
|
|
|
{f'SZENARIO: {scenario}' if scenario else ''}
|
|
|
|
{f'NSFW/SOZIALE REGELN: {nsfw}' if nsfw else ''}
|
|
|
|
REGELN:
|
|
- Bleibe immer in der Rolle von {name}
|
|
- Antworte natürlich und umgangssprachlich
|
|
- Verwende keine Formulierungen wie "als KI" oder "als Sprachmodell"
|
|
- Reagiere emotional angemessen
|
|
- Sei nicht übermäßig freundlich — bleibe authentisch
|
|
- Verwende deutsche Umgangssprache wo passend
|
|
- Wiederhole dich nicht — variiere deine Ausdrücke
|
|
- Wenn der Nutzer etwas sagt das du schon weißt (aus Erinnerungen), beziehe dich darauf"""
|
|
|
|
if long_term:
|
|
system += f"\n\nERINNERUNGEN (Langzeitgedächtnis):\n{long_term}"
|
|
|
|
messages = [{"role": "system", "content": system}]
|
|
for msg in short_term:
|
|
if msg["role"] == "user":
|
|
messages.append({"role": "user", "content": msg["content"]})
|
|
else:
|
|
messages.append({"role": "assistant", "content": msg["content"]})
|
|
messages.append({"role": "user", "content": user_message})
|
|
|
|
return messages
|
|
|
|
# === FastAPI ===
|
|
app = FastAPI(title="NeonChat")
|
|
templates = Jinja2Templates(directory=str(BASE_DIR / "templates"))
|
|
app.mount("/static", StaticFiles(directory=str(BASE_DIR / "static")), name="static")
|
|
|
|
def set_session_cookie(response, sid: str):
|
|
response.set_cookie(SESSION_COOKIE_NAME, sid, max_age=SESSION_DURATION, httponly=False, samesite="lax")
|
|
|
|
@app.get("/", response_class=HTMLResponse)
|
|
async def index(request: Request, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, passcode = get_or_create_session(session_id)
|
|
chars = list_characters()
|
|
response = templates.TemplateResponse(request, "index.html", {"characters": chars, "passcode": passcode})
|
|
if not session_id or session_id != sid:
|
|
set_session_cookie(response, sid)
|
|
return response
|
|
|
|
@app.get("/create", response_class=HTMLResponse)
|
|
async def create_page(request: Request):
|
|
return templates.TemplateResponse(request, "create.html", {})
|
|
|
|
@app.get("/chat/{character_name}", response_class=HTMLResponse)
|
|
async def chat_page(request: Request, character_name: str, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, passcode = get_or_create_session(session_id)
|
|
char = load_character(character_name)
|
|
history = get_full_history(sid, character_name, limit=200)
|
|
long_term = get_long_term_memory(sid, character_name)
|
|
response = templates.TemplateResponse(request, "chat.html", {
|
|
"character": char,
|
|
"history": history,
|
|
"long_term": long_term,
|
|
"session_id": sid,
|
|
"passcode": passcode,
|
|
})
|
|
if not session_id or session_id != sid:
|
|
set_session_cookie(response, sid)
|
|
return response
|
|
|
|
@app.get("/join", response_class=HTMLResponse)
|
|
async def join_page(request: Request):
|
|
"""Passcode-Eingabe-Seite für andere Geräte."""
|
|
return templates.TemplateResponse(request, "join.html", {})
|
|
|
|
@app.post("/api/session/join")
|
|
async def api_join_session(request: Request):
|
|
"""Verbindet ein anderes Gerät mit einer bestehenden Session via Passcode."""
|
|
body = await request.json()
|
|
passcode = body.get("passcode", "").strip().upper()
|
|
if not passcode:
|
|
return JSONResponse({"error": "Passcode erforderlich"}, status_code=400)
|
|
|
|
sid = get_session_by_passcode(passcode)
|
|
if not sid:
|
|
return JSONResponse({"error": "Ungültiger Passcode"}, status_code=404)
|
|
|
|
response = JSONResponse({"status": "ok", "session_id": sid})
|
|
set_session_cookie(response, sid)
|
|
return response
|
|
|
|
@app.get("/api/session/info")
|
|
async def api_session_info(session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
"""Gibt Session-Info und Passcode zurück."""
|
|
sid, passcode = get_or_create_session(session_id)
|
|
return JSONResponse({"session_id": sid, "passcode": passcode})
|
|
|
|
@app.post("/api/chat/{character_name}")
|
|
async def chat_api(character_name: str, request: Request, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, _ = get_or_create_session(session_id)
|
|
char = load_character(character_name)
|
|
body = await request.json()
|
|
user_message = body.get("message", "")
|
|
stream = body.get("stream", True)
|
|
|
|
if not user_message.strip():
|
|
return JSONResponse({"error": "Leere Nachricht"}, status_code=400)
|
|
|
|
save_message(sid, character_name, "user", user_message)
|
|
|
|
short_term = get_short_term_memory(sid, character_name, limit=20)
|
|
long_term = get_long_term_memory(sid, character_name)
|
|
messages = build_prompt(char, short_term, long_term, user_message)
|
|
|
|
model = char.get("model") or DEFAULT_MODEL
|
|
|
|
if stream:
|
|
async def stream_response():
|
|
full_response = ""
|
|
try:
|
|
async with httpx.AsyncClient(timeout=300) as client:
|
|
async with client.stream("POST", f"{OLLAMA_URL}/api/chat", json={
|
|
"model": model,
|
|
"messages": messages,
|
|
"stream": True,
|
|
"think": False,
|
|
"options": {
|
|
"temperature": char.get("temperature", 0.8),
|
|
"top_p": 0.9,
|
|
"num_predict": 800,
|
|
"repeat_penalty": 1.1,
|
|
}
|
|
}) as resp:
|
|
async for line in resp.aiter_lines():
|
|
if not line.strip():
|
|
continue
|
|
try:
|
|
chunk = json.loads(line)
|
|
content = chunk.get("message", {}).get("content", "")
|
|
if content:
|
|
full_response += content
|
|
yield f"data: {json.dumps({'token': content})}\n\n"
|
|
if chunk.get("done"):
|
|
break
|
|
except json.JSONDecodeError:
|
|
continue
|
|
except Exception as e:
|
|
full_response = f"*(Fehler: {e})*"
|
|
yield f"data: {json.dumps({'token': full_response})}\n\n"
|
|
|
|
if full_response.strip():
|
|
save_message(sid, character_name, "assistant", full_response.strip())
|
|
|
|
if needs_summary(sid, character_name):
|
|
asyncio.create_task(generate_summary(sid, character_name))
|
|
|
|
yield f"data: {json.dumps({'done': True})}\n\n"
|
|
|
|
return StreamingResponse(stream_response(), media_type="text/event-stream")
|
|
else:
|
|
try:
|
|
async with httpx.AsyncClient(timeout=300) as client:
|
|
resp = await client.post(f"{OLLAMA_URL}/api/chat", json={
|
|
"model": model,
|
|
"messages": messages,
|
|
"stream": False,
|
|
"think": False,
|
|
"options": {
|
|
"temperature": char.get("temperature", 0.8),
|
|
"top_p": 0.9,
|
|
"num_predict": 800,
|
|
"repeat_penalty": 1.1,
|
|
}
|
|
})
|
|
data = resp.json()
|
|
response_text = data.get("message", {}).get("content", "").strip()
|
|
except Exception as e:
|
|
response_text = f"*(Fehler: {e})*"
|
|
|
|
save_message(sid, character_name, "assistant", response_text)
|
|
|
|
if needs_summary(sid, character_name):
|
|
asyncio.create_task(generate_summary(sid, character_name))
|
|
|
|
return JSONResponse({"response": response_text, "character": character_name})
|
|
|
|
@app.get("/api/characters")
|
|
async def api_list_characters():
|
|
return JSONResponse({"characters": list_characters()})
|
|
|
|
@app.post("/api/character/create")
|
|
async def api_create_character(request: Request):
|
|
body = await request.json()
|
|
name = body.get("name", "unnamed")
|
|
safe_name = re.sub(r'[^a-zA-Z0-9_\-]', '_', name.lower())
|
|
path = CHARACTERS_DIR / f"{safe_name}.json"
|
|
|
|
char = {
|
|
"name": name,
|
|
"avatar": body.get("avatar", "👤"),
|
|
"description": body.get("description", ""),
|
|
"personality": body.get("personality", ""),
|
|
"background": body.get("background", ""),
|
|
"behavior": body.get("behavior", ""),
|
|
"tone": body.get("tone", ""),
|
|
"scenario": body.get("scenario", ""),
|
|
"nsfw": body.get("nsfw", ""),
|
|
"greeting": body.get("greeting", ""),
|
|
"model": body.get("model", ""),
|
|
"temperature": body.get("temperature", 0.8),
|
|
"appearance": body.get("appearance", {}),
|
|
}
|
|
|
|
with open(path, "w", encoding="utf-8") as f:
|
|
json.dump(char, f, indent=2, ensure_ascii=False)
|
|
|
|
return JSONResponse({"status": "ok", "character": safe_name})
|
|
|
|
@app.get("/api/character/{name}")
|
|
async def api_get_character(name: str):
|
|
char = load_character(name)
|
|
return JSONResponse(char)
|
|
|
|
@app.post("/api/memory/clear/{character_name}")
|
|
async def api_clear_memory(character_name: str, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, _ = get_or_create_session(session_id)
|
|
clear_memory(sid, character_name)
|
|
return JSONResponse({"status": "ok"})
|
|
|
|
@app.get("/api/memory/{character_name}")
|
|
async def api_get_memory(character_name: str, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, _ = get_or_create_session(session_id)
|
|
short = get_short_term_memory(sid, character_name, limit=100)
|
|
long = get_long_term_memory(sid, character_name)
|
|
return JSONResponse({"short_term": short, "long_term": long})
|
|
|
|
@app.get("/api/history/{character_name}")
|
|
async def api_get_history(character_name: str, session_id: str = Cookie(None, alias=SESSION_COOKIE_NAME)):
|
|
sid, _ = get_or_create_session(session_id)
|
|
history = get_full_history(sid, character_name, limit=200)
|
|
return JSONResponse({"history": history, "session_id": sid})
|
|
|
|
@app.get("/api/models")
|
|
async def api_list_models():
|
|
try:
|
|
async with httpx.AsyncClient() as client:
|
|
resp = await client.get(f"{OLLAMA_URL}/api/tags")
|
|
models = [m["name"] for m in resp.json().get("models", [])]
|
|
return JSONResponse({"models": models})
|
|
except:
|
|
return JSONResponse({"models": [], "error": "Ollama nicht erreichbar"})
|
|
|
|
@app.get("/api/comfyui/status")
|
|
async def api_comfyui_status():
|
|
return JSONResponse({"running": is_comfyui_running()})
|
|
|
|
# In-memory tracking for portrait generation
|
|
_portrait_jobs = {}
|
|
|
|
@app.post("/api/character/{name}/portrait")
|
|
async def api_generate_portrait(name: str, request: Request):
|
|
"""Startet Portrait-Generierung — gibt sofort eine Job-ID zurück."""
|
|
char = load_character(name)
|
|
|
|
if not is_comfyui_running():
|
|
return JSONResponse({"error": "ComfyUI läuft nicht. Starte ComfyUI zuerst."}, status_code=503)
|
|
|
|
body = await request.json() if request.headers.get("content-type") == "application/json" else {}
|
|
custom_prompt = body.get("prompt", "")
|
|
|
|
import uuid
|
|
job_id = str(uuid.uuid4())[:8]
|
|
_portrait_jobs[job_id] = {"status": "generating", "image": None, "error": None}
|
|
|
|
async def run_generation():
|
|
image_path = generate_portrait(name, char, custom_prompt)
|
|
if image_path:
|
|
_portrait_jobs[job_id] = {"status": "done", "image": image_path, "error": None}
|
|
else:
|
|
_portrait_jobs[job_id] = {"status": "error", "image": None, "error": "Generierung fehlgeschlagen"}
|
|
|
|
asyncio.create_task(run_generation())
|
|
|
|
return JSONResponse({"status": "started", "job_id": job_id})
|
|
|
|
@app.get("/api/portrait/status/{job_id}")
|
|
async def api_portrait_status(job_id: str):
|
|
"""Fragt den Status einer Portrait-Generierung ab."""
|
|
if job_id not in _portrait_jobs:
|
|
return JSONResponse({"status": "not_found"}, status_code=404)
|
|
return JSONResponse(_portrait_jobs[job_id])
|
|
|
|
if __name__ == "__main__":
|
|
import uvicorn
|
|
uvicorn.run(app, host="0.0.0.0", port=5252) |