Update theme/app.py
Browse files- theme/app.py +65 -64
theme/app.py
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import os
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import requests
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse, HTMLResponse
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from fastapi.templating import Jinja2Templates
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@@ -8,13 +9,13 @@ from fastapi.templating import Jinja2Templates
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# APP INIT
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# =========================
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app = FastAPI(title="PyRunner Agent OS", version="3.
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BASE_DIR =
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templates = Jinja2Templates(directory=
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# =========================
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#
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# =========================
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OLLAMA_URL = os.getenv("OLLAMA_URL", "http://localhost:11434")
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@@ -26,11 +27,11 @@ MODELS = {
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"fallback": os.getenv("OLLAMA_BACKUP_MODEL", "llama3.2:1b")
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}
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TIMEOUT =
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# =========================
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#
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# =========================
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def call_ollama(prompt: str, model: str):
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if r.status_code != 200:
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return {
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"error": f"Ollama error {r.status_code}",
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"raw": r.text
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}
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data = r.json()
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# normalize output
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return {
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"response": data.get("response", "").strip(),
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"raw": data
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@@ -67,27 +64,30 @@ def call_ollama(prompt: str, model: str):
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# CLEAN OUTPUT PARSER
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# =========================
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def
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if not text:
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return "general"
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# =========================
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# ORCHESTRATOR
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# =========================
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def
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prompt = f"""
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You are an AI classifier.
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code
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vision
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hairstyle
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general
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{user_input}
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"""
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res = call_ollama(prompt, MODELS["orchestrator"])
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if "response" in res:
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return
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return "general"
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# AGENTS
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# =========================
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def
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return call_ollama(prompt, MODELS["coder"])
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def
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return call_ollama(
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f"Fashion analysis:\n{prompt}",
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MODELS["fast"]
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)
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def
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return call_ollama(
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f"Hairstyle analysis:\n{prompt}",
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MODELS["fast"]
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)
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def
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return call_ollama(prompt, MODELS["fallback"])
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# ROUTER
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# =========================
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def
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if category == "code":
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return
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if category == "fashion":
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return
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if category == "hairstyle":
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return
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return
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# =========================
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@app.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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# =========================
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@app.post("/api/agent")
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async def agent(request: Request):
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# =========================
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# IMAGE PIPELINE
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# =========================
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@app.post("/api/image")
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async def
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return {
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"status": "queued",
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"pipeline": "vision_stub"
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import os
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import requests
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from pathlib import Path
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from fastapi import FastAPI, Request
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from fastapi.responses import JSONResponse, HTMLResponse
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from fastapi.templating import Jinja2Templates
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# APP INIT
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# =========================
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app = FastAPI(title="PyRunner Agent OS", version="3.2")
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BASE_DIR = Path(__file__).resolve().parent
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templates = Jinja2Templates(directory=str(BASE_DIR / "templates"))
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# =========================
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# CONFIG
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# =========================
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OLLAMA_URL = os.getenv("OLLAMA_URL", "http://localhost:11434")
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"fallback": os.getenv("OLLAMA_BACKUP_MODEL", "llama3.2:1b")
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}
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TIMEOUT = 90
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# =========================
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# OLLAMA CORE CALL (SAFE)
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# =========================
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def call_ollama(prompt: str, model: str):
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)
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if r.status_code != 200:
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return {"error": f"Ollama HTTP {r.status_code}", "raw": r.text}
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data = r.json()
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return {
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"response": data.get("response", "").strip(),
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"raw": data
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# CLEAN OUTPUT PARSER
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# =========================
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def clean_category(text: str) -> str:
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if not text:
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return "general"
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text = text.lower().strip()
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# force valid categories only
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valid = ["code", "vision", "fashion", "hairstyle", "general"]
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for v in valid:
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if v in text:
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return v
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return "general"
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# =========================
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# ORCHESTRATOR
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# =========================
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def orchestrator(user_input: str):
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prompt = f"""
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Classify into ONE word only:
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code
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vision
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hairstyle
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general
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Input:
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{user_input}
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"""
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res = call_ollama(prompt, MODELS["orchestrator"])
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if "response" in res:
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return clean_category(res["response"])
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return "general"
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# AGENTS
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# =========================
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def coder(prompt):
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return call_ollama(prompt, MODELS["coder"])
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def fashion(prompt):
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return call_ollama(f"Fashion analysis:\n{prompt}", MODELS["fast"])
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def hairstyle(prompt):
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return call_ollama(f"Hairstyle analysis:\n{prompt}", MODELS["fast"])
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def fallback(prompt):
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return call_ollama(prompt, MODELS["fallback"])
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# ROUTER
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# =========================
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def route(category: str, prompt: str):
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if category == "code":
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return coder(prompt)
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if category == "fashion":
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return fashion(prompt)
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if category == "hairstyle":
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return hairstyle(prompt)
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return fallback(prompt)
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# =========================
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@app.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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try:
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return templates.TemplateResponse(
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"index.html",
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{"request": request}
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)
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except Exception as e:
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return HTMLResponse(f"<h1>Template Error</h1><pre>{e}</pre>")
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# =========================
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@app.post("/api/agent")
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async def agent(request: Request):
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try:
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body = await request.json()
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prompt = body.get("prompt", "")
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if not prompt:
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return JSONResponse(
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{"error": "missing prompt"},
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status_code=400
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)
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category = orchestrator(prompt)
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result = route(category, prompt)
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if isinstance(result, dict) and "error" in result:
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result = fallback(prompt)
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return {
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"category": category,
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"result": result.get("response", result)
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}
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except Exception as e:
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return JSONResponse(
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{"error": str(e)},
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status_code=500
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)
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# =========================
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# IMAGE PIPELINE (STABLE STUB)
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# =========================
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@app.post("/api/image")
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async def image(request: Request):
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return {
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"status": "queued",
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"pipeline": "vision_stub"
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