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Update app.py
Browse files
app.py
CHANGED
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@@ -4,43 +4,19 @@ from fastapi.middleware.cors import CORSMiddleware
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import json
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import os
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from datetime import datetime, date
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import requests
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# =============================================================================
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app = FastAPI(
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title="ZenkaMind AI",
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version="1.0.0",
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description="Sade AI Model - Gerçek Yanıtlar"
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)
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# CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# =============================================================================
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# CONFIG
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# =============================================================================
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DB_PATH = "users.json"
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DAILY_LIMIT = 100
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HF_TOKEN = os.getenv("HF_TOKEN", "")
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MODEL_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"
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# =============================================================================
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# DATABASE
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# =============================================================================
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def load_db():
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try:
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if os.path.exists(DB_PATH):
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with open(DB_PATH, "r") as f:
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return json.load(f)
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except:
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return {}
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def save_db(data):
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@@ -50,68 +26,13 @@ def save_db(data):
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except:
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pass
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# =============================================================================
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# AI GENERATOR - SADECE MODEL
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# =============================================================================
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def get_ai_response(message):
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"""Gerçek AI modelinden yanıt al"""
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if not HF_TOKEN:
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return None
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try:
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# Sade prompt
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prompt = f"""Sen ZenkaMind AI'sın. Türkçe konuşan bir yapay zeka asistanısın.
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Kullanıcı: {message}
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Sen:"""
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response = requests.post(
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MODEL_URL,
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headers={"Authorization": f"Bearer {HF_TOKEN}"},
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json={
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"inputs": prompt,
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"parameters": {
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"max_new_tokens": 300,
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"temperature": 0.7,
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"do_sample": True
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}
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},
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timeout=20
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)
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if response.status_code == 200:
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result = response.json()
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if isinstance(result, list) and len(result) > 0:
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text = result[0].get('generated_text', '').strip()
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if text:
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# Sadece AI'nın yanıtını al
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if "Sen:" in text:
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text = text.split("Sen:", 1)[1].strip()
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return text
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return None
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except Exception as e:
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print(f"AI Error: {e}")
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return None
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# =============================================================================
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# ENDPOINTS - SADE
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# =============================================================================
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@app.get("/")
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return {
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"service": "ZenkaMind AI",
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"ai": "Mistral-7B",
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"status": "running" if HF_TOKEN else "no_token"
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}
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@app.get("/health")
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return {
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"status": "ok",
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"ai_available": bool(HF_TOKEN),
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"timestamp": datetime.now().isoformat()
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}
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@app.post("/api/chat")
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async def chat(request: Request):
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@@ -126,7 +47,6 @@ async def chat(request: Request):
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if not message:
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return JSONResponse(400, {"error": "Message required"})
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# Database
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db = load_db()
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if email not in db:
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user = db[email]
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# Reset check
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if user["last_reset"] != date.today().isoformat():
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user["count"] = 0
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user["last_reset"] = date.today().isoformat()
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if user["count"] >= DAILY_LIMIT:
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return JSONResponse(429, {"error": "Daily limit reached"})
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ai_response = get_ai_response(message)
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if not ai_response:
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return JSONResponse(503, {
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"error": "AI model not available",
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"tip": "Check HF_TOKEN in settings"
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})
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# Update user
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user["count"] += 1
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user["total"] += 1
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save_db(db)
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# Response
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return {
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"response": ai_response,
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"
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"
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}
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except Exception as e:
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return JSONResponse(500, {"error": str(e)})
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@app.get("/api/stats")
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db = load_db()
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total = sum(u.get("total", 0) for u in db.values())
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return {
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"users": len(db),
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"
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"
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"token_set": bool(HF_TOKEN)
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}
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import json
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import os
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from datetime import datetime, date
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app = FastAPI(title="ZenkaMind", version="1.0")
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app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
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DB_PATH = "users.json"
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def load_db():
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try:
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if os.path.exists(DB_PATH):
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with open(DB_PATH, "r") as f:
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return json.load(f)
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except:
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return {}
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return {}
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def save_db(data):
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except:
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pass
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@app.get("/")
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def home():
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return {"status": "running", "service": "ZenkaMind"}
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@app.get("/health")
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def health():
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return {"status": "healthy", "time": datetime.now().isoformat()}
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@app.post("/api/chat")
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async def chat(request: Request):
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if not message:
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return JSONResponse(400, {"error": "Message required"})
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db = load_db()
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if email not in db:
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user = db[email]
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if user["last_reset"] != date.today().isoformat():
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user["count"] = 0
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user["last_reset"] = date.today().isoformat()
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if user["count"] >= 100:
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return JSONResponse(429, {"error": "Daily limit reached"})
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ai_response = f"AI: '{message}' hakkında düşünüyorum..."
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user["count"] += 1
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user["total"] += 1
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save_db(db)
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return {
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"response": ai_response,
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"status": "success",
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"remaining": 100 - user["count"]
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}
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except Exception as e:
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return JSONResponse(500, {"error": str(e)})
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@app.get("/api/stats")
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def stats():
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db = load_db()
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return {
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"users": len(db),
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"total_messages": sum(u.get("total", 0) for u in db.values()),
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"status": "ok"
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}
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