implement analyze/ route for post requests

main.py

@@ -0,0 +1,45 @@
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from contextlib import asynccontextmanager
+from dotenv import load_dotenv
+from routers import analyze_router
+from ml.model_predictor import _download_and_cache
+
+load_dotenv()
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # Runs once when the Space starts — downloads + caches all 3 models
+    print("Startup: downloading models from HF Hub...")
+    _download_and_cache()
+    print("Startup complete. API is ready.")
+    yield
+    # Shutdown cleanup (optional)
+    print("Shutting down.")
+
+app = FastAPI(
+    title="Parkinson's disease prediction API",
+    lifespan=lifespan,
+)
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.include_router(analyze_router.router)
+
+@app.get("/")
+def read_root():
+    return {"message": "Parkinson's disease prediction API"}
+
+@app.get("/health")
+def health():
+    from ml.model_predictor import _cache
+    return {
+        "status": "ok",
+        "models_loaded": bool(_cache)
+    }

schema/patient_inputs.py

@@ -0,0 +1,14 @@
+from pydantic import BaseModel, Field
+from typing import Optional
+
+class Patient(BaseModel):
+    id: Optional[int] = None
+    name: str
+
+class BasicInfo(BaseModel):
+    age: int = Field(..., gt=10, lt=120)
+    sex: str = Field(..., example="male")
+    test_time: float
+
+# Note: The /analyze/voice endpoint currently accepts raw multipart form fields
+# rather than a JSON body, so these models are used as reference schemas only.