File size: 2,277 Bytes
bf04727
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7004388
8aba1e2
a304e30
9a86182
bf04727
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
57f6343
bf04727
 
 
 
57f6343
 
 
 
 
 
 
 
 
 
 
bf04727
 
 
 
 
 
 
7004388
8aba1e2
a304e30
9a86182
bf04727
 
 
 
 
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
"""
FastAPI application entry point for InnerVoice backend.
"""
import os
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from dotenv import load_dotenv

load_dotenv()

from models.database import init_db
from routes.analyze import router as analyze_router
from routes.entries import router as entries_router
from routes.trends import router as trends_router
from routes.alerts import router as alerts_router
from routes.chat import router as chat_router
from routes.auth import router as auth_router
from routes.weekly_report import router as weekly_report_router
from routes.prompts import router as prompts_router
from routes.trusted_circle import router as trusted_circle_router

app = FastAPI(
    title="InnerVoice API",
    description="AI-powered emotional wellness tracker backend",
    version="1.0.0",
)

# CORS
origins = os.getenv("CORS_ORIGINS", "http://localhost:3000").split(",")
app.add_middleware(
    CORSMiddleware,
    allow_origins=origins,
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Init DB & Preload Models on startup
@app.on_event("startup")
def startup():
    init_db()
    print("[InnerVoice] Database initialized.")
    
    # Pre-load AI models to prevent latency during the first user request
    from services.text_emotion import _load_model as load_text_model
    from services.emotion_analyzer import _load_model as load_audio_model
    from services.transcriber import _load_model as load_whisper
    
    print("[InnerVoice] Preloading AI models (Wav2Vec2, RoBERTa, Whisper)...")
    load_text_model()
    load_audio_model()
    load_whisper()
    print("[InnerVoice] All models loaded and cached!")

# Register routers
app.include_router(analyze_router, prefix="/api")
app.include_router(entries_router, prefix="/api")
app.include_router(trends_router, prefix="/api")
app.include_router(alerts_router, prefix="/api")
app.include_router(chat_router, prefix="/api")
app.include_router(auth_router, prefix="/api")
app.include_router(weekly_report_router, prefix="/api")
app.include_router(prompts_router, prefix="/api")
app.include_router(trusted_circle_router, prefix="/api")


@app.get("/api/health")
def health():
    return {"status": "ok", "service": "InnerVoice API"}