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| from app.emotion_detector import detect_emotion | |
| from app.response_generator import generate_support_message | |
| from fastapi import FastAPI | |
| from pydantic import BaseModel | |
| from fastapi.responses import RedirectResponse | |
| app = FastAPI( | |
| name="Moodmate API", | |
| version="1.0.0", | |
| title="Moodmate API", | |
| description="Emotion-aware NLP microservice for mental wellness support.", | |
| ) | |
| # -------- Request Schemas -------- | |
| class EmotionRequest(BaseModel): | |
| text: str | |
| class SupportRequest(BaseModel): | |
| text: str | |
| emotion: str | |
| # -------- Endpoints -------- | |
| def root(): | |
| return RedirectResponse(url="/docs") | |
| def analyze_emotion(request: EmotionRequest): | |
| emotion = detect_emotion(request.text) | |
| return {"emotion": emotion} | |
| def generate_support(request: SupportRequest): | |
| message = generate_support_message(request.text, request.emotion) | |
| return {"support_message": message} | |
| def health_check(): | |
| return {"status": "MoodMate API is running"} | |
| def analyze_and_support(request: EmotionRequest): | |
| emotion = detect_emotion(request.text) | |
| message = generate_support_message(request.text, emotion) | |
| return {"emotion": emotion, "support_message": message} | |
| # -------- End of File -------- | |