from deepface import DeepFace
from fastapi import FastAPI
from pydantic import BaseModel
from typing import Optional
# objs = DeepFace.analyze(img_path = "data/1.jpg", 
#         actions = ['age', 'gender', 'race', 'emotion']
# )
# print(objs)
# objs = DeepFace.analyze(img_path = "data/2.jpg", 
#         actions = ['age', 'gender', 'race', 'emotion']
# )
# print(objs)
# objs = DeepFace.analyze(img_path = "data/3.jpg", 
#         actions = ['age', 'gender', 'race', 'emotion']
# )
# print(objs)
# objs = DeepFace.analyze(img_path = "data/4.jpg", 
#         actions = ['age', 'gender', 'race', 'emotion']
# )
# print(objs)

# print(objs)

class Response(BaseModel):
    path: str
    actions : Optional[list] = ['age', 'gender', 'race', 'emotion']
app = FastAPI()
@app.get("/")
def read_main():
    return {"message": "This is your main app"}
@app.post("/faces/")
def calculate_api(response: Response):
    path = response.path
    actions = response.actions
    objs = DeepFace.analyze(img_path =path, 
        actions = actions)
    return objs