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from flask import request, jsonify, Blueprint
import numpy as np
from deepface import DeepFace
from PIL import Image
import pprint
DeepFace.analyze(
detector_backend='fastmtcnn',
img_path='./download.jpeg', actions=["emotion"])
predicts = Blueprint("predicts", __name__)
ALLOWED_EXTENSIONS = {"png", "jpg", "jpeg"}
def allowed_file(filename):
return "." in filename and filename.rsplit(".", 1)[1].lower() in ALLOWED_EXTENSIONS
@predicts.route("/", methods=["POST"], strict_slashes=False)
def upload_file():
print('predicting')
try:
if "file" not in request.files:
raise ValueError("File not found in the request.")
file = request.files["file"]
if file.filename == "":
raise ValueError("Empty filename in the request.")
if file and allowed_file(file.filename):
objs = DeepFace.analyze(
detector_backend='fastmtcnn',
img_path=np.array(Image.open(file)), actions=["emotion"]
)
# pprint.pp(objs)
return jsonify(objs), 200
else:
raise ValueError("Invalid file type.")
except Exception as e:
print(e)
return f"Error processing file: {str(e)}", 500
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