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src/__init__.py

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+from flask import Flask
+from flask_cors import CORS
+from src.router.routes import api
+
+app = Flask(__name__, template_folder="./templates")
+app.secret_key = "oOUP0oHOQKHnmZHbXT8IxQ99Ml4Q2ZMv"
+cors = CORS(app, resources={r"/api/*": {"origins": "*"}})
+
+app.register_blueprint(api, url_prefix="/api")
+
+def create_app():
+    return app

src/controllers/predict_controller.py

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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

src/router/routes.py

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+from flask import Blueprint
+from src.controllers.predict_controller import predicts
+
+api = Blueprint("api", __name__)
+api.register_blueprint(predicts, url_prefix="/predicts")