Basic server for demo, database manager wip

dbmanager.py

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+from flask_sqlalchemy import SQLAlchemy

server.py

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+from flask import Flask, request, jsonify
+import os
+from pyplatex import ANPR
+import torch
+from ultralytics.nn.tasks import DetectionModel
+import asyncio
+
+torch.serialization.add_safe_globals({"DetectionModel": DetectionModel})
+
+# Web Server
+app = Flask(__name__)
+
+# Saving images locally
+UPLOAD_FOLDER = "uploads"
+os.makedirs(UPLOAD_FOLDER, exist_ok=True)
+
+
+# Default app route
+@app.route("/")
+def home():
+    return "Hello, World!"
+
+
+# API to process vehicle
+@app.route("/api", methods=["POST"])
+def data():
+    # Check if image is present
+    if "image" not in request.files:
+        return jsonify({"error": "No file part"}), 400
+
+    file = request.files["image"]  # get the image from the packet
+
+    if file.filename == "" or not file.filename:
+        return jsonify({"error": "No selected file"}), 400
+
+    # Check if image ends in .jpg
+    if file.filename.lower().endswith(".jpg"):
+        filepath = os.path.join(UPLOAD_FOLDER, file.filename)
+        file.save(filepath)
+        print(asyncio.run(process_image(filepath)))
+        return jsonify(
+            {
+                "message": "File uploaded successfully",
+                "filename": file.filename,
+                "status": True,
+            }
+        )
+
+    return jsonify({"error": "Only JPEG files allowed"}), 400
+
+
+async def process_image(file: str):
+    anpr = ANPR()
+    plates = await anpr.detect(file)
+    return plates
+
+
+if __name__ == "__main__":
+    app.run(host="192.168.137.1", port=2222, debug=True)