upload NK server code

SERVER_CODE/websocket_server.py

@@ -0,0 +1,37 @@
+import asyncio
+import websockets
+import cnn_classifier
+import donwlink_message
+import numpy as np
+from scipy.io import wavfile
+
+server_classifier=None
+server_ip="192.168.1.71"
+server_port=8765
+model_struct = 'model_mukcso_batch256.json'
+model_weights = "best_model_mukcso_batch256.h5"
+
+def background(f):
+    def wrapped(*args, **kwargs):
+        return asyncio.get_event_loop().run_in_executor(None, f, *args, *kwargs)
+    return wrapped
+
+async def service(websocket, path):
+    buf = await websocket.recv()
+    decoded = np.frombuffer(buf, dtype=np.int16) 
+    print("Wav arrived!")
+    wavfile.write("arrived.wav", 44100, decoded.astype(np.int16))
+    await websocket.send("Wav arrived to Server.")
+    prediction=server_classifier.predict("arrived.wav")
+    if prediction[0] == 'sturnus':
+        alert()
+@background
+def alert():
+    donwlink_message.send_to_device("RequestAlert")
+
+def start_websocket_server():
+    global server_classifier
+    server_classifier = cnn_classifier.classifier(model_struct,model_weights)
+    start_server = websockets.serve(service, server_ip, server_port)
+    asyncio.get_event_loop().run_until_complete(start_server)
+    asyncio.get_event_loop().run_forever()