Update app.py

app.py

@@ -5,10 +5,14 @@ import collections
 import scipy.signal
 import numpy as np
 from functools import partial
+
 from openwakeword.model import Model
 
 # Load openWakeWord models
-model = Model(inference_framework="onnx")
+model = Model(
+    inference_framework="onnx",
+    wakeword_models=["borah_da.onnx"],  # can also leave this argument empty to load all of the included pre-trained models
+)
 
 # Define function to process audio
 def process_audio(audio, state=collections.defaultdict(partial(collections.deque, maxlen=60))):
@@ -70,12 +74,7 @@ you should see a spike in the score for a given model after speaking a related w
 
 | Model Name | Word/Phrase |
 | --- | --- |
-| alexa | "alexa" |
-| hey_mycroft | "hey mycroft"|
-| hey_jarvis | "hey jarvis"|
-| hey_rhasspy | "hey rhasspy"|
-| weather | "what's the weather", "tell me today's weather" |
-| x_minute_timer | "set a timer for 1 minute", "create 1 hour alarm" |
+| bora da | "bora da" |
 
 """