Error While creating and using custom wake word

Hi,

I installed EfficientWord-Net in Python 3.9 environment on windows laptop.

There have been few issues during installation which got resolved as mentioned below (for your information):

======================Installation=======================================================
Installed in venv: (env_p39)
This env was created with Python 3.9 uisng the command:
conda create -n env_p39 python=3.9

To overcome the PyAudio issue when "pip install EfficientWord-Net" is issued,
PyAudio was installed using the following commands:
- pip install pipwin
- pipwin install pyaudio

import eff_word_net reported a tflite_runtime missing.
This got fixed when following command is issued:
python -m eff_word_net.engine

====================================================================================

After installation, the following default wakeword code worked without errors:


Now, I got down to create a custom wakeword 'eye_square'.

### **Issue1:**
I was able to create the reference json file when I used --model-type first_iteration_siamese
The created reference json file is attached below for reference:
[eye_square_ref.json](https://github.com/Ant-Brain/EfficientWord-Net/files/14986563/eye_square_ref.json)

But when I was trying to use the same in the code, I run into an error saying model file missing.

`import os
from eff_word_net.streams import SimpleMicStream
from eff_word_net.engine import HotwordDetector

from eff_word_net.audio_processing import First_Iteration_Siamese, ModelRawBackend, Resnet50_Arc_loss

from eff_word_net import samples_loc

#base_model = baseModel()

mycroft_hw = HotwordDetector(
hotword="eye_square",
reference_file=os.path.join(samples_loc, "eye_square_ref.json"),
threshold=0.7,
relaxation_time=2
)

mic_stream = SimpleMicStream(
window_length_secs=1.5,
sliding_window_secs=0.75,
)

mic_stream.start_stream()

print("Say Mycroft ")
while True :
frame = mic_stream.getFrame()
result = mycroft_hw.scoreFrame(frame)
if result==None :
#no voice activity
continue
if(result["match"]):
print("Wakeword uttered",result["confidence"])`

**The error I get is :**

runfile('C:/Users/rpratapa/Documents/Code Base/SW/audio-similarity-main/audio_similarity/untitled0.py', wdir='C:/Users/rpratapa/Documents/Code Base/SW/audio-similarity-main/audio_similarity')
Traceback (most recent call last):

File ~\anaconda3\envs\env_p39\lib\site-packages\spyder_kernels\py3compat.py:356 in compat_exec
exec(code, globals, locals)

File c:\users\rpratapa\documents\code base\sw\audio-similarity-main\audio_similarity\untitled0.py:18
mycroft_hw = HotwordDetector(

TypeError: __init__() missing 1 required positional argument: 'model'

### **Issue 2:**
When I try to create the custom wakeword reference json using --model-type **resnet_50_arc**, i get **AssertionError** as captured in the screenshot below:

### **Questions:**

1. Due to the above two issues, I am not able to create custom wakeword and use it on windows laptop. I am hoping that I get some help from you on both these issues and get successful in running the custom wakeword on my windows laptop
2. I see that the **resnet_50_arc** may require about ~90 MB RAM. Do you think this I will be able to run these wakewords on Raspberry Pi zero? Alternatively, can we generate customwake word using 'first_iteration_siamese' and be able to run it on the Pi Zero as this model apparently requires less RAM? Please clarify.

Thanks!!

### **Update:**
I could resolve **Issue1** with the following **edits**:

**from eff_word_net.audio_processing import First_Iteration_Siamese, ModelRawBackend, Resnet50_Arc_loss**

**base_model = First_Iteration_Siamese()**

print('cwd: ', os.getcwd())
mycroft_hw = HotwordDetector(
hotword="eye-square",
**model = base_model,**
reference_file=os.path.join(samples_loc, "eye-square_ref.json"),
threshold=0.7,
relaxation_time=2
)

**Issue2 & Question2 remain to be addressed.**