.gitignore

@@ -7,6 +7,7 @@ __pycache__/
 
 # Custom
 model_small/
+model_large/
 
 # C extensions
 *.so

Jarvis.py

@@ -3,6 +3,8 @@ import os
 import struct
 import time
 
+import noisereduce as nr
+import numpy as np
 import pvporcupine
 import vosk
 import yaml
@@ -23,7 +25,7 @@ class Jarvis:
             keywords=['jarvis'],
             sensitivities=[1]
         )
-        self.kaldi_rec = vosk.KaldiRecognizer(vosk.Model("model_small"), 32000)
+        self.kaldi_rec = vosk.KaldiRecognizer(vosk.Model("model_large"), 16000)
 
     def main(self):
         self.recorder = PvRecorder(
@@ -37,7 +39,12 @@ class Jarvis:
         while True:
             try:
                 pcm = self.recorder.read()
-                if self.porcupine.process(pcm) >= 0:
+                reduced_audio = nr.reduce_noise(
+                    y=np.frombuffer(pcm, dtype=np.int16),
+                    sr=16000,
+                    prop_decrease=0.6
+                )
+                if self.porcupine.process(reduced_audio) >= 0:
                     self.recorder.stop()
                     self.play("greet", True)
                     self.recorder.start()

poetry.lock

@@ -30,6 +30,20 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
+[[package]]
+name = "audioread"
+version = "3.0.1"
+description = "Multi-library, cross-platform audio decoding."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "audioread-3.0.1-py3-none-any.whl", hash = "sha256:4cdce70b8adc0da0a3c9e0d85fb10b3ace30fbdf8d1670fd443929b61d117c33"},
+    {file = "audioread-3.0.1.tar.gz", hash = "sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d"},
+]
+
+[package.extras]
+test = ["tox"]
+
 [[package]]
 name = "certifi"
 version = "2024.2.2"
@@ -226,6 +240,95 @@ files = [
     {file = "comtypes-1.4.1.zip", hash = "sha256:4379443876465c6015fe801d6665b7c75d9ed5b169deee0161a00637f4ebbd2e"},
 ]
 
+[[package]]
+name = "contourpy"
+version = "1.2.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "contourpy-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bd7c23df857d488f418439686d3b10ae2fbf9bc256cd045b37a8c16575ea1040"},
+    {file = "contourpy-1.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5b9eb0ca724a241683c9685a484da9d35c872fd42756574a7cfbf58af26677fd"},
+    {file = "contourpy-1.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c75507d0a55378240f781599c30e7776674dbaf883a46d1c90f37e563453480"},
+    {file = "contourpy-1.2.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11959f0ce4a6f7b76ec578576a0b61a28bdc0696194b6347ba3f1c53827178b9"},
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+]
+
+[package.dependencies]
+numpy = ">=1.20"
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
+
+[[package]]
+name = "cycler"
+version = "0.12.1"
+description = "Composable style cycles"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
+]
+
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "filelock"
 version = "3.13.4"
@@ -242,6 +345,71 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
+[[package]]
+name = "fonttools"
+version = "4.51.0"
+description = "Tools to manipulate font files"
+optional = false
+python-versions = ">=3.8"
+files = [
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+python-dateutil = ">=2.7"
+
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 name = "mdurl"
 version = "0.1.2"
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 gmpy = ["gmpy2 (>=2.1.0a4)"]
 tests = ["pytest (>=4.6)"]
 
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 [[package]]
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 version = "3.3"
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
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+
+[package.extras]
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+
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 [[package]]
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 version = "1.0.4"
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 numpy = ["NumPy"]
 
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+    {file = "soxr-0.3.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1cd65dc7b96ea3cb6c8c48e6020e859680556cc42dd3d4de44779530cce21037"},
+    {file = "soxr-0.3.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d994f1a7690b1b13ab639ea33e0c1d78415b64d88d6df4af705a9443f97b9687"},
+    {file = "soxr-0.3.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e87b58bc9e8c2caa16f07726f666bd043f0a49ca937baa803ce7708003b27833"},
+    {file = "soxr-0.3.7-cp38-cp38-win_amd64.whl", hash = "sha256:07f4c0c6125ea1482fa187ad5f007216712ee0a93586a9b2f80e79c0bf944cf7"},
+    {file = "soxr-0.3.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e5267c3ba34d4b873d9bbe3a9e58418b01ae4fd04349a4f944d9943b9ddac0f7"},
+    {file = "soxr-0.3.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6e39668c250e221db888cf3b290a16fbe10a702d9a4eb604a127f720040de583"},
+    {file = "soxr-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ceeb74e5a55d903cc286d3bd12c2d8f8c85d02894071e9ec92ab405430907c"},
+    {file = "soxr-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0eed6bf58192dd1bb93becd2444de4d712689713d727b32fd55623ae9aae7df7"},
+    {file = "soxr-0.3.7-cp39-cp39-win_amd64.whl", hash = "sha256:7221302b4547d02a3f38dd3cd15317ab2b78873c75921db5f4a070848f0c71be"},
+    {file = "soxr-0.3.7.tar.gz", hash = "sha256:436ddff00c6eb2c75b79c19cfdca7527b1e31b5fad738652f044045ba6258593"},
+]
+
+[package.dependencies]
+numpy = "*"
+
+[package.extras]
+docs = ["linkify-it-py", "myst-parser", "sphinx", "sphinx-book-theme"]
+test = ["pytest"]
+
 [[package]]
 name = "srt"
 version = "3.5.3"
@@ -1322,6 +2188,17 @@ files = [
     {file = "tbb-2021.12.0-py3-none-win_amd64.whl", hash = "sha256:fc2772d850229f2f3df85f1109c4844c495a2db7433d38200959ee9265b34789"},
 ]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.4.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "threadpoolctl-3.4.0-py3-none-any.whl", hash = "sha256:8f4c689a65b23e5ed825c8436a92b818aac005e0f3715f6a1664d7c7ee29d262"},
+    {file = "threadpoolctl-3.4.0.tar.gz", hash = "sha256:f11b491a03661d6dd7ef692dd422ab34185d982466c49c8f98c8f716b5c93196"},
+]
+
 [[package]]
 name = "torch"
 version = "2.3.0"
@@ -1583,4 +2460,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "8ce90329d8962f105545d4f210592d0b005a43d2d4a25686ebb7ce2703414234"
+content-hash = "80e7f3585f34cc051c27d91abbe3f4bff80e5ea9fa403103eeed5728b14c2cc5"

pyproject.toml

@@ -26,6 +26,7 @@ torch = "^2.1.1+cpu"
 torchaudio = "^2.1.1+cpu"
 ollama = "^0.1.6"
 ruff = "^0.4.2"
+noisereduce = "^3.0.2"
 
 
 [[tool.poetry.source]]

test.py

@@ -1,67 +0,0 @@
-import asyncio
-import re
-
-import ollama
-import yaml
-
-
-def load_commands(file_path):
-    with open(file_path) as file:
-        data = yaml.safe_load(file)
-        answers = {}
-        command_mapping = {}
-        idx = 1
-        for category, items in data.items():
-            answers[idx] = items
-            command_mapping[idx] = category
-            idx += 1
-        return answers, command_mapping
-
-
-async def chat(answers: dict[int, str], request: str = 'музычку пожалуйста') -> str:
-    answers_str = ''.join([f'{key}. {", ".join(value)}\n' for key, value in answers.items()])
-    messages = [
-        {
-            'role': 'system',
-            'content': 'Пожалуйста, просмотрите список доступных команд и '
-                       'выберите подходящую команду, указав ее номер. '
-                       'Вы можете выбрать одну команду или несколько команд одновременно. '
-                       'В ответе укажите только номер или номера команд, '
-                       'например: "1" или "1, 3, 5". Вот список доступных команд:\n' + answers_str
-        },
-        {
-            'role': 'user',
-            'content': request
-        }
-    ]
-    async_client = ollama.AsyncClient()
-    response = await async_client.chat(
-        model='llama3:8b',
-        messages=messages,
-        options={
-            'temperature': 0.5,
-            'mirostat_tau': 100.0,
-            'repeat_last_n': 2,
-            'num_predict': 20
-        }
-    )
-    return response.get("message").get("content")
-
-
-async def main():
-    answers, command_mapping = load_commands('commands.yaml')
-    number = None
-    while not number:
-        response_content = await chat(answers, "останови музыку и скажи погоду")
-        number = [
-            int(i)
-            for i in re.findall(r'\d+', response_content)
-            if int(i) in answers.keys()
-        ]
-    command_names = [command_mapping[n] for n in number]
-    print(f"Выбранный номер: {command_names}")
-
-
-if __name__ == '__main__':
-    ollama.pull("llama3:8b")
-    asyncio.run(main())

utils/validate_ollama.py

@@ -0,0 +1,67 @@
+import asyncio
+import re
+
+import ollama
+import yaml
+
+
+def load_commands(file_path):
+    with open(file_path) as file:
+        data = yaml.safe_load(file)
+        answers = {}
+        command_mapping = {}
+        idx = 1
+        for category, items in data.items():
+            answers[idx] = items
+            command_mapping[idx] = category
+            idx += 1
+        return answers, command_mapping
+
+
+async def chat(answers: dict[int, str], request: str = 'музычку пожалуйста') -> str:
+    answers_str = ''.join([f'{key}. {", ".join(value)}\n' for key, value in answers.items()])
+    messages = [
+        {
+            'role': 'system',
+            'content': 'Пожалуйста, просмотрите список доступных команд и '
+                       'выберите подходящую команду, указав ее номер. '
+                       'Вы можете выбрать одну команду или несколько команд одновременно. '
+                       'В ответе укажите только номер или номера команд, '
+                       'например: "1" или "1, 3, 5". Вот список доступных команд:\n' + answers_str
+        },
+        {
+            'role': 'user',
+            'content': request
+        }
+    ]
+    async_client = ollama.AsyncClient()
+    response = await async_client.chat(
+        model='llama3:8b',
+        messages=messages,
+        options={
+            'temperature': 0.5,
+            'mirostat_tau': 100.0,
+            'repeat_last_n': 2,
+            'num_predict': 20
+        }
+    )
+    return response.get("message").get("content")
+
+
+async def main():
+    answers, command_mapping = load_commands('commands.yaml')
+    number = None
+    while not number:
+        response_content = await chat(answers, "останови музыку и скажи погоду")
+        number = [
+            int(i)
+            for i in re.findall(r'\d+', response_content)
+            if int(i) in answers.keys()
+        ]
+    return [command_mapping[n] for n in number]
+
+
+if __name__ == '__main__':
+    ollama.pull("llama3:8b")
+    command_names = asyncio.run(main())
+    print(f"Выбранный номер: {command_names}")