Merge pull request #549 from snakers4/adamnsandle

Adamnsandle

examples/pyaudio-streaming/README.md

@@ -7,6 +7,8 @@ It has been designed as a low-level example for binary real-time streaming using
 Currently, the notebook consits of two examples:
  - One that records audio of a predefined length from the microphone, process it with Silero-VAD, and plots it afterwards.
  - The other one plots the speech probabilities in real-time (using jupyterplot) and records the audio until you press enter.
+ 
+ This example does not work in google colab! For local usage only.
 
 ## Example Video for the Real-Time Visualization
 

examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "62a0cccb",
+   "id": "76aa55ba",
    "metadata": {},
    "source": [
     "# Pyaudio Microphone Streaming Examples\n",
@@ -12,12 +12,14 @@
     "I created it as an example on how binary data from a stream could be feed into Silero VAD.\n",
     "\n",
     "\n",
-    "Has been tested on Ubuntu 21.04 (x86). After you installed the dependencies below, no additional setup is required."
+    "Has been tested on Ubuntu 21.04 (x86). After you installed the dependencies below, no additional setup is required.\n",
+    "\n",
+    "This notebook does not work in google colab! For local usage only."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "64cbe1eb",
+   "id": "4a4e15c2",
    "metadata": {},
    "source": [
     "## Dependencies\n",
@@ -26,22 +28,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "57bc2aac",
-   "metadata": {},
+   "execution_count": 1,
+   "id": "24205cce",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-10-09T08:47:34.056898Z",
+     "start_time": "2024-10-09T08:47:34.053418Z"
+    }
+   },
    "outputs": [],
    "source": [
-    "#!pip install numpy==2.0.2\n",
-    "#!pip install torch==2.4.1\n",
-    "#!pip install matplotlib==3.9.2\n",
-    "#!pip install torchaudio==2.4.1\n",
+    "#!pip install numpy>=1.24.0\n",
+    "#!pip install torch>=1.12.0\n",
+    "#!pip install matplotlib>=3.6.0\n",
+    "#!pip install torchaudio>=0.12.0\n",
     "#!pip install soundfile==0.12.1\n",
-    "#!pip install pyaudio==0.2.11"
+    "#!apt install python3-pyaudio (linux) or pip install pyaudio (windows)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "110de761",
+   "id": "cd22818f",
    "metadata": {},
    "source": [
     "## Imports"
@@ -49,10 +56,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "5a647d8d",
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 2,
+   "id": "994d7f3a",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-10-09T08:47:39.005032Z",
+     "start_time": "2024-10-09T08:47:36.489952Z"
+    }
+   },
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'pyaudio'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 8\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpylab\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpyaudio\u001b[39;00m\n",
+      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pyaudio'"
+     ]
+    }
+   ],
    "source": [
     "import io\n",
     "import numpy as np\n",
@@ -67,7 +91,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "725d7066",
+   "id": "ac5c52f7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,7 +103,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1c0b2ea7",
+   "id": "ad5919dc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,7 +116,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f9112603",
+   "id": "784d1ab6",
    "metadata": {},
    "source": [
     "### Helper Methods"
@@ -101,7 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5abc6330",
+   "id": "af4bca64",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +148,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5124095e",
+   "id": "ca13e514",
    "metadata": {},
    "source": [
     "## Pyaudio Set-up"
@@ -133,7 +157,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a845356e",
+   "id": "75f99022",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,7 +171,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0b910c99",
+   "id": "4da7d2ef",
    "metadata": {},
    "source": [
     "## Simple Example\n",
@@ -157,7 +181,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9d3d2c10",
+   "id": "6fe77661",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -167,7 +191,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3cb44a4a",
+   "id": "23f4da3e",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -207,7 +231,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a3dda982",
+   "id": "fd243e8f",
    "metadata": {},
    "source": [
     "## Real Time Visualization\n",
@@ -220,7 +244,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "05ef4100",
+   "id": "d36980c2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -230,7 +254,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d1d4cdd6",
+   "id": "5607b616",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -287,7 +311,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1e398009",
+   "id": "dc4f0108",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -311,7 +335,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.10.14"
   },
   "toc": {
    "base_numbering": 1,