From adb6401dd0cae4869e5af15c820ebdc4c47c127d Mon Sep 17 00:00:00 2001
From: Aleksandr Mokrov <aleksandr.mokrov@intel.com>
Date: Tue, 19 Mar 2024 06:11:02 +0100
Subject: [PATCH] Unpin numpy version (#1828)

---
 ...55-mms-massively-multilingual-speech.ipynb | 268 ++++--------------
 .../262-softvc-voice-conversion.ipynb         |  54 +---
 2 files changed, 65 insertions(+), 257 deletions(-)

diff --git a/notebooks/255-mms-massively-multilingual-speech/255-mms-massively-multilingual-speech.ipynb b/notebooks/255-mms-massively-multilingual-speech/255-mms-massively-multilingual-speech.ipynb
index add3e3884ac..b745b5f25bb 100644
--- a/notebooks/255-mms-massively-multilingual-speech/255-mms-massively-multilingual-speech.ipynb
+++ b/notebooks/255-mms-massively-multilingual-speech/255-mms-massively-multilingual-speech.ipynb
@@ -4,10 +4,7 @@
    "cell_type": "markdown",
    "id": "c87087c91122e3f8",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "# MMS: Scaling Speech Technology to 1000+ languages with OpenVINO™\n",
@@ -27,10 +24,7 @@
    "cell_type": "markdown",
    "id": "fa80166a11177e7a",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "\n",
@@ -59,10 +53,7 @@
    "cell_type": "markdown",
    "id": "90c7a208b1fa497b",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Prerequisites\n",
@@ -78,15 +69,12 @@
      "end_time": "2023-10-12T15:54:47.440197100Z",
      "start_time": "2023-10-12T15:54:46.774028500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
     "%pip install -q --upgrade pip\n",
-    "%pip install -q \"transformers>=4.33.1\" \"openvino>=2023.1.0\" \"numpy>=1.21.0,<=1.24\" \"nncf>=2.7.0\" \n",
+    "%pip install -q \"transformers>=4.33.1\" \"openvino>=2023.1.0\" \"numpy>=1.21.0\" \"nncf>=2.9.0\" \n",
     "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu torch datasets accelerate soundfile librosa gradio jiwer"
    ]
   },
@@ -99,10 +87,7 @@
      "end_time": "2023-10-12T15:54:47.591931700Z",
      "start_time": "2023-10-12T15:54:46.786966800Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -117,10 +102,7 @@
    "cell_type": "markdown",
    "id": "8d81ab16ec40431a",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Prepare an example audio\n",
@@ -176,10 +158,7 @@
    "cell_type": "markdown",
    "id": "62f4f25bd4987849",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Specify `streaming=True` to not download the entire dataset."
@@ -194,10 +173,7 @@
      "end_time": "2023-10-12T15:54:53.101990700Z",
      "start_time": "2023-10-12T15:54:47.575834800Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -214,10 +190,7 @@
    "cell_type": "markdown",
    "id": "68f9bb826d9a36dd",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Example has a dictionary structure. It contains an audio data and a text transcription."
@@ -256,10 +229,7 @@
      "end_time": "2023-10-12T15:54:53.320425400Z",
      "start_time": "2023-10-12T15:54:53.106498900Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -299,10 +269,7 @@
    "cell_type": "markdown",
    "id": "86963727a1d32e5a",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Language Identification (LID) \n",
@@ -313,10 +280,7 @@
    "cell_type": "markdown",
    "id": "cb607febc51e3782",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Download pretrained model and processor\n",
@@ -334,10 +298,7 @@
      "end_time": "2023-10-12T15:54:59.110836600Z",
      "start_time": "2023-10-12T15:54:53.294937500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -353,10 +314,7 @@
    "cell_type": "markdown",
    "id": "100d4f9dfff9a7d3",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Use the original model to run an inference\n",
@@ -372,10 +330,7 @@
      "end_time": "2023-10-12T15:55:02.814861200Z",
      "start_time": "2023-10-12T15:54:59.111671500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -401,10 +356,7 @@
    "cell_type": "markdown",
    "id": "9bc6f53041bf77e4",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Convert to OpenVINO IR model and run an inference\n",
@@ -415,10 +367,7 @@
    "cell_type": "markdown",
    "id": "2fb627d3",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Select device from dropdown list for running inference using OpenVINO"
@@ -433,10 +382,7 @@
      "end_time": "2023-10-12T15:55:02.914590700Z",
      "start_time": "2023-10-12T15:55:02.908879300Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -472,10 +418,7 @@
    "cell_type": "markdown",
    "id": "ca15564e",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Convert model to OpenVINO format and compile it"
@@ -490,10 +433,7 @@
      "end_time": "2023-10-12T15:55:12.102555300Z",
      "start_time": "2023-10-12T15:55:02.924532500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -532,10 +472,7 @@
    "cell_type": "markdown",
    "id": "40193d2a396bb746",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Now it is possible to run an inference. "
@@ -550,10 +487,7 @@
      "end_time": "2023-10-12T15:55:12.119092Z",
      "start_time": "2023-10-12T15:55:12.119092Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -577,10 +511,7 @@
      "end_time": "2023-10-12T15:55:13.705838100Z",
      "start_time": "2023-10-12T15:55:12.119092Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -602,10 +533,7 @@
    "cell_type": "markdown",
    "id": "346a0954d96d40df",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Let's check another language."
@@ -658,10 +586,7 @@
      "end_time": "2023-10-12T15:55:17.815597900Z",
      "start_time": "2023-10-12T15:55:13.721895900Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -708,10 +633,7 @@
      "end_time": "2023-10-12T15:55:18.506184200Z",
      "start_time": "2023-10-12T15:55:17.815597900Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -731,10 +653,7 @@
    "cell_type": "markdown",
    "id": "e010ed384d1e8ee7",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Automatic Speech Recognition (ASR)\n",
@@ -745,10 +664,7 @@
    "cell_type": "markdown",
    "id": "fe4536f63fe7e612",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Download pretrained model and processor\n",
@@ -781,10 +697,7 @@
    "cell_type": "markdown",
    "id": "5896f5fd08f62071",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "You can look at all supported languages:"
@@ -799,10 +712,7 @@
      "end_time": "2023-10-12T15:55:24.860305100Z",
      "start_time": "2023-10-12T15:55:24.845930900Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -824,10 +734,7 @@
    "cell_type": "markdown",
    "id": "541c53d1c740d668",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Switch out the language adapters by calling the `load_adapter()` function for the model and `set_target_lang()` for the tokenizer. Pass the target language as an input - `\"detect_language_id\"` which was detected in the previous step."
@@ -842,10 +749,7 @@
      "end_time": "2023-10-12T15:55:25.029800800Z",
      "start_time": "2023-10-12T15:55:24.860305100Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -868,10 +772,7 @@
    "cell_type": "markdown",
    "id": "de68b1eac717cc26",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Use the original model for inference\n",
@@ -887,10 +788,7 @@
      "end_time": "2023-10-12T15:55:26.524665500Z",
      "start_time": "2023-10-12T15:55:25.032584500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -916,10 +814,7 @@
    "cell_type": "markdown",
    "id": "bda2f58170bfa2f4",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Convert to OpenVINO IR model and run inference\n",
@@ -980,10 +875,7 @@
    "cell_type": "markdown",
    "id": "e4fb2cd466365800",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Run inference."
@@ -1029,10 +921,7 @@
    "cell_type": "markdown",
    "id": "6c57dd01",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Quantization\n",
@@ -1059,9 +948,6 @@
      "start_time": "2023-10-12T15:55:36.148877700Z"
     },
     "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    },
     "test_replace": {
      "value=False": "value=True"
     }
@@ -1100,10 +986,7 @@
    "cell_type": "markdown",
    "id": "9bc6116f",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Let's load skip magic extension to skip quantization if to_quantize is not selected"
@@ -1118,10 +1001,7 @@
      "end_time": "2023-10-12T15:55:36.170645600Z",
      "start_time": "2023-10-12T15:55:36.163169700Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -1151,10 +1031,7 @@
      "end_time": "2023-10-12T15:55:36.170645600Z",
      "start_time": "2023-10-12T15:55:36.164170900Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -1182,10 +1059,7 @@
      "end_time": "2023-10-12T15:55:40.725145300Z",
      "start_time": "2023-10-12T15:55:36.211259800Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -1232,10 +1106,7 @@
    "cell_type": "markdown",
    "id": "5f659976",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Language identification model quantization\n",
@@ -1253,10 +1124,7 @@
      "end_time": "2023-10-12T15:55:51.500695900Z",
      "start_time": "2023-10-12T15:55:40.807758Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -1327,10 +1195,7 @@
      "end_time": "2023-10-12T15:55:52.495642700Z",
      "start_time": "2023-10-12T15:55:51.504925300Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -1352,10 +1217,7 @@
    "cell_type": "markdown",
    "id": "8ea8dc6b",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Speech recognition model quantization\n",
@@ -1373,10 +1235,7 @@
      "end_time": "2023-10-12T15:56:01.626285500Z",
      "start_time": "2023-10-12T15:55:52.491524500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -1449,10 +1308,7 @@
      "end_time": "2023-10-12T15:56:12.738307100Z",
      "start_time": "2023-10-12T15:56:01.643402100Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -1482,10 +1338,7 @@
    "cell_type": "markdown",
    "id": "3d7702bf",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "### Compare model size, performance and accuracy\n",
@@ -1503,10 +1356,7 @@
      "end_time": "2023-10-12T15:56:12.738307100Z",
      "start_time": "2023-10-12T15:56:12.738307100Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -1543,10 +1393,7 @@
    "cell_type": "markdown",
    "id": "35db21f7",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Secondly we compare accuracy values of the original and quantized models on a test split of MLS dataset. We rely on the Word Error Rate (WER) metric and compute accuracy as `(1 - WER)`.\n",
@@ -1564,9 +1411,6 @@
      "start_time": "2023-10-12T15:56:12.740287600Z"
     },
     "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    },
     "test_replace": {
      "TEST_DATASET_SIZE = 20": "TEST_DATASET_SIZE = 1"
     }
@@ -1665,10 +1509,7 @@
    "cell_type": "markdown",
    "id": "ba1a229fd290ec31",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Interactive demo with Gradio\n",
@@ -1686,10 +1527,7 @@
      "end_time": "2023-10-12T16:17:33.520443100Z",
      "start_time": "2023-10-12T16:13:07.494290500Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
diff --git a/notebooks/262-softvc-voice-conversion/262-softvc-voice-conversion.ipynb b/notebooks/262-softvc-voice-conversion/262-softvc-voice-conversion.ipynb
index 7f3567db802..fdda2c3777e 100644
--- a/notebooks/262-softvc-voice-conversion/262-softvc-voice-conversion.ipynb
+++ b/notebooks/262-softvc-voice-conversion/262-softvc-voice-conversion.ipynb
@@ -36,17 +36,14 @@
    "execution_count": null,
    "id": "a1aaa6bb335f4efe",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
     "%pip install -q --upgrade pip setuptools\n",
     "%pip install -q \"openvino>=2023.2.0\"\n",
     "!git clone https://github.com/svc-develop-team/so-vits-svc -b 4.1-Stable\n",
-    "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu  tqdm librosa \"torch>=2.1.0\" \"torchaudio>=2.1.0\" faiss-cpu gradio \"numpy==1.23.5\" \"fairseq==0.12.2\" praat-parselmouth"
+    "%pip install -q --extra-index-url https://download.pytorch.org/whl/cpu  tqdm librosa \"torch>=2.1.0\" \"torchaudio>=2.1.0\" faiss-cpu gradio \"numpy>=1.23.5\" \"fairseq==0.12.2\" praat-parselmouth"
    ]
   },
   {
@@ -62,10 +59,7 @@
    "execution_count": null,
    "id": "5ca855b365c4e0e7",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -116,10 +110,7 @@
      "end_time": "2023-10-11T16:23:39.582765900Z",
      "start_time": "2023-10-11T16:23:39.441185100Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -143,10 +134,7 @@
      "end_time": "2023-10-11T16:24:11.594409400Z",
      "start_time": "2023-10-11T16:23:48.236884800Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "outputs": [],
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@@ -172,10 +160,7 @@
      "end_time": "2023-10-11T16:24:34.084985700Z",
      "start_time": "2023-10-11T16:24:22.823731700Z"
     },
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "outputs": [],
    "source": [
@@ -205,10 +190,7 @@
    "execution_count": null,
    "id": "a941d393fb0d9f5b",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "source": [
@@ -248,10 +230,7 @@
    "execution_count": null,
    "id": "259b86a26d06f881",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "source": [
@@ -303,10 +282,7 @@
    "execution_count": null,
    "id": "b907034e797533dc",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "outputs": [],
    "source": [
@@ -338,10 +314,7 @@
    "execution_count": null,
    "id": "fb890ffe86cd0a84",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "source": [
@@ -376,10 +349,7 @@
    "execution_count": null,
    "id": "bea8d8b65b7fb95d",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
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    "source": [
@@ -492,4 +462,4 @@
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  "nbformat": 4,
  "nbformat_minor": 5
-}
\ No newline at end of file
+}