code.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1Zg48CRvaBKnt1GV7PiqHDLZzkfCnL_1A",
      "authorship_tag": "ABX9TyOhDKqlgDBzJVBeGSfEE8Sb",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Jerrinthomas007/Human-Face-Detection/blob/main/code.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KPC1mFydUL0G",
        "outputId": "1e3e9eb9-ddf6-447d-9fbd-b02b4c7015b2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting pydub\n",
            "  Downloading pydub-0.25.1-py2.py3-none-any.whl (32 kB)\n",
            "Installing collected packages: pydub\n",
            "Successfully installed pydub-0.25.1\n"
          ]
        }
      ],
      "source": [
        "!pip install pydub\n",
        "# Install necessary libraries for your chosen transcription service (e.g., Whisper)\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from pydub import AudioSegment\n",
        "\n",
        "# Load the audio file\n",
        "audio = AudioSegment.from_file(\"/content/drive/MyDrive/nlp assignment/0305e611-e987-42c9-9bca-1e3a5cbf49ca\")\n",
        "\n",
        "audio.channels\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ba1rPsFRVUJ6",
        "outputId": "5c905fcc-4bb5-4c26-8b9b-fb323d46e768"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install git+https://github.com/resemble-ai/Resemblyzer.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "jYTmQr0E4rC1",
        "outputId": "8a6e5705-e295-40aa-878e-38304e9df244"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/resemble-ai/Resemblyzer.git\n",
            "  Cloning https://github.com/resemble-ai/Resemblyzer.git to /tmp/pip-req-build-694fiw06\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/resemble-ai/Resemblyzer.git /tmp/pip-req-build-694fiw06\n",
            "  Resolved https://github.com/resemble-ai/Resemblyzer.git to commit 15d828edebe06bc72b9cabc8ef8ca5ab2cb457ce\n",
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            "  Downloading webrtcvad-2.0.10.tar.gz (66 kB)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.0->librosa>=0.9.1->Resemblyzer==0.1.4) (3.3.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.0->librosa>=0.9.1->Resemblyzer==0.1.4) (3.4)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.19.0->pooch>=1.0->librosa>=0.9.1->Resemblyzer==0.1.4) (2023.7.22)\n",
            "Building wheels for collected packages: Resemblyzer, webrtcvad, typing\n",
            "  Building wheel for Resemblyzer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for Resemblyzer: filename=Resemblyzer-0.1.4-py3-none-any.whl size=15747603 sha256=d54ba7b5c9d75017d87540c72b3db0f200a3f01e366e91a7b329ca5515ed98f6\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-efsqxbhe/wheels/1e/0b/e3/82cb85f07abfaaedff4b20537ff31bf8346039c9a9078dd4f5\n",
            "  Building wheel for webrtcvad (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for webrtcvad: filename=webrtcvad-2.0.10-cp310-cp310-linux_x86_64.whl size=73471 sha256=711a0da723083606a810b8f073f6fcd36c9e39c9d35fcda36ef1ddee179bc9d8\n",
            "  Stored in directory: /root/.cache/pip/wheels/2a/2b/84/ac7bacfe8c68a87c1ee3dd3c66818a54c71599abf308e8eb35\n",
            "  Building wheel for typing (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for typing: filename=typing-3.7.4.3-py3-none-any.whl size=26305 sha256=8b90b998f0685b1d4fb33aad334f658e83fb4670f617da2aab8b4410b5656c22\n",
            "  Stored in directory: /root/.cache/pip/wheels/7c/d0/9e/1f26ebb66d9e1732e4098bc5a6c2d91f6c9a529838f0284890\n",
            "Successfully built Resemblyzer webrtcvad typing\n",
            "Installing collected packages: webrtcvad, typing, Resemblyzer\n",
            "Successfully installed Resemblyzer-0.1.4 typing-3.7.4.3 webrtcvad-2.0.10\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "typing"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "from resemblyzer import preprocess_wav, VoiceEncoder\n",
        "from pathlib import Path\n",
        "\n",
        "#give the file path to your audio file\n",
        "audio_file_path = '/content/drive/MyDrive/nlp assignment/audio.wav'\n",
        "wav_fpath = Path(audio_file_path)\n",
        "\n",
        "wav = preprocess_wav(wav_fpath)\n",
        "encoder = VoiceEncoder(\"cpu\")\n",
        "_, cont_embeds, wav_splits = encoder.embed_utterance(wav, return_partials=True, rate=16)\n",
        "print(cont_embeds.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-9tR-k5v4xn5",
        "outputId": "8354f6ab-a3a5-4f22-80ea-47631d5bf355"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loaded the voice encoder model on cpu in 0.15 seconds.\n",
            "(2043, 256)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip3 install spectralcluster"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J4Z8gbTs5m2U",
        "outputId": "a905f3d1-079e-400b-c9b4-ebf35b59545c"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting spectralcluster\n",
            "  Downloading spectralcluster-0.2.21-py3-none-any.whl (31 kB)\n",
            "Installing collected packages: spectralcluster\n",
            "Successfully installed spectralcluster-0.2.21\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from spectralcluster import SpectralClusterer\n",
        "\n",
        "clusterer = SpectralClusterer(\n",
        "    min_clusters=2,\n",
        "    max_clusters=100,\n",
        "\n",
        "    )\n",
        "\n",
        "labels = clusterer.predict(cont_embeds)"
      ],
      "metadata": {
        "id": "RNP_lFmJ6Cpt"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def create_labelling(labels,wav_splits):\n",
        "    from resemblyzer import sampling_rate\n",
        "    times = [((s.start + s.stop) / 2) / sampling_rate for s in wav_splits]\n",
        "    labelling = []\n",
        "    start_time = 0\n",
        "\n",
        "    for i,time in enumerate(times):\n",
        "        if i>0 and labels[i]!=labels[i-1]:\n",
        "            temp = [str(labels[i-1]),start_time,time]\n",
        "            labelling.append(tuple(temp))\n",
        "            start_time = time\n",
        "        if i==len(times)-1:\n",
        "            temp = [str(labels[i]),start_time,time]\n",
        "            labelling.append(tuple(temp))\n",
        "\n",
        "    return labelling\n",
        "\n",
        "labelling = create_labelling(labels,wav_splits)"
      ],
      "metadata": {
        "id": "K01kr_Fo6N8S"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(labelling)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "te8T4sfcaoHE",
        "outputId": "c37848a8-5a00-4fa3-87a6-730ae2a41f8a"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "44"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "i=0\n",
        "j=0\n",
        "for label in labelling:\n",
        "\n",
        "  a=label[1]*1000\n",
        "  b=label[2]*1000\n",
        "\n",
        "  caller_segment = audio[a:b]\n",
        "\n",
        "  if label[0]=='0':\n",
        "    i=i+1\n",
        "    caller_segment.export(\"/content/drive/MyDrive/nlp assignment/caller/caller{0}.wav\".format(i), format=\"wav\")\n",
        "  if label[0]=='1':\n",
        "    j=j+1\n",
        "    caller_segment.export(\"/content/drive/MyDrive/nlp assignment/callee/callee{0}.wav\".format(j), format=\"wav\")"
      ],
      "metadata": {
        "id": "arIWWy3IuHdb"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pip install -U openai-whisper"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "CnubEiw1BRqD",
        "outputId": "48873f8c-3d31-4976-dc66-4fbdae41bf87"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting openai-whisper\n",
            "  Downloading openai-whisper-20230918.tar.gz (794 kB)\n",
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            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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            "Building wheels for collected packages: openai-whisper, lit\n",
            "  Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai-whisper: filename=openai_whisper-20230918-py3-none-any.whl size=798400 sha256=3925c3d8b83a113ffedc96aad16f41f6a0a440fb6a95c34f91e89f957b93eae0\n",
            "  Stored in directory: /root/.cache/pip/wheels/5d/37/b1/9aea93201fe91e3561719120da92cc23e77b7ef6f3d0d9491a\n",
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            "  Created wheel for lit: filename=lit-17.0.4-py3-none-any.whl size=93257 sha256=a72591c1d630128bb279831a5f4a1a7dfac8fc65bf6af248c4dba81a706da76a\n",
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            "Successfully built openai-whisper lit\n",
            "Installing collected packages: lit, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, tiktoken, nvidia-cusolver-cu11, nvidia-cudnn-cu11, triton, torch, openai-whisper\n",
            "  Attempting uninstall: triton\n",
            "    Found existing installation: triton 2.1.0\n",
            "    Uninstalling triton-2.1.0:\n",
            "      Successfully uninstalled triton-2.1.0\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.0+cu118\n",
            "    Uninstalling torch-2.1.0+cu118:\n",
            "      Successfully uninstalled torch-2.1.0+cu118\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "torchaudio 2.1.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\n",
            "torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.0.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed lit-17.0.4 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 openai-whisper-20230918 tiktoken-0.3.3 torch-2.0.1 triton-2.0.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "torch",
                  "torchgen"
                ]
              }
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import whisper\n",
        "model = whisper.load_model(\"base\")\n",
        "result = model.transcribe(\"/content/drive/MyDrive/nlp assignment/audio.wav\")\n",
        "print(result[\"text\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UZcuKSJyKJpJ",
        "outputId": "ef7160fa-bc0b-4e34-d76e-07b5378b3815"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Hello. Hello. Hi, Joshad. Hi. Hi. So this is actually I'm calling from my wife, you have a maiden query on Facebook regarding the travel booking to Manali right? Yeah. Yeah. So can I know the details like for which date or for which date or your local phone? I'm looking for a week forward from now for for my friends and me. How many people sorry? Total five including me. Okay. And can you confirm the dates? It will be one week from now. It will be one week from now. So today is 16 16 plus seven that is 23 around like 23 24 8. Yeah. Around 24 24. Okay. Four days and five nights. Okay. Four days. That is five days and four nights right? Yeah. That is how it works. Okay. So can you know your preferences like what kind of room sorry looking for is it like you are looking for hotels or a black market hostel or kind of a resort? I think I'll choose a resort. It is better for me. Resorts with swimming pool? No. It is already very cold there. Sorry. It is already very cold there. So it's already very cold there. Okay. Okay. Okay. So we have two resorts near new manani. Yeah. I'll send you the details over what's the valid work for you? Yes. Sure. Okay. Anything else you want to ask except the rooms like do you also looking for transportation from Delhi? We go by transportation from Delhi to Manali. No. I'm taking my own car. You are taking your own car. Okay. And do you want to include any activities? I just have a reference from a hotel or resort anything if it can be near Hadim Bhadivit temple. It can be near Hadim Bhadivit temple. Okay. Noted. And what about the activities? Are you looking for any activities in Manali? Not so much. We are there for only some fun and you know the boys fun. Okay. Got it. Okay.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import json"
      ],
      "metadata": {
        "id": "d4IEABUlLsEC"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def transcribe_audio(audio_file):\n",
        "    transcribed_text = model.transcribe(audio_file)\n",
        "    return transcribed_text"
      ],
      "metadata": {
        "id": "BFIqC2Hc65hP"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "conversations=[]\n",
        "for i in range(1,i):\n",
        "  caller=\"/content/drive/MyDrive/nlp assignment/caller/caller{0}.wav\".format(i)\n",
        "  callee=\"/content/drive/MyDrive/nlp assignment/callee/callee{0}.wav\".format(i)\n",
        "  caller_text=transcribe_audio(caller)\n",
        "  callee_text=transcribe_audio(callee)\n",
        "  conversation_data = {\n",
        "        \"caller\": caller_text[\"text\"]\n",
        "      ,\n",
        "        \"callee\": callee_text[\"text\"]\n",
        "\n",
        "    }\n",
        "\n",
        "  conversations.append(conversation_data)\n",
        "\n",
        "with open('/content/drive/MyDrive/nlp assignment/multiple_conversations.json', 'w') as file:\n",
        "    json.dump(conversations, file, indent=4)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x8BuYgYV7YI0",
        "outputId": "3f8d4694-917a-471c-c074-3c43f0ed35bb"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n",
            "/usr/local/lib/python3.10/dist-packages/whisper/transcribe.py:114: UserWarning: FP16 is not supported on CPU; using FP32 instead\n",
            "  warnings.warn(\"FP16 is not supported on CPU; using FP32 instead\")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "NG48vu6L88i9"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}