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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/abhishektripathi66/datascience/blob/main/Chatbot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install SpeechRecognition"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9b2AELueI4Bg",
        "outputId": "89c5f5ff-fef4-4702-da85-c54fb6a2482b"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting SpeechRecognition\n",
            "  Downloading SpeechRecognition-3.10.1-py2.py3-none-any.whl (32.8 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m32.8/32.8 MB\u001b[0m \u001b[31m25.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: requests>=2.26.0 in /usr/local/lib/python3.10/dist-packages (from SpeechRecognition) (2.31.0)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from SpeechRecognition) (4.9.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->SpeechRecognition) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->SpeechRecognition) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->SpeechRecognition) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.26.0->SpeechRecognition) (2024.2.2)\n",
            "Installing collected packages: SpeechRecognition\n",
            "Successfully installed SpeechRecognition-3.10.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install gTTS"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qzRSjEFyJHBp",
        "outputId": "49936ecf-2e4f-46f9-ba94-c8e37286b30b"
      },
      "execution_count": 4,
      "outputs": [
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          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting gTTS\n",
            "  Downloading gTTS-2.5.1-py3-none-any.whl (29 kB)\n",
            "Requirement already satisfied: requests<3,>=2.27 in /usr/local/lib/python3.10/dist-packages (from gTTS) (2.31.0)\n",
            "Requirement already satisfied: click<8.2,>=7.1 in /usr/local/lib/python3.10/dist-packages (from gTTS) (8.1.7)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.27->gTTS) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.27->gTTS) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.27->gTTS) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.27->gTTS) (2024.2.2)\n",
            "Installing collected packages: gTTS\n",
            "Successfully installed gTTS-2.5.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# for speech-to-text\n",
        "import speech_recognition as sr"
      ],
      "metadata": {
        "id": "QngSwOYuJfWN"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# for text-to-speech\n",
        "from gtts import gTTS"
      ],
      "metadata": {
        "id": "FDCXmiB2JjZ5"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# for language model\n",
        "import transformers"
      ],
      "metadata": {
        "id": "guOL1r6uJkxw"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os"
      ],
      "metadata": {
        "id": "6Bv9p8_nJnp5"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import time"
      ],
      "metadata": {
        "id": "74jkcHddJmX4"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import datetime"
      ],
      "metadata": {
        "id": "hfzN-Qa9JqRx"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np"
      ],
      "metadata": {
        "id": "GmoWT7SWJrl9"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Building the AI\n",
        "class ChatBot():\n",
        "    def __init__(self, name):\n",
        "        print(\"----- Starting up\", name, \"-----\")\n",
        "        self.name = name\n",
        "\n",
        "    def speech_to_text(self):\n",
        "        recognizer = sr.Recognizer()\n",
        "        with sr.Microphone() as mic:\n",
        "            print(\"Listening...\")\n",
        "            audio = recognizer.listen(mic)\n",
        "            self.text=\"ERROR\"\n",
        "        try:\n",
        "            self.text = recognizer.recognize_google(audio)\n",
        "            print(\"Me  --> \", self.text)\n",
        "        except:\n",
        "            print(\"Me  -->  ERROR\")\n",
        "\n",
        "\n",
        "    @staticmethod\n",
        "    def text_to_speech(text):\n",
        "        print(\"Dev --> \", text)\n",
        "        speaker = gTTS(text=text, lang=\"en\", slow=False)\n",
        "\n",
        "        speaker.save(\"res.mp3\")\n",
        "        statbuf = os.stat(\"res.mp3\")\n",
        "        mbytes = statbuf.st_size / 1024\n",
        "        duration = mbytes / 200\n",
        "        os.system('start res.mp3')  #if you are using mac->afplay or else for windows->start\n",
        "        # os.system(\"close res.mp3\")\n",
        "        time.sleep(int(50*duration))\n",
        "        os.remove(\"res.mp3\")\n",
        "\n",
        "\n",
        "\n",
        "    def wake_up(self, text):\n",
        "        return True if self.name in text.lower() else False\n",
        "\n",
        "    @staticmethod\n",
        "    def action_time():\n",
        "        return datetime.datetime.now().time().strftime('%H:%M')\n",
        "\n"
      ],
      "metadata": {
        "id": "mQNHhu2XJxSv"
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      "execution_count": 13,
      "outputs": []
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          "name": "stdout",
          "text": [
            "----- Starting up dev -----\n"
          ]
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          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
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            "text/plain": [
              "config.json:   0%|          | 0.00/642 [00:00<?, ?B/s]"
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          "evalue": "Could not find PyAudio; check installation",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/speech_recognition/__init__.py\u001b[0m in \u001b[0;36mget_pyaudio\u001b[0;34m()\u001b[0m\n\u001b[1;32m    107\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 108\u001b[0;31m             \u001b[0;32mimport\u001b[0m \u001b[0mpyaudio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    109\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pyaudio'",
            "\nDuring handling of the above exception, another exception occurred:\n",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-5-ad1e66d1c984>\u001b[0m in \u001b[0;36m<cell line: 63>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[0mex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m     \u001b[0;32mwhile\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m         \u001b[0mai\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspeech_to_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     72\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m         \u001b[0;31m## wake up\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<ipython-input-5-ad1e66d1c984>\u001b[0m in \u001b[0;36mspeech_to_text\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     25\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mspeech_to_text\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m         \u001b[0mrecognizer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mRecognizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m         \u001b[0;32mwith\u001b[0m \u001b[0msr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMicrophone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmic\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Listening...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m             \u001b[0maudio\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrecognizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlisten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmic\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/speech_recognition/__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, device_index, sample_rate, chunk_size)\u001b[0m\n\u001b[1;32m     78\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m         \u001b[0;31m# set up PyAudio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 80\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyaudio_module\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_pyaudio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     81\u001b[0m         \u001b[0maudio\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyaudio_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPyAudio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     82\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/speech_recognition/__init__.py\u001b[0m in \u001b[0;36mget_pyaudio\u001b[0;34m()\u001b[0m\n\u001b[1;32m    108\u001b[0m             \u001b[0;32mimport\u001b[0m \u001b[0mpyaudio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mImportError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 110\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Could not find PyAudio; check installation\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m         \u001b[0;32mfrom\u001b[0m \u001b[0mdistutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mversion\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mLooseVersion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mLooseVersion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpyaudio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__version__\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mLooseVersion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"0.2.11\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: Could not find PyAudio; check installation"
          ]
        }
      ],
      "source": [
        "\n",
        "# Running the AI\n",
        "if __name__ == \"__main__\":\n",
        "\n",
        "    ai = ChatBot(name=\"dev\")\n",
        "    nlp = transformers.pipeline(\"conversational\", model=\"microsoft/DialoGPT-medium\")\n",
        "    os.environ[\"TOKENIZERS_PARALLELISM\"] = \"true\"\n",
        "\n",
        "    ex=True\n",
        "    while ex:\n",
        "        ai.speech_to_text()\n",
        "\n",
        "        ## wake up\n",
        "        if ai.wake_up(ai.text) is True:\n",
        "            res = \"Hello I am Dave the AI, what can I do for you?\"\n",
        "\n",
        "        ## action time\n",
        "        elif \"time\" in ai.text:\n",
        "            res = ai.action_time()\n",
        "\n",
        "        ## respond politely\n",
        "        elif any(i in ai.text for i in [\"thank\",\"thanks\"]):\n",
        "            res = np.random.choice([\"you're welcome!\",\"anytime!\",\"no problem!\",\"cool!\",\"I'm here if you need me!\",\"mention not\"])\n",
        "\n",
        "        elif any(i in ai.text for i in [\"exit\",\"close\"]):\n",
        "            res = np.random.choice([\"Tata\",\"Have a good day\",\"Bye\",\"Goodbye\",\"Hope to meet soon\",\"peace out!\"])\n",
        "\n",
        "            ex=False\n",
        "        ## conversation\n",
        "        else:\n",
        "            if ai.text==\"ERROR\":\n",
        "                res=\"Sorry, come again?\"\n",
        "            else:\n",
        "                chat = nlp(transformers.Conversation(ai.text), pad_token_id=50256)\n",
        "                res = str(chat)\n",
        "                res = res[res.find(\"bot >> \")+6:].strip()\n",
        "\n",
        "        ai.text_to_speech(res)\n",
        "    print(\"----- Closing down Dev -----\")"
      ]
    }
  ]
}