6_Dietitian_Chatbot_using_Gradio.ipynb

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    "colab": {
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    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!pip install openai==0.27.0\n",
        "!pip install gradio\n",
        "!pip install python-dotenv"
      ],
      "metadata": {
        "id": "rb6ErOT0I2oQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c0eb57b9-a110-4c38-8749-2196d5254b9a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import openai\n",
        "import gradio"
      ],
      "metadata": {
        "id": "kh-VfxuNJK5x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "openai.api_key = 'your key'\n",
        "os.environ['OPENAI_API_KEY'] = openai.api_key"
      ],
      "metadata": {
        "id": "4Gr27apo7ZgP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from dotenv import load_dotenv, find_dotenv\n",
        "_ = load_dotenv(find_dotenv())\n",
        "openai.api_key = os.environ['OPENAI_API_KEY']"
      ],
      "metadata": {
        "id": "fzL4Vkk77bBt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "messages = [{\"role\": \"system\", \"content\": \"You are a Dietician having expertise in balanced diets and health \"}]\n"
      ],
      "metadata": {
        "id": "5yWDsbnwJrbC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def Dietitian_bot(input_text):\n",
        "    messages.append({\"role\": \"user\", \"content\":input_text })\n",
        "\n",
        "    response = openai.ChatCompletion.create(\n",
        "        model = \"gpt-3.5-turbo\",\n",
        "        messages = messages\n",
        "    )\n",
        "\n",
        "    response = response[\"choices\"][0][\"message\"][\"content\"]\n",
        "    messages.append({\"role\": \"assistant\", \"content\": response})\n",
        "    return response"
      ],
      "metadata": {
        "id": "wnL-iHnQJ3zc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test = gradio.Interface(fn=Dietitian_bot, inputs = \"text\", outputs = \"text\",\n",
        "title = \"Your Dietitian\")\n",
        "test.launch(share=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "BXBdu2cvKQ5x",
        "outputId": "9d3c7618-9d3e-42d0-b866-c46b1308e6f9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Running on public URL: https://9f6c9433cd82399653.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
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            "text/html": [
              "<div><iframe src=\"https://9f6c9433cd82399653.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    }
  ]
}