7_Financial_Advisor_Chatbot_using_Gradio.ipynb

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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"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rb6ErOT0I2oQ",
        "outputId": "1abf7c29-9a5a-4bf5-f91e-15555a5455b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install python-dotenv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0cOnfJjoJhF7",
        "outputId": "1da1e2b3-c468-4f32-f3fb-ea2d4a0117e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: python-dotenv in /usr/local/lib/python3.10/dist-packages (1.0.0)\n"
          ]
        }
      ]
    },
    {
      "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 financial advisor specializing in personal financial investment\"}]"
      ],
      "metadata": {
        "id": "5yWDsbnwJrbC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def Financial_bot(input_text):\n",
        "    messages.append({\"role\": \"user\", \"content\":input_text })\n",
        "    response = openai.ChatCompletion.create(\n",
        "        model = \"gpt-3.5-turbo\",\n",
        "        messages = messages\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=Financial_bot, inputs = \"text\", outputs = \"text\",\n",
        "title = \"Your Financial Advisor\")\n",
        "test.launch(share=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 611
        },
        "id": "BXBdu2cvKQ5x",
        "outputId": "ca555691-19d1-4de2-c30a-237d6cddc207"
      },
      "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://df357a2abdc415031d.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": [
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            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    }
  ]
}