Python_Code_Explainer_App.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyPa7bIKM3tsq7o76/weBUak",
      "include_colab_link": true
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/YashsTiwari/Python-Code-Explainer-App/blob/main/Python_Code_Explainer_App.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "OJZTpcBXlrel",
        "outputId": "655a60b6-4603-4ec9-aeb3-a05969357c8b"
      },
      "outputs": [
        {
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          "name": "stdout",
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            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m42.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: ffmpy\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=a0636f8612d687b0915b61ca10cc2b1f39f20ac1c5e20d7855b299a4257f62ee\n",
            "  Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n",
            "Successfully built ffmpy\n",
            "Installing collected packages: pydub, ffmpy, websockets, uvloop, tomlkit, semantic-version, ruff, python-multipart, python-dotenv, orjson, httptools, h11, dnspython, aiofiles, watchfiles, uvicorn, starlette, httpcore, email_validator, httpx, gradio-client, fastapi-cli, fastapi, gradio\n",
            "  Attempting uninstall: tomlkit\n",
            "    Found existing installation: tomlkit 0.13.0\n",
            "    Uninstalling tomlkit-0.13.0:\n",
            "      Successfully uninstalled tomlkit-0.13.0\n",
            "Successfully installed aiofiles-23.2.1 dnspython-2.6.1 email_validator-2.2.0 fastapi-0.111.1 fastapi-cli-0.0.4 ffmpy-0.3.2 gradio-4.39.0 gradio-client-1.1.1 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 orjson-3.10.6 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 ruff-0.5.5 semantic-version-2.10.0 starlette-0.37.2 tomlkit-0.12.0 uvicorn-0.30.3 uvloop-0.19.0 watchfiles-0.22.0 websockets-11.0.3\n"
          ]
        }
      ],
      "source": [
        "!pip install gradio"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Gradio App\n",
        "import gradio as gr\n",
        "import os\n",
        "import google.generativeai as palm\n",
        "\n",
        "# load model\n",
        "# PaLM API Key here\n",
        "palm.configure(api_key=\"AIzaSyBOXmu5TVArJ83ZtW6yA9XnhsF8a-n3khI\")\n",
        "\n",
        "#model defining\n",
        "models = [m for m in palm.list_models() if 'generateText' in m.supported_generation_methods]\n",
        "model = models[0].name\n",
        "\n",
        "# define completion function\n",
        "def get_completion(code_snippet):\n",
        "\n",
        "  python_code_examples = f\"\"\"\n",
        "  ---------------------\n",
        "  Example 1: Code Snippet\n",
        "  x = 10\n",
        "  def foo():\n",
        "      global x\n",
        "      x = 5\n",
        "  foo()\n",
        "  print(x)\n",
        "  Correct output: 5\n",
        "  Code Explanation: Inside the foo function, the global keyword is used to modify the global variable x to be 5.\n",
        "  So, print(x) outside the function prints the modified value, which is 5.\n",
        "  ---------------------\n",
        "  Example 2: Code Snippet\n",
        "  def modify_list(input_list):\n",
        "      input_list.append(4)\n",
        "      input_list = [1, 2, 3]\n",
        "  my_list = [0]\n",
        "  modify_list(my_list)\n",
        "  print(my_list)\n",
        "  Correct output: [0, 4]\n",
        "  Code Explanation: Inside the modify_list function, an element 4 is appended to input_list.\n",
        "  Then, input_list is reassigned to a new list [1, 2, 3], but this change doesn't affect the original list.\n",
        "  So, print(my_list) outputs [0, 4].\n",
        "  ---------------------\n",
        "  \"\"\"\n",
        "\n",
        "  prompt = f\"\"\"\n",
        "  Your task is to act as a Python Code Explainer.\n",
        "  I'll give you a Code Snippet.\n",
        "  Your job is to explain the Code Snippet step-by-step.\n",
        "  Break down the code into as many steps as possible.\n",
        "  Share intermediate checkpoints & steps along with results.\n",
        "  Few good examples of Python code output between #### separator:\n",
        "  ####\n",
        "  {python_code_examples}\n",
        "  ####\n",
        "  Code Snippet is shared below, delimited with triple backticks:\n",
        "  ```\n",
        "  {code_snippet}\n",
        "  ```\n",
        "  \"\"\"\n",
        "\n",
        "  completion = palm.generate_text(\n",
        "      model=model,\n",
        "      prompt=prompt,\n",
        "      temperature=0,\n",
        "      # The maximum length of the response\n",
        "      max_output_tokens=500,\n",
        "      )\n",
        "  response = completion.result\n",
        "  return response\n",
        "\n",
        "# define app UI\n",
        "iface = gr.Interface(fn=get_completion, inputs=[gr.Textbox(label=\"Insert Code Snippet\",lines=5)],\n",
        "                    outputs=[gr.Textbox(label=\"Explanation Here\",lines=5)],\n",
        "                    title=\"Python Code Explainer\"\n",
        "                    )\n",
        "\n",
        "iface.launch(share=True,debug=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "id": "_y4YYjmWl2Dd",
        "outputId": "290db093-f03a-4b59-f82d-f40b8a81c7ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. This cell will run indefinitely so that you can see errors and logs. To turn off, set debug=False in launch().\n",
            "Running on public URL: https://5cc3c66931dba81c2e.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>"
            ],
            "text/html": [
              "<div><iframe src=\"https://5cc3c66931dba81c2e.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}