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_notebooks/2023-06-05-ProgressThroughFinalProject.ipynb
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| { | ||
| "cells": [ | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Learning Through The Final Project\n", | ||
| "> This notebook will document my progress, learning, and problems I ran into while completing my final project for Data Structures 2.\n", | ||
| "\n", | ||
| "- title: AI Teaching Progress\n", | ||
| "- toc: true\n", | ||
| "- comments: false\n", | ||
| "- categories: [Week-37]" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Week 1 (05/15)\n", | ||
| "\n", | ||
| "During this week, I was doing mainly research to help me find out how to attack the project. I was mainly using YouTube videos and documentation from OpenAI's API documentation page.\n", | ||
| "\n", | ||
| "Resources:\n", | ||
| "1. [Video 1 - How to deploy frontend project to Microsoft Azure](https://youtu.be/LX_DXLlaymg)\n", | ||
| "2. [Video 2 - ChatGPT Chatbot Creation Using Python ](https://youtu.be/pGOyw_M1mNE)\n", | ||
| "2. [Video 3 - How To Use OpenAI API](https://youtu.be/Vurdg6yrPL8)\n", | ||
| "2. [OpenAI Documentation](https://platform.openai.com/docs/api-reference)" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Week 2 (05/22)\n", | ||
| "\n", | ||
| "During this week, I have started building the project and experimenting with different types of files that I could add this program to. I ran into a few problems when trying to iterate through the _posts directory and adding the ChatGPT materials, because most of the files in the _posts directory were auto-generated .md files that were converted from Jupyter Notebooks for deployment." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "for root, dirs, files in os.walk(post_dir):\n", | ||
| " for file in files:\n", | ||
| " # For this to work, the auto-generated files have to be in a different folder than the \n", | ||
| " if file.endswith(\".md\"):\n", | ||
| " md_file_path = os.path.join(root, file)\n", | ||
| "\n", | ||
| " # Step 5: Parse Markdown or Jupyter Notebook content\n", | ||
| " with open(md_file_path, \"r\") as f:\n", | ||
| " content = f.read()\n", | ||
| " tags_start = content.find(\"tags:\")\n", | ||
| " tags_end = content.find(\"\\n\", tags_start)\n", | ||
| " tags = content[tags_start + 5:tags_end].strip() if tags_start != -1 else \"\"\n", | ||
| "\n", | ||
| " # Step 6: Invoke ChatGPT API\n", | ||
| " api_output = interact_with_api(tags)\n", | ||
| "\n", | ||
| " # Step 7: Update Markdown or Jupyter Notebook content\n", | ||
| " # Modify the content as per your requirements\n", | ||
| " # For example, append the output as a new section\n", | ||
| " updated_content = f\"{content}\\n\\n## ChatGPT API Output\\n\\n{api_output}\"\n", | ||
| "\n", | ||
| " # Step 8: Save modified file\n", | ||
| " with open(md_file_path, \"w\") as f:\n", | ||
| " f.write(updated_content)" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "## Week 3 (05/29)\n", | ||
| "\n", | ||
| "This week, I finished the notebook directory function and finished off the project and started on the fully deployed CodeGPT website. I have not finished the project, but will have it done in the next two weeks or so." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "def process_notebooks(notebook_dir):\n", | ||
| " for root, dirs, files in os.walk(notebook_dir):\n", | ||
| " for file in files:\n", | ||
| " if file.endswith(\".ipynb\"):\n", | ||
| " notebook_path = os.path.join(root, file)\n", | ||
| " notebook = nbformat.read(notebook_path, as_version=nbformat.NO_CONVERT)\n", | ||
| "\n", | ||
| " # Step 5: Parse Markdown or Jupyter Notebook content\n", | ||
| " tags = notebook[\"metadata\"].get(\"tags\", [])\n", | ||
| "\n", | ||
| " # Step 6: Invoke ChatGPT API\n", | ||
| " api_output = interact_with_api(tags)\n", | ||
| "\n", | ||
| " # Step 7: Update Markdown or Jupyter Notebook content\n", | ||
| " # Modify the notebook as per your requirements\n", | ||
| " # For example, append the output as a markdown cell at the end\n", | ||
| " new_cell = nbformat.v4.new_markdown_cell(source=api_output)\n", | ||
| " notebook[\"cells\"].append(new_cell)\n", | ||
| "\n", | ||
| " # Step 8: Save modified file\n", | ||
| " nbformat.write(notebook, notebook_path)" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "name": "python", | ||
| "version": "3.9.7" | ||
| }, | ||
| "orig_nbformat": 4 | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |