GPT-PPT-Slides-Generator.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"h2D-1w5gDYry"},"source":["\n","\n","\n","# PPT Slides generator by ChatGPT code-interpretor api\n","\n","[By Brain Assistant](https://assistant.ruoguedu.com)\n","\n","With the assistant, GPT can now leverage code interpreter to process files with diverse data and formatting, and generate files with data and images of graphs.\n","\n","Open it from [Colab](https://colab.research.google.com/github/davideuler/awesome-assistant-api/blob/main/GPT-PPT-Slides-Generator.ipynb)\n","\n","A demo from:\n","[Awesome Assistant API.](https://github.com/davideuler/awesome-assistant-api)\n"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7390,"status":"ok","timestamp":1699861799115,"user":{"displayName":"David Euler","userId":"07212625899225662290"},"user_tz":-480},"id":"lStHlyARDJrG","outputId":"c4cb7b4b-2a9d-4860-9d6e-466f8411e74b"},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: openai in /usr/local/lib/python3.10/dist-packages (1.2.3)\n","Collecting colorama\n","  Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)\n","Requirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai) (3.7.1)\n","Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai) (1.7.0)\n","Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from openai) (0.25.1)\n","Requirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai) (1.10.13)\n","Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai) (4.66.1)\n","Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai) (4.5.0)\n","Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (3.4)\n","Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.3.0)\n","Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai) (1.1.3)\n","Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2023.7.22)\n","Requirement already satisfied: httpcore in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (1.0.2)\n","Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore->httpx<1,>=0.23.0->openai) (0.14.0)\n","Installing collected packages: colorama\n","Successfully installed colorama-0.4.6\n"]}],"source":["!pip install openai colorama"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9411,"status":"ok","timestamp":1699861598839,"user":{"displayName":"David Euler","userId":"07212625899225662290"},"user_tz":-480},"id":"oFmrlnzADhLC","outputId":"124db2f5-d63a-4d82-ce75-227e1692b5d5"},"outputs":[{"name":"stdout","output_type":"stream","text":["Enter the OpenAI API Key(which starts with sk-): ··········\n"]}],"source":["# setup OpenAI api_key\n","import getpass\n","api_key = getpass.getpass(\"Enter the OpenAI API Key(which starts with sk-): \")\n"]},{"cell_type":"markdown","metadata":{"id":"k5R1jbeNDrle"},"source":["Run code"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"bC0ZfSh5r9Wd"},"outputs":[],"source":["# Input the topic for the presentation"]},{"cell_type":"code","execution_count":15,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":98204,"status":"ok","timestamp":1699863140249,"user":{"displayName":"David Euler","userId":"07212625899225662290"},"user_tz":-480},"id":"pgvD6dlPDuiW","outputId":"e57458f6-c148-45bf-d8de-e1fd331ac5ae"},"outputs":[{"name":"stdout","output_type":"stream","text":["Input the topic you would like to present:Rust programming\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...queued \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[33m OpenAI: Run is not yet completed. Waiting...in_progress \u001b[0m\n","\u001b[32m Run is completed.\u001b[0m\n"]}],"source":["import os\n","import time\n","from colorama import Fore, Style\n","import openai\n","\n","client = openai.Client(api_key=api_key)\n","\n","\n","assistant_name = \"PowerPoint Generator by ChatGPT code interpreter\"\n","output_file_name = \"Presentation.pptx\"\n","assistant_instruction = r\"Generate {} file, always. You are subject-matter expert in the topic and professional in creating PowerPoints.. Betweem 1-5 slides. Background, colors, fonts and styling must be modern and easy to read. Make content engaging. Make the file id available to download.\".format(output_file_name)\n","prompt_template = \"Make a presentation for %s. Make a presentaton with useful insights, for sharing and traing slides, breakdown the content into several section, give detail about each part, and create slides with more than 12 pages at least. And you shoud generate and put picture in important slide pages\"\n","\n","slides_topic = input(\"Input the topic you would like to present:\")\n","prompt_user = prompt_template % slides_topic\n","\n","def check_run(client, thread_id, run_id):\n","    while True:\n","        # Refresh the run object to get the latest status\n","        run = client.beta.threads.runs.retrieve(\n","            thread_id=thread_id,\n","            run_id=run_id\n","        )\n","\n","        if run.status == \"completed\":\n","            print(f\"{Fore.GREEN} Run is completed.{Style.RESET_ALL}\")\n","            break\n","        elif run.status == \"expired\":\n","            print(f\"{Fore.RED}Run is expired.{Style.RESET_ALL}\")\n","            break\n","        else:\n","            print(f\"{Fore.YELLOW} OpenAI: Run is not yet completed. Waiting...{run.status} {Style.RESET_ALL}\")\n","            time.sleep(5)  # Wait for 1 second before checking again\n","\n","# Create assistant\n","assistant = client.beta.assistants.create(\n","    name=assistant_name,\n","    instructions=assistant_instruction,\n","    tools=[{\"type\": \"retrieval\"},{\"type\": \"code_interpreter\"}],\n","    model=\"gpt-4-1106-preview\")\n","\n","# create thread, and create a message in the thread\n","thread = client.beta.threads.create()\n","\n","message = client.beta.threads.messages.create(\n","    thread_id=thread.id,\n","    role=\"user\",\n","    content=prompt_user)\n","\n","# run the thread message\n","run = client.beta.threads.runs.create(\n","  thread_id=thread.id,\n","  assistant_id=assistant.id)\n","\n","# check running status\n","check_run(client, thread.id, run.id)\n","\n","# get response message\n","messages = client.beta.threads.messages.list(\n","  thread_id=thread.id)\n","\n","file_path = messages.data[0].content[0].text.annotations[0].file_path.file_id\n","file_x = client.files.with_raw_response.retrieve_content(file_path)\n","\n","\n","with open(output_file_name, \"wb\") as file:  # Open the file in binary write mode\n","    file.write(file_x.content)\n","\n"]},{"cell_type":"markdown","metadata":{"id":"c4aFRQago9Os"},"source":["Finally, download the generated file, and delete the created assistant."]},{"cell_type":"code","execution_count":16,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":35},"executionInfo":{"elapsed":3135,"status":"ok","timestamp":1699863148618,"user":{"displayName":"David Euler","userId":"07212625899225662290"},"user_tz":-480},"id":"JsJTKCT0pE8a","outputId":"e942ebcd-3ef4-465a-8502-56376cd74ea3"},"outputs":[{"data":{"application/javascript":"\n    async function download(id, filename, size) {\n      if (!google.colab.kernel.accessAllowed) {\n        return;\n      }\n      const div = document.createElement('div');\n      const label = document.createElement('label');\n      label.textContent = `Downloading \"${filename}\": `;\n      div.appendChild(label);\n      const progress = document.createElement('progress');\n      progress.max = size;\n      div.appendChild(progress);\n      document.body.appendChild(div);\n\n      const buffers = [];\n      let downloaded = 0;\n\n      const channel = await google.colab.kernel.comms.open(id);\n      // Send a message to notify the kernel that we're ready.\n      channel.send({})\n\n      for await (const message of channel.messages) {\n        // Send a message to notify the kernel that we're ready.\n        channel.send({})\n        if (message.buffers) {\n          for (const buffer of message.buffers) {\n            buffers.push(buffer);\n            downloaded += buffer.byteLength;\n            progress.value = downloaded;\n          }\n        }\n      }\n      const blob = new Blob(buffers, {type: 'application/binary'});\n      const a = document.createElement('a');\n      a.href = window.URL.createObjectURL(blob);\n      a.download = filename;\n      div.appendChild(a);\n      a.click();\n      div.remove();\n    }\n  ","text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{},"output_type":"display_data"},{"data":{"application/javascript":"download(\"download_c566c7e3-4103-4a97-867a-4f762eee092a\", \"Presentation.pptx\", 47054)","text/plain":["<IPython.core.display.Javascript object>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["AssistantDeleted(id='asst_5nNmDVSDHQnVL3512iUAElPm', deleted=True, object='assistant.deleted')"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["from google.colab import files\n","\n","# download the file\n","files.download(output_file_name)\n","\n","# delete the file in OpenAI, and delete the assistant\n","time.sleep(2)\n","client.files.delete(file_path)\n","client.beta.assistants.delete(assistant.id)"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyPaD7KF4olwPDWV5IeHb+ki","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}