diff --git a/week1/community-contributions/day1_gemini_meeting_minutes_from_transcript.ipynb b/week1/community-contributions/day1_gemini_meeting_minutes_from_transcript.ipynb new file mode 100644 index 0000000..9149547 --- /dev/null +++ b/week1/community-contributions/day1_gemini_meeting_minutes_from_transcript.ipynb @@ -0,0 +1,152 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Getting MOM from call transcripts" + ], + "metadata": { + "id": "99Z21wE7xpKS" + } + }, + { + "cell_type": "markdown", + "source": [ + "Import necessary libraries" + ], + "metadata": { + "id": "YZMeexE8M_Pp" + } + }, + { + "cell_type": "code", + "source": [ + "# imports\n", + "\n", + "import os\n", + "import requests\n", + "\n", + "from bs4 import BeautifulSoup\n", + "from IPython.display import Markdown, display\n", + "from openai import OpenAI\n" + ], + "metadata": { + "id": "u5DCVg0Mxj5T" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "i0V11JQ2az-C" + }, + "outputs": [], + "source": [ + "# Load environment variables in a file called .env\n", + "\n", + "#The below code can be uncommented in using .env file\n", + "\n", + "#from dotenv import load_dotenv\n", + "#load_dotenv(override=True)\n", + "#api_key = os.getenv('OPENAI_API_KEY')\n", + "\n", + "#I am using google colab to import api_key\n", + "from google.colab import userdata\n", + "api_key=userdata.get('gemini_api')\n", + "\n", + "# Check the key\n", + "if not api_key:\n", + " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", + "elif not api_key.startswith(\"sk-proj-\"):\n", + " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", + "elif api_key.strip() != api_key:\n", + " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", + "else:\n", + " print(\"API key found and looks good so far!\")" + ] + }, + { + "cell_type": "code", + "source": [ + "# A class to represet Transcript\n", + "from pathlib import Path\n", + "class Transcript:\n", + " def __init__(self, file_path):\n", + " self.file_path=file_path\n", + " self.content=Path(file_path).read_text(encoding='utf-8')\n" + ], + "metadata": { + "id": "j6UTsnTEyWZ-" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Source of the text file -\"https://raw.githubusercontent.com/GeminiLn/EarningsCall_Dataset/refs/heads/master/3M%20Company_20170425/Text.txt\"\n", + "path = '/content/Text.txt' # Specify the path of file you want to use - format should be .txt\n", + "t=Transcript(path)\n" + ], + "metadata": { + "id": "hquePU_mzZ7s" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "\n", + "system_prompt = \"You are expert at taking Meeting Notes & given the below transcript , create an MOM (Minutes of meeting)\"" + ], + "metadata": { + "id": "ex5DB7M8L7KT" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from google import genai\n", + "from google.genai import types\n", + "\n", + "client = genai.Client(api_key=api_key)\n", + "\n", + "response = client.models.generate_content(\n", + " model=\"gemini-2.0-flash\",\n", + " config=types.GenerateContentConfig(\n", + " system_instruction=system_prompt,\n", + " max_output_tokens=500,\n", + " temperature=0.1\n", + " ),\n", + " contents=t.content,\n", + ")\n", + "\n", + "print(response.text)" + ], + "metadata": { + "id": "wcpJ34qfMKmV" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file